10 Best Free HTML5 Resources

HTML5 still remains king of the web, with over 94% of websites using it for their markup language. It has caught the popularity wave because of its adaptability and ease of use, essential skills for aspiring web developers. To help beginners get started, we’ve compiled a list of the 10 best free HTML5 resources available online. Among them are tutorials, documentation and tools that allow you to try some things on your own.

W3Schools HTML5 Tutorial

At W3Schools you will find a complete HTML5 tutorial that help you to become a proficient HTML5 developer quickly. This is an ideal resource for those beginning to learn how to code as well as those with some experience. More than 200 examples and interactive exercises for users to practice and test what they know are included in the tutorial. Moreover, W3Schools present complete reference on HTML elements, attributes, events, etc.

A recent report informs us that W3Schools is a popular choice among online web development learning platform. W3Schools HTML5 Tutorial assists millions of users around the world to brush their web development skills and according to their report, here.

For illustration, the tutorial’s steps start from the most basic HTML5, like creating a simple HTML document, and then move up to making more elaborate elements, for instance multimedia elements and forms. For example, users can also use the “My Learning” program where they can track their progress and earn points and certificates once the course is completed.

Recommended reading: What HTML Is: Everything You Need To Know

Mozilla Developer Network (MDN) Web Docs

There are countless resources for web (and beyond) developers in the Mozilla Developer Network (MDN) Web Docs. It offers documentation and examples for how to put HTML5, CSS, and JavaScript to good use. HTML 5 is currently the most used mark language, with 94% of all websites using it as of November 2024. MDN Web Docs is an invaluable resource to both beginner and experienced users

And for all those who are willing to learn more, MDN is offering interactive tutorials and guides all the way from the basics to more advanced topics. For example, the HTML Introduction module will help new developers learn the structure of web content and the CSS Styling Text module will teach how to effectively style text. JavaScript First Steps is ideal for the new programmer.

The standards and best practices are frequently updated on the platform. As such this guarantees that all the information is current for the developers.

Codecademy’s HTML5 Course

If you’re a beginner, Codecademy’s HTML5 course provides a great, interactive learning experience. Learners are presented with hands on exercises to apply HTML5 concepts. Using the power of AI in the background, Codecademy can offer specific, targeted feedback on your coding challenges instantaneously.

The course also includes real world projects where learners can immediately apply their newly learned skills to real world projects. For instance, a project is creating a fashion blog to let the users practice structuring HTML content. Codecademy also provides quizzes to check understanding and what I personally love, is that you’ll receive a certificate of completion if you’d like to present your skills on your resume or on LinkedIn.

Recent data has shown that Codecademy’s HTML5 course now has more than 2 million learners bettering their web development skills. This course is beginner friendly and should take no more than 7 hours to complete. It is therefore a great resource for anyone wanting to launch their journey into web development.

HTML5 Rocks

A collaborative site by Google and Mozilla, HTML5 Rocks is full of tutorials, articles, and examples. It has to be a go to resource for everyone looking to learn and have the mastery of HTML5. It includes interactive presentations, a playground for experimenting with HTML5 code, and extensive tutorials. HTML5 Rocks is an up to date introduction to HTML5 features with contributions from developers all over the world.

For example, HTML5 Rocks covers things such as performance, mobile web development, and the latest HTML5 API’s. The tutorials have tutorials which help developers build real world projects with HTML5. HTML5 Rocks has something for beginners or seasoned developers.

Coursera’s HTML5 Fundamentals

The University of Michigan offers an excellent answer for newbies on the HTML5 Fundamentals course via Coursera. In this course you will learn the basics of HTML5 showing how to use common tags, create images and links, and make sure your web pages are accessible. With no experience required, this is ideal for web developers who are new to Coding.

Over 574,020 learners already learned valuable skills through the course. It consists of three modules and takes around 11 hours. At the end, you’ll know HTML5 and have a shareable certificate to put on your LinkedIn profile.

HTML5 Doctor

HTML5 Doctor is a valuable resource for beginners looking for free HTML5 resources. With practical advice and tips in situ on the blog, users learn how to work with the latest web standards, such as HTML5, properly. HTML5 Doctor is focused on real world examples and explanations to give you a resource to your HTML5 learning that is as engaging as possible.

According to recent statistics, most web browsers now support HTML5 making it a must have skill for web developers. HTML5 Doctor’s articles span a wide range of topics from basic HTML5 elements to more advanced techniques, and includes information appropriate for all level’s of learner.

For example, an HTML5 Doctor article which has got a lot of response describes how you can make use of the <details> and <summary> elements to make your content interactive. Through this practical example we help the beginners to understand how the HTML5 features can be used to enhance user experience.

HTML5 Doctor further stresses that semantic HTML helps with the accessibility and even the SEO. The advice given on the blog allows the developers build more efficient and user friendly websites.

To sum that all up, HTML5 Doctor is a must read for HTML5 tutorial and HTML5 learn or master it. Its practical advice, real-world examples, and focus on accessibility make it a top choice for beginners seeking free HTML5 resources.

Telerik’s HTML5 Report Viewer

Telerik’s HTML5 Report Viewer is a powerful tool developed for the developers to create and view HTML5 reports. A pure HTML5/JavaScript/CSS3, jQuery based widget that helps to embed the Telerik HTML reports in an HTML page. The viewer is mobile friendly and has been optimized for both mobile and desktop browsers in order to adapt to the best layout.

Layout & styling: HTML5 Report Viewer’s customizable layout and styling stand out as one of its key features. They tailor the viewer’s appearance utilizing CSS3 styles, HTML5 templates. Further, the viewer offers a toolbar with page navigation, report refresh or export to different format functionalities.

In addition, HTML5 Report Viewer supports end user interaction such as drill down and drill through, navigation to bookmark and external URL. Because it has good compression over the same range and is ideal for writing interactive and user friendly reports.

HTML5 Boilerplate

HTML5 Boilerplate is a front-end template with which developers can build fast, robust and flexible web applications. The best part is its the knowledge and efforts of hundreds of developers combined into one comprehensive package. It has a delete-key friendly index.html with basic meta tags, the main.css file with base styles, media quurys, print styles and server settings for great performance and security.

HTML5 Boilerplate has a report saying that with the use of this template, developers are able to save a lot of time by having a strong start to their project. This template is used largely by professionals as well as the newbies, so that websites are optimized for performance and compatibility across several browsers and devices.

For instance, a small business can easily use HTML5 Boilerplate to make a professional site without probably requiring a difficult coding skills. It is preconfigured with the right settings and styles so that it can be easily customized or changed according to your specific project requirements.

HTML5 Cross Browser Polyfills

HTML5 Cross Browser Polyfills are developer essential tools. They ensure HTML5 features work effortlessly between every browser, including those that are not so recent.

For instance, html5shiv allows to use HTML5 elements in older Internet Explorer versions. Another example is mediaelement.js, which offers a uniform way of audio and video play across browsers. These polyfills are important for a consistent user experience.

If you want to learn more about HTML5 Cross Browser Polyfills, you can check out the in depth guide on SitePoint. In this guide, we discuss why polyfills are important, and how to use them.

Polyfill allows developers to guarantee that websites can remain usable and accessible to all users irrespective of what browser any user picks. The key to building robust, future proof applications is this approach.

freeCodeCamp’s HTML5 Cheat Sheet

freeCodeCamp’s HTML5 Cheat Sheet is a comprehensive guide that covers essential HTML5 tags, attributes, and elements. It’s perfect for beginners looking to quickly reference HTML5 syntax and structure. The cheat sheet includes examples and explanations, making it easy to understand.

The cheat sheet is a valuable resource for beginners because it provides a clear and concise reference for HTML5 elements. It helps users learn the basics of HTML5 and apply them in their projects.

Detailed examples are provided, showing practical applications of HTML5 tags and attributes. The layout is user-friendly, allowing beginners to find information quickly. The cheat sheet is regularly updated to reflect the latest HTML5 standards and best practices.

Beginners can use the cheat sheet to learn basic HTML5 syntax and understand the structure of an HTML5 document. They can quickly look up the correct syntax for various HTML5 elements and follow the provided examples to see how HTML5 tags and attributes are used in real-world scenarios.

How Designveloper Utilizes HTML5 & Free HTML5 Resources

Designveloper makes use of the new breed of HTML, HTML5, to build dynamic, responsive and efficient web applications. We use very skilled developers to develop websites utilizing HTML5, enabling them to construct websites that not solely look good but have great user experience and are extremely functional.

Why HTML5?

HTML5 is the latest version of Hypertext Markup Language, which is already everywhere on the web. W3Techs reveals that, 94% of all websites use HTML5. This makes it a foundational tool for web development because of that compatibility and performance across devices and browser.

Our Approach

We take a systematic approach to our web development to first analyze the client woes and project requirements. HTML5 is used by our developers to create the structure of the web pages using HTML5 adding elements such as audio, video and graphics.

Conclusion

Mastering HTML5 is important for web development, and there are plenty of free HTML5 resources available for beginners. Full guides, interactive exercises, and community support will help you get started with these resources. All these tools can be used to build a strong foundation in HTML5 and help you to level up at your web development game.

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Why You Should Know About Different Types of Software Development Services

Understanding the various types of software development services is crucial for businesses aiming to stay competitive in today’s digital landscape. In this fast moving state of technology, companies have the option to use the right services matching their objectives and needs. Here are some reasons why knowing about different types of software development services is essential:

Diverse Needs

Different businesses require different things. For example, a startup may need a bespoke CRM solution to handle all aspects of customer relationships. Meanwhile, an established enterprise would demand an all encompassing ERP to optimize their overall business processes. It is worthwhile for businesses to know the type of services that match their needs.

Cost Efficiency

Knowing all the different services will help businesses make decisions about budget optimization. For instance: outsourcing software development can be cheaper when compared to hiring an inhouse team (particulary for small projects).

Innovation and Growth

Keeping up with the new software development trends and services could spur innovation, and eventually, business growth. To illustrate, AI and machine learning can be incorporated into software solutions to improve customer experience as well as operations.

Market Trends

By 2027, the global software development market is predicted to grow at a CAGR of 22.5% from 2024 to 2030. Businesses that use the right development services can uget ahead.

Productivity Boost

Having the right software development services can increase productivity greatly. One example is automating repetitive tasks using custom software solutions that allow for freed up employee hours to dedicate to more strategic activities.

Scalability

When businesses start to scale they need more software. Understanding different types of development services would help them scale their software solution to handle growth.

Risk Management

It is important for businesses to know the different software development services that will assist them in risk management. For example, selecting a reliable service provider, one with a proven track record, can mitigate the risk of project failure.

Customer Satisfaction

Software solutions that are tailored can lead to customer satisfaction because they ensure a problem free user experience. An e-commerce platform well planned will lead to higher levels of customer engagement as well as loyalty for example.

Regulatory Compliance

Different industries feature different regulatory requirements. Understanding the types of software development services can help businesses ensure their software solutions comply with industry standards and regulations.

Future-Proofing

For businesses to future proof themselves, they have to invest in the right software development services. For instance, cloud based solutions can be flexible and scalable for future growth.

By understanding the different types of software development services, businesses can make informed decisions that drive success and innovation. Stand out from the crowd and pick out the services that work best for you.

The 10 Types of Software Development Services That You Should Know

According to Wikipedia, software mainly refers to computer programs. However, this article will expand this term to mobile apps and other technologies that many software agencies now offer. Of course, different vendors will give you different options, yet here are the top six prevalent ones:

1. Custom Software Development Services

In 2024, an increasing number of organizations are seeking for custom software development services. To manage their special needs, businesses are often opting for custom solutions. In contrast to off the shelf software custom software is tailored to fit a particular business process or goal. This is accomplished by using the integrated approach and optimized performance.

Custom software development services is only continuing to grow. The need for scalable, flexible solutions that can be responsive to changing business environments drives this growth.

For instance, a logistics company might require a custom tracking system that would allow them to monitor their supply chain in real time. Even though off-the-shelf software won’t necessarily have what you’re looking for, a custom solution can be developed to fit these needs.

It also provides additional security and privacy. Custom solutions are of great use in finance and healthcare industries, which demand such a strict level of data protection. According to a Forbes report, 67% of tech leaders in 2023 planned to do more with less and custom software was an attractive solution for them.

Recommended reading: Mobile Web App Development: 2 Things You Must Consider First

2. Mobile Software Development Services

With enterprises aiming to reach out to customers through the smartphones and tablets, using Mobile Software Development Services have become highly demanded. The global mobile app market is expected to grow substantially. The increasing use of mobile devices and the necessity for businesses to keep client experiences seamless is driving this growth.

Mobile app development refer to development of applications on different platforms like iOS, Android and cross platform. Companies like us at Designveloper, or Suffescom Solutions and Foreignerds provide professional services in this field, assisting companies in creating apps that improve customer connectivity, and streamline operations.

User experience (UX) and user interface (UI) design are among the most important trends in mobile app development. App user satisfaction and retention rates are much higher with a well designed app. For instance, a top mobile app development company like Designli, places emphasis on UX/UI design in their projects.

Additionally, important aspect in mobile software development is the integration of emerging technologies like artificial intelligence (AI) machine learning (ML) and Internet of things (IoT). With these technologies developers can craft smarter, more efficient apps with the ability to create personalized experiences for users.

3. Web Development Services

Many users often think of Google or Amazon as traditional websites. However, in fact, they are differently considered by technology experts as a web portal and web app respectively instead. Accordingly, web development services can be classified into three key categories: websites, web apps, and web portals. Of which, web building services now include:

Content Management System (CMS) websites

Those websites are built on available platforms such as WordPress, Drupal, or Joomla and installed with some customized and advanced features. Many of which are used for eCommerce B2C, B2B portals, and enterprise solutions.

Websites built on specific technologies

Such as PHP, JAVA, Ruby on Rails, Laravel framework, NET framework, or MySQL (open-source database management system).

Recommended reading: 6 Key SAAS Metrics Every Tech Startup Must Know

Static or dynamic websites

The former contains HTML-coded pages with unchanged contents, while the latter allows you to update news and interact with users. However, owing to the less competitiveness of static webs, not many software developers now provide relevant services; instead, they focus more on dynamic web pages, web apps, and web portals. 

Normally there are a number of sub-services involved in web development packages: back-end, front-end, or full-stack development.

Web apps themselves are applications running on web servers and allow more user interactions. They are through shopping orders, photo and video editing, online forms, word processors, spreadsheets or file conversion. Google Doc is such a web app with which you can produce, share writings online or even exchange information.

Meanwhile, web portals are websites specifically designed to collect data, news and different sources. They are mainly typically search engines (Google or Bing), online forums, or emails. Portals will use API (Application Programming Interface) which allows communications between software to search information therein.

4. Cloud Computing

When Netflix faced serious database corruption in August of 2008, they made a decision on moving to the cloud. This is in order to operate their video streaming service and other business activities. This migration has attracted more streaming members and expanded its global infrastructure capacity. 

The story of Netflix is not new to many businesses. Traditionally, they had to spend too much money on possessing and maintaining their own infrastructure which, in turn, sometimes crashes and hardly allows you to access from other devices, let alone the case that all-important data in hardware gets lost one day. This is a scenario that no individuals or businesses want to confront. So cloud computing appears as a savior to store and manage your data on the Internet. They also allow authorized users to access such databases from any device. Cloud developers will give digital solutions integrating with cloud storage apps like AWS, Google Cloud, or Microsoft Azure.  

There are public cloud services such as One Drive or iCloud, but you can have software vendors build private ones for your enterprises. Cloud computing can fall into SaaS (Software-as-a-Service) – which is projected to remain the leading cloud model, PaaS (Platform-as-a-Service), and IaaS (Infrastructure-as-a-Service).

Recommended reading: 13 Best Mobile Application Development Platforms

5. Embedded Systems Development

When it comes to embedded systems, people often think of the Internet of Things (IoT) technology. IoT services mean bringing physical objects to life and providing them a certain level of intelligence by embedding minuscule chips with them. In the near future, projects on smart houses, automation cars, or smart healthcare systems will become more familiar to us. 

Now IoT applications are primarily given to business, manufacturing, and medicine fields, so more respective services also are offered by different outsourcing agencies. IndiaNIC, for instance, has combined IoT and other technologies (e.g. AI-ML or Big Data) for automobiles to track school buses and fleets, for retailers to manage supply chains or inventory, and for households to check water leakages or ensure home security. On a larger scale, their developers support enterprises in managing complicated business processes, saving energy costs, or better healthcare services in hospitals and clinics. 

Recommended reading: Software Development’s Future in 2024 and Beyond

6. IT Consultancy

IT consultancy is a crucial service in the software development landscape. This service revolves around offering proclamations to business on how to apply technological clout to get to their object. According to the latest report by Statista, the market for IT consultation is expected to grow at a CAGR of 4.42% to $74.89 billion by 2024. The reason for this growth is that businesses are becoming more and more dependent on technology in their practices.

Organizations use consultants to streamline their operations, improve efficiency, and security. For instance, services like Accenture’s and IBM’s IT consultancy provide everything from strategy to implementation. For businesses who want to be competitive in a very quickly changing digital world, these services are critical.

IT consultants are in demand, and high demand in cloud computing and cybersecurity and digital transformation are few such examples for these. McKinsey, in an IT consultancy report, stated that IT consultancy industry will continue to grow as the businesses need to maneuver the economic challenges and technology.

7. DevOps Services

DevOps services have become a cornerstone of modern software development. These services target extending the collaboration between Development and Operations teams to improve the software delivery process.

A key trend in DevOps is the DevOps-as-a-Service (DaaS), which means DevOps service is offered to other businesses that do not want DevOps in house. Through this approach of development businesses can streamline their development process and reduce their costs. For instance, Atlassian and Microsoft are among the many companies who supply an entire DevOps platform that combines tools and followings to facilitate continuous integration (CI) and continuous delivery (CD).

Another important aspect of DevOps services is through availing of advanced security measures. For example, GitHub Advanced Security for Azure DevOps extends some of these capabilities including those of dependency scanning and secret detection to secure the development pipeline. This is particularly important for organizations that are concerned about the security of their software and want to protect against possible threats and vulnerabilities.

Moreover, DevOps services place emphasis on work to collaboration and communication between teams. Fortunately, platforms like GitLab, Bitbucket, etc. provide those tools with the help of code management, version control, and team collaboration. These are the platforms to work together more efficiently as a team and, more importantly, that everyone is on the same page through the development process.

8. Machine Learning & AI Development

Machine learning and AI development are influencing industries by enabling them to analyze huge amount of data and automate their complex tasks. By 2024, the AI market is expected to scale to $214 billion and one of the main tax revenue will be done on machine learning technologies. The growth has been led by the growing use of AI in industries such as healthcare, finance and manufacturing.

Generative AI investment became one of the standout trends of the year. Startups have raised over $25.2 billion in funding for generative AI products so far this year, a near octupling from 2022 funding levels. OpenAI and Google have poured in a tremendous amount of money to create powerful AI models for the world to use. To provide an example, training OpenAI’s GPT-4 is anticipated to have cost approximately $78 million in compute costs.

The adoption of AI is also on the rise, as 65 per cent of organizations are using generative AI regularly in at least one business function. This is a huge step up from past years and demonstrates that businesses are gaining confidence in the value that AI can have on business. AI is being used by companies to boost productivity, reduce cost and enhance customer experience.

Additionally, the AI Index Report 2024 finds that the United States is still the top source of top AI models, producing 61 of the 62 noted models from U.S. based institutions in 2023. This points to the country’s domination of the AI research and development.

9. Game Development

As a dynamic and fast growing field the software development industry, game development is a booming industry, and is definitely a place that gives you a chance to be creative on a daily basis. In 2024 the value for the global video game market attained $282.3 billion and the mobile gaming has registered a great share to this amount. Technological changes and shifts in consumer preferences keep the industry moving on.

Artificial intelligence (AI) is becoming one of the key trends in game development. AI is changing the way games are developed through smaller studios and indie developers being able to make massive open world games with gorgeous graphics. For example, for instance, we have something like MidJourney, tools that use developers to manufacture game worlds with a procedure, can assist them in creating more original ideas and need less time.

Cross platform play is another big trend. The ability to switch quickly between different devices and environments has become possible with the launch of devices such as Apple Vision Pro. The focus on a whole game approach to development is expected to continue, as more developers design games for multiple platforms that use immersive environments.

The challenges in the game development industry also exist including ethical (in generative AI and more) and layoff worries. The GDC 2024 State of the Game Industry Report said 4 in every 5 developers have ethical concerns of generative AI, while 56 percent of developers are worried about future layoffs. However, the industry perceives the future with optimism regarding its growth potential.

10. Blockchain Development

The development of blockchains has since been growing rapidly and new applications and innovations are always there in 2024. Cryptocurrencies like Bitcoin and Ethereum, backbones of this technology, are now being adopted by industries such as finance, healthcare, and supply chain management.

According to projections, the global population of software developers is estimated to rise to 28.7 million by the end of 2024, and blockchain development is expected to lead the pack of growth dictates. The blockchain market is expected to grow at a CAGR of 25.54% over the forecast period from 2020 to 2027.

As per the K&B report, blockchain technology has its advantages including decentralization, security and reduced costs. But it is also plagued by complexity and lack of scalability.

IBM and Microsoft have taken it upon themselves to drive blockchain development and provide platforms like Hyperledger Fabric and Azure Blockchain Service. They offer the developer the tools to securely and scalably develop their blockchain application.

Designveloper’s Software Development Services

At Designveloper, we help your business keep up with technology shifts. Here are some of the most popular types of software development services in 2024:

Web Application Development

We specialize in creating dynamic and scalable web apps using frameworks like MERN stack, Next.js, Nest.js and more. We take care of designing and maintaining your product.

Mobile App Development

Having extensive experience in iOS, Android, React Native and Flutter, we build mobile apps that perform well and fulfills your distinct requirements. Hybrid app development is where our expertise lies, which lets us combine web technologies with native functionality to deliver an optimized Cross-platform experience across Android and iOS.

Custom Software Development

Our business solutions are customized to your specific business requirements. We provide full-cycle support from market research until the development and support of the service or application following launch.

UX/UI Design

Our skilled designers create intuitive and visually appealing user interfaces that enhance user engagement and satisfaction.

Cyber Security Services

We are a provider of proactive digital defense strategies and penetration testing tailored towards protecting your business against the threat of potential loss.

AI Development

We believe in the power of AI and offer services around its development that leverage cutting edge technologies to build innovative solutions that can achieve your business objectives.

SaaS Development

We build scalable Software as a Service (SaaS) applications to automate business procedures for faster turnaround time and higher efficiency.

Third-Party Verification Projects

We guarantee the best quality standards for your third party verification projects and making sure you get world class service.

Web Application Support and Maintenance

We provide your web applications with ongoing support and maintenance so they remain efficient and up to date.

VoIP Application Development

Our products include Voice over Internet Protocol (VoIP) applications that improve communication and collaboration inside your company.

Since 2013, Designveloper has been a leading software development company in Vietnam with a strong track record of serving top tier services. Working together with professional developers, designers and experts, our team has it all covered to perform projects in ultimate way.

Conclusion

Understanding the various types of software development services available in 2024 can significantly impact your business strategy. Through these services, businesses can maintain a competitive advantage, make it easier for themselves to innovate and meet up with the growing needs of the market. Custom software development, mobile application development or AI implementation, all these services are of great value during the digital transformation phase. The investment in these services not only help improve our operational efficiency, but also helps fuel the growth and improve on customer satisfaction.

The post 10 Popular Types of Software Development Services in 2024 appeared first on Designveloper.

What Are Agile Methodologies?

Before jumping into how Agile can reshape software development education, let’s take a quick look at what Agile methodologies are all about. Agile isn’t just a buzzword—it’s a mindset. It’s a way of thinking about how to approach work in a more flexible, iterative, and team-oriented manner.

Agile is based on the Agile Manifesto, a set of principles emphasizing collaboration, customer feedback, and iterative development over rigid processes and heavy documentation. Popular Agile frameworks include Scrum, Kanban, and Extreme Programming (XP), each with its unique approach but a shared goal: delivering value quickly and efficiently.

Why does this matter in education? Because traditional software development education tends to focus on theoretical concepts and rigid project workflows that don’t reflect modern industry practices. By incorporating Agile into the classroom, we can teach students not just to code, but to collaborate, adapt, and solve real-world problems.

Why Agile Belongs in the Classroom

When you think about it, education and Agile have a lot in common. Both focus on continuous improvement, collaboration, and feedback. So why hasn’t Agile become the norm in software development education?

One of the biggest criticisms of traditional software education is that it often fails to prepare students for the fast-paced, team-oriented nature of the industry. Sure, students learn programming languages, algorithms, and software architecture, but do they learn how to work in cross-functional teams? Do they know how to respond when requirements change mid-project?

Agile methodologies address this gap. By simulating real-world development environments, students learn how to:

• Communicate effectively within a team.
• Prioritize tasks and manage workloads.
• Respond to feedback and adapt their solutions.

This hands-on experience bridges the gap between academic learning and industry expectations, making students more job-ready from day one.

Agile promotes iterative learning, where failure isn’t the end—it’s a stepping stone. Isn’t that what education is supposed to do? When students work in Agile teams, they’re encouraged to experiment, take risks, and learn from their mistakes. This fosters a growth mindset, helping students become resilient problem-solvers who are unafraid of challenges.

How Agile Translates to Other Fields: The Example of Genetic Engineering

Agile’s influence isn’t limited to software development—it’s a framework that has the potential to transform education in other dynamic fields, such as genetic engineering. Just like in software projects, genetic engineering requires an iterative and collaborative approach to solve complex problems. For example, when working on CRISPR-based gene editing or developing synthetic biology solutions, teams often need to experiment, analyze results, and refine their techniques repeatedly.

By adopting Agile in genetic engineering education, students can mimic these real-world workflows. Imagine students working in interdisciplinary teams—combining biology, data science, and bioinformatics—on semester-long projects.

Each sprint could focus on a specific milestone, such as testing genetic modifications or student exploration basics of genetic using genetic engineering worksheet answer key, with regular standups to share progress and retrospectives to refine their methods. This mirrors the collaborative, iterative processes found in modern labs, helping students build adaptability, teamwork, and problem-solving skills.

The same principles that make Agile indispensable in software development—flexibility, collaboration, and continuous improvement—prepare students in genetic engineering (and beyond) for the fast-paced, innovation-driven challenges of their industries.

How to Incorporate Agile into Software Development Education

So, how can educators bring Agile into their classrooms? It’s not as simple as introducing a few Scrum terms or holding a quick retrospective. Incorporating Agile requires a shift in how courses are structured and delivered. Here are some practical steps to make it happen:

1. Start with the Basics of Agile

Before students can practice Agile, they need to understand it. Introduce them to the core principles of the Agile Manifesto, and discuss the differences between Agile and traditional (waterfall) approaches. Use real-world examples to show how Agile helps teams deliver software more effectively.

It’s also a good idea to cover the various frameworks (Scrum, Kanban, XP) and explain when and why each is used. For instance, Scrum’s time-boxed sprints might make more sense for one project, while Kanban’s continuous flow could be better for another.

2. Create Agile-Inspired Course Structures

Why not structure courses themselves around Agile principles? Instead of assigning a single large project with a deadline at the end of the semester, break it into smaller, iterative deliverables. Set up “sprints” where students work on specific features, and hold regular reviews where they present their progress and get feedback.

This approach not only makes the coursework more manageable but also mirrors real-world Agile workflows. It’s a win-win!

3. Foster Collaboration with Team Projects

Agile thrives on collaboration, so team-based projects are a must. Assign students to cross-functional teams, with each member taking on roles similar to those in an Agile team (e.g., Scrum Master, Product Owner, Developer). Encourage students to use Agile tools like Jira or Trello to manage their tasks and backlogs.

To make the experience even more authentic, invite industry professionals to serve as “clients” who provide requirements and feedback throughout the project. This teaches students how to interact with stakeholders—a crucial skill in the industry.

4. Integrate Daily Standups and Retrospectives

Daily standups and retrospectives are two cornerstone practices of Agile teams. These can be easily adapted to the classroom:

• Daily Standups: At the start of each class or lab session, have teams share what they’ve accomplished, what they’re working on, and any obstacles they’re facing.
• Retrospectives: After each sprint or project milestone, hold a retrospective where teams reflect on what went well, what didn’t, and how they can improve moving forward.

These activities encourage communication, self-reflection, and continuous improvement.

5. Use Real-World Tools

Incorporating Agile into education isn’t just about teaching concepts—it’s about giving students practical experience with the tools and technologies they’ll use in the industry. Introduce platforms like Jira, Trello, or Asana for task management, and Git for version control.

By using these tools in an educational setting, students gain valuable hands-on experience that sets them apart in the job market.

Challenges in Adopting Agile in Education

Of course, integrating Agile into software development education isn’t without its challenges. For one, many educators may be unfamiliar with Agile themselves. Training instructors to understand and effectively teach Agile methodologies is a critical first step.

There’s also the challenge of assessment. Traditional grading methods don’t always align well with Agile principles, which emphasize teamwork and iterative progress. How do you grade individual contributions in a team project? How do you evaluate the success of a project that’s still in progress?

Lastly, Agile’s emphasis on flexibility and adaptability can be difficult to implement in rigid academic schedules. But with creativity and a willingness to experiment, these challenges can be overcome.

Imagine a world where every software development graduate not only knows how to write code but also how to work effectively in a team, adapt to change, and deliver value to stakeholders. That’s the promise of Agile education.

By incorporating Agile methodologies into software development education, we can better prepare students for the realities of the tech industry. They’ll graduate not just as coders, but as problem-solvers, collaborators, and innovators—ready to tackle the challenges of tomorrow.

Conclusion

So, why wait? Let’s start building the next generation of Agile-ready developers today.

Agile methodologies have become the gold standard in the software industry, so it only makes sense to bring them into software development education. By teaching students the principles of Agile, creating Agile-inspired coursework, and fostering collaboration through team projects, educators can bridge the gap between academia and industry.

Sure, there are challenges to adopting Agile in education, but the benefits far outweigh the hurdles. Agile doesn’t just teach students how to build software—it teaches them how to think, adapt, and thrive in an ever-changing world. And isn’t that what education is all about?

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What are Large Language Models?

These computational models create text-based content. You can use them as a base for chatbots, translation software, and other content creation tasks. These models train on thousands of pages online, so they contain vast amounts of data.

If you’re developing an application, you can use LLMs as a foundation. You’ll simply have to feed in training data so it’s fit for purpose. 

Think of it kind of like help desk outsourcing. You hire a team to get the professional customer support skills you need. In this case, however, the LLMs are giving your application the expertise it needs to start off. 

What are the Costs of Fine-Tuning LLMs

You’ll save money with this, but tweaking an LLM is still costly. You’ll need to consider: 

• Computational Power: You’ll need high-performance hardware like GPUs or TPUs. These are not only expensive to buy but also to operate. You’ll also pay a fair amount for cloud-based alternatives like AWS or Azure.
• Data Preparation: You need relevant, high-quality data to train your model on. You’ll have to spend time collecting, cleaning, and annotating it. This is expensive and requires specialist knowledge. 
• Storage and Bandwidth: You’ll need a lot of storage and bandwidth to handle large datasets and model files. 
• Expertise: You’ll need skilled machine learning engineers and data scientists, who command high salaries.  
• Energy Consumption: The computational processes use a lot of power, which comes at a high environmental and financial cost.  

Before you run off screaming, it’s not as much of a horror story as it seems at first. You can reduce these expenses if you plan carefully. 

Strategies to Reduce Fine-Tuning Costs

Now, let’s look how you can make the process more cost-effective without compromising quality.

1. Leverage Smaller, Efficient Models

LLMs are massive and can contain billions of parameters. Do you need that much information? Probably not, which is why you can save money by using a smaller, more efficient LLM. These use fewer computational resources and save you time. 

2. Use Parameter-Efficient Fine-Tuning

With this technique you work with a subset of the LLM’s parameters. You choose those that are most relevant to you and leave the rest alone. Therefore, you won’t need as much storage or computing power.

Some examples are: 

• LoRA (Low-Rank Adaption): With this approach you update a small set of parameters, making fine-tuning faster. 
• Adapters: Here you insert a lightweight module that will train only these aspects rather than the entire network. 

3. Adopt Few-Shot or Zero-Shot Learning

With this technique, you scale down the training information.

With zero-shot learning, you rely on the model’s pre-trained knowledge. The downside of this approach is that the LLM may learn from variable datasets across the internet. Therefore, it may not always come up with the right solution. It’s not ideal for a company creating a chatbot to help customer support. 

Few-shot learning is also more cost-effective because you use less training data. The key to getting this right is in choosing the best-quality examples you can find. The potential downside is that you might not account for edge cases, which can leave your app short 

Planning for this can mean including some outliers so your model has a balanced education. 

4. Optimize Training Data

If you’re studying medicine, do you learn from Dr Google or textbooks and peer-reviewed studies? Naturally, you choose reputable information sources and ignore much of what the internet says.

When you’re tweaking your LLM, you need high-quality data. This is more valuable than swathes of irrelevant rubbish. Therefore, spending time curating your data can reduce your costs significantly. 

Here’s how to get a better-quality dataset: 

• Remove Duplication: Start by getting rid of redundant entries. 
• Use Domain-Specific Data: You should focus on the datasets that are most relevant to your needs. 
• Downsample Wisely: You want to reduce the size of your dataset without compromising on key features or examples.  

It takes a little more work upfront, but you’ll reap the rewards in reduced computing resources. 

5. Leverage Cloud-Based Solutions Wisely

You can use platforms like Google Cloud, AWS, and Azure for scalable computing resources. These are pricey, but these tips can save you money:

• Use Spot Instances: Fine-tuning isn’t usually urgent, so you can save money by working when the network is less busy. The downside is that the work will take longer overall. 
• Use Free Tiers: Do use the promotional credits cloud providers give you to entice you to join up, 
• Go Regional: Find a cloud company with servers in lower-cost countries.
• Use Auto-Scaling: With this option, you don’t pay for resources you don’t use. 

Should You Think About an In-House Solution?

If you’re going to run this type of project on an on-going basis, it may be more cost-effective to buy the hardware. 

6. Use Pre-Fine-Tuned Models

You’ll still need to train your LLM to a certain extent, but not nearly as much as you would from scratch. You can easily find pre-trained models for things like: 

• Sentiment analysis
• Summarization
• Medical diagnostics

These models don’t need many adjustments, which saves you time and money. 

7. Optimize Computing Resources

You can use the following techniques:

• Gradient Checkpointing: You save memory by only storing selected intermediate outputs. 
• Mixed Precision Training: You can use lower-precision calculations to reduce memory and power consumption without sacrificing accuracy.  
• Batch Size Tuning: You can test different batch sizes to find the most cost-effective option.  

Balancing Costs and Performance

Reducing costs doesn’t mean sacrificing performance. By carefully selecting tools, techniques, and workflows, you can achieve high-quality results without overspending. Start with the strategies that make the biggest impact—like using smaller models or parameter-efficient fine-tuning—and scale your approach as needed.  

Fine-tuning Large Language Models doesn’t have to break the bank. With smart planning and the right resources, you can unlock the power of AI while staying on budget.

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To get started, you’ll need a basic understanding of JavaScript and jQuery.

What is jQuery?

jQuery is a fast, small, and feature-rich JavaScript library. It makes HTML document manipulation, event handling, animation, and Ajax interactions easier. With its easy-to-use API, jQuery works across multiple browsers.

Statistics show that jQuery is the most popular JavaScript library, used by over 150 million websites. According to a report by W3Techs, jQuery is used by 93.8% of all websites whose JavaScript library is known. Its importance can’t be understated as it’s widely adopted in web development.

Key features of jQuery include:

• HTML/DOM manipulation: Easily select and manipulate HTML elements.
• CSS manipulation: Change the style of elements dynamically.
• Event handling: Make replying to user actions easier.
• Animations: Make beautiful animations with minimal code.
• AJAX utilities: Simplify asynchronous web requests.

Companies like Google, Microsoft, and IBM use jQuery extensively, showcasing its reliability and versatility.

The importance of a creating a basic plugin with jQuery

Creating a basic plugin with jQuery is crucial for several reasons. First, it allows developers to extend jQuery’s functionality without altering its core code. You can add custom features which fulfill the requirements you have for your project. Second, your code is more modular and thus, reusable. Then instead of rewriting all the same code for different projects you can use the plugin.

Moreover, jQuery plugins are widely used and supported by a large community. According to a report by W3Techs, jQuery is used by 93.7% of all websites whose JavaScript library is known. This widespread adoption means that creating a jQuery plugin can enhance compatibility and interoperability with other projects and libraries.

Alongside, plugins enable you to complete complex tasks easily. For example, animations, AJAX calls and DOM manipulation can be handled by a plugin with just a few lines of code. Aside from saving time, it makes the code easy to maintain and debug.

Lastly, making plugin improves performance by optimizing specific function. An example is designing a plugin to load on need only, thus decreasing the load time of a webpage during initial load time.

In summary, creating a basic plugin with jQuery is essential for extending functionality, improving code reusability, ensuring compatibility, simplifying tasks, and enhancing performance.

The 7 Steps to Create a Basic Plugin with jQuery

1. How jQuery works: jQuery Object Methods

Before starting to write your own plugins, you must pretty understand how jQuery works first. Take a look at this code:

This is a basic jQuery code, but do you know what’s happening behind the scenes? When you use the $ function to select elements, it gives back a jQuery object which contains all of the methods you’ve been using (.css(), .click(), etc.) and every element that fits your selector. These methods come from the $.fn object.

2. Chaining

To help your plugin survive in the real world, there are a couple of things you need to do for it. When you link 4 or 5 actions onto one selector, you’re coming to the chaining feature of jQuery. This feature can work by having all jQuery object methods return the original jQuery object again (exceptions: .width() only returns the width of the selected element, not chainable). Making your plugin method chainable just takes one line of code:

3. Protecting the $ Alias and Adding Scope

Since the $ variable is very popular among JavaScript libraries, a conflict in the use of $ may arise when more than one jQuery library is required. The solution to this problem is you must place the code inside the expression of the immediately invoked function. This is carried out by the passing of jQuery and then naming its parameter $.

4. Adding Private Methods and Variables

After the alias ($) matter could resolve. Just move on to the next step: adding private methods or variables. In JavaScript (this case is jQuery), functions contain several variables and other functions that can be mainly accessed from inside the function, thus making the elements private. For the best way to access private variables and methods, you must use Immediately invoked function expressions.

Remember adding a private variable and enabling its use is only possible by using the Immediately Invoked Function:

These private methods can solely be called from within the scope of the function and only other private methods or public methods have the authority to call them. This is also for accessing the private variables.

5. Adding Public Methods

Public methods can be accomplished by nearly the same process as what you just did with private methods. There’s just one difference between these 2, the execution of the method. The method becomes public when it is supplied with a ‘this’ operator. The purpose of adding such public methods could be either to perform a function or to access the public variables and methods from outside the scope of the function.

6. Accepting Options for Plugin Customization

In some cases, your plugins turn more complex as you continue to add to them. Hence, it is a smart idea to make your plugin be capable of accepting some options and making them customizable. The easiest way to do this, especially when there are a lot of options, is with an object literal.

7. Putting it All Together

Combining all the techniques we’ve discussed, the result is the following small plugin as below:

As you can see, the syntax ‘each()’ can loop through a collection of elements. Also, the return value for this method is the ‘this.append()’ which accepts the callback. We will see what element is appended to in the collection whereupon it returns.

Conclusion

Creating a basic plugin with jQuery is a valuable skill for any developer. By following the steps in this article you can improve your web development projects and workflow with jQuery. At Designveloper, we know firsthand how important jQuery is; we have extensive experience in jQuery development, having successfully completed numerous projects for clients worldwide. Our team of experienced developers have a good experience in creating custom plugins based on your business requirements.

It’s very important to keep on top of the latest trends and statistics in technology and not just to stay ahead of the game, but to prepare for what’s coming next. According to the latest jQuery Market Report, jQuery remains a popular choice among developers, with a significant market share. This underscores the importance of mastering jQuery to remain competitive in the industry.

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This article from Designveloper highlights 15 essential computer programming languages you should learn right now. This guide is for both beginners who are ready to start exploring the world of tech and experienced developers who are interested in learning new things so they can stay ahead. It is time to find out what programming languages will determine the future of technology.

An Overview of the Most Popular Programming Languages to Learn Right Now

The world of computer programming languages is constantly evolving, and staying updated with the most popular ones can give you a competitive edge. In November 2024, Python maintains its glistening spot at the top of the TIOBE Programming Community Index for another month, with an index (or market) share of 22.85% — still the undisputed king of programming communities. It has a vast library which makes it one’s most preferred for web development, data analysis and machine learning.

Finishing in second place once again, Java continues to be a strong contender because of it’s portability and widespread use in enterprise applications. Typescript has been the shift towards the static type super set for Javascript, especially for web development, as it offers the static typing, along side some other features like support , writing manage, and improves code quality.

Memory safe and performant Rust has surged to 14th, a sign of rising interest in systems programming security. But the reasons Go got as high as number seven (its highest ever ranking) are due to its being simple and efficient in deployment — not to be mixed up with the reason it’s Essential.

This shows that the industry is going after performance, security, and ease of use. As companies start to take up AI and machine learning, languages as Python and Rust will probably be in increase for demand. Watching these trends keeps you better informed on what to learn and those to achieve mastery on.

In the next section, we will walk you the strengths and features of each computer programming language.

Resources for learning

Learning computer programming languages has never been easier, thanks to a wealth of online resources. Here are some top picks to get you started:

• Codecademy: Provides interactive coding sessions in languages like Python, Java, JavaScript, C++, SQL, etc. Whether you are a beginner or experienced programmer, this one is perfect.
• freeCodeCamp: Features free programming and computer science courses including popular languages (such as Python and JavaScript).
• Coursera: Offers features courses from the top universities like Harvard and MIT in languages like Python, Java, C++, etc.
• Udemy: One marketplace with thousands of other courses about programming languages from people in the industry.
• Pluralsight: Includes courses that focus on skill development in languages that are on the top of the popularity ladder — such as JavaScript, Python, and C++.

From free to paid, there are a wide variety of these platforms, so whatever the budget and learning style, there is room for you. Happy coding!

Top 15 Best Computer Programming Languages

The world of computer programming languages is constantly evolving, with new languages emerging and existing ones gaining popularity. The latest stats from Statista revealed that over 62 percent of all developers worldwide use JavaScript, while around 53 percent use HTML/CSS. SQL, Python and TypeScript, completing the overall top five languages. It shows that one needs to stay current with temporal trends in programming languages so as not to be left behind in the race.

1. Python

In recent years, Python has become one of the most popular programming languages. As highlighted in a Statista report for 2024, Python is one of the five most commonly used programming languages globally; other languages in use are JavaScript, HTML / CSS, SQL and TypeScript. It’s becoming highly popular not only because of its simplicity but also versatility which is the reason it’s suitable for beginner developers as well as experienced ones.

Python is easy to use and read and therefore very popular in web development, data science, artificial intelligence, automation, etc. For example, Python libraries such as Pandas and NumPy are commonly used by data scientists to work with and analyze large datasets in an efficient manner. Furthermore, Python has vast library and frameworks like Django for web development and TensorFlow for machine learning which offer excellent tools for crafting complex applications.

In addition, the language’s open-source nature and a strong community support has also played into its widespread adoption. Since the coding world is mostly driven by the community, Python’s community always keeps developing new and existing libraries and tools in Python and they constantly keep updating in order to give developers what’s latest and what works best.

To sum up, Python excels in all the areas mentioned earlier: simplicity, versatility and strong community support. Whether you’re new to the game or working on top of a current skill stash, Python provides a solid base to build upon and plenty of ways to grow and innovate.

2. C++

C++ remains a powerhouse in the world of computer programming languages. Developed by Bjarne Stroustrup in the 1980s, it has grown to be the backbone in systems programming, game development and high performance applications. C++, as per the TIOBE Index, is one of the top programming languages which has been so far and has stayed this way.

One of the major reasons of C++ relevance is the efficient performance offered. C++ is popular for programs written in the language due its speed and low level memory manipulation capabilities. As an example, many game engines like Unreal Engine are built in C++ because of its capability to efficiently run complex computations and graphics rendering.

Plus, C++ has so many rich libraries & frameworks that can be used to do so much. Standard Template Library (STL) consists of a set of general purpose algorithms and data structures that make the development process easier and code reusable. With all this,+C++ is a versatile language that can be used for developing anything from operating systems to high frequency trading systems.

C++ has a steep learning curve and it is quite a powerful yet flexible language. But, there are tools like Codecademy who provide full courses to teach the basics & beyond to those who are learning C++. The C++ community is also very active and lots of forums and online groups exist to support, help, and share best practices.

All in all, C++ is unarguably a robust and versatile programming language that is still relevant in many fields. It is a valuable skill in the programming world which has good performance efficiency, massive libraries, strong community support.

3. Java

In 2024, Java is still one of the most popular programming languages. In fact, according to the 2024 Stack Overflow Developer Survey, Java is second only to JavaScript and Python as being used by 37% of developers. And Java is popular with huge enterprise envolved and AI/ML applications because of the versatility and robustness.

According to the 2024 State of the Java Ecosystem Report by New Relic, Java 21 released in September 2023 has spread after being picked up quickly. Virtual threads and upgraded libraries were brought to this version, making it more stable and performing higher than past versions. It also reports that 35% of applications now rely on Java 17 — a rise from the previous year.

Java is very popular in the industry that’s why recruiters demand job seekers who are familiar with it. Recruiters expect Java skills, and for good reason—around 40% of all recruiters are looking for them. There are extensive libraries and frameworks like Spring and Hibernate which are available for Java, making the development of large and complex applications a breeze.

In summary, Java’s enduring popularity, backed by its strong ecosystem and continuous improvements, makes it a top choice for developers and a valuable skill for anyone pursuing a career in computer programming languages.

4. C

C remains a cornerstone in the world of computer programming languages. A rich influence of its own known back to the 1970s doesn’t go unnoticed. Even though newer languages are coming into existence, C is still widely used, especially in system programming, embedded systems and applications that demand high performance. The IEEE Spectrum’s 2024 report expects C to be among the more popular languages, but it has lost somewhat of its popularity over previous years.

C’s efficiency and control over system resources is one of the reasons of its enduring popularity. In addition to these, the system provides full access to the hardware, essential to the development of operating systems and firmware. But, language complexity and the suspicion of security vulnerabilities have caused a surge of interest in safer alternative like Rust.

The 2024 Stack Overflow Developer Survey declares that even though C is still used widely, developers are growing tired of it and it’s being supplemented by newer languages with better memory safety and a wider array of features. The impetus for this shift is for more secure and maintainable code writing in the complex software environment of today.

Finally, we conclude that C’s legacy in computer programming is assured; the landscape is changing, however. The pros and cons of newer, safer languages versus C’s performance are tough choices that developers must make. This continues to be an important decision for developers crafting robust and efficient systems in the industry as it continues to develop.

5. C#

Microsoft developed C#, now a well-known, powerful programming language. It is a member of the .NET framework and has been utilized for development of different sorts of applications, for example, web based, portable, work area, and gaming applications. According to the TIOBE Index report in November 2024, C# stands at the fifth spot in most popular programming languages and is rated at 4.98 out of 10. C# is down slightly from previous years, but it’s still one of the top choices for many developers.

The ease of use and readability is also one of the reason of C# being so popular. The language is meant to be very simple to learn and is powerful enough for novice programmers while still being powerful enough for expert programmers. Another thing that C# is also known for is its strong community support, with plenty of resources, tutorials and forums that developers can take advantage of when solving problems and improving their skills.

Hundreds of thousands of companies worldwide use C# to build their software, for all types of industries from media, finance, healthcare or gaming. For example, Unity Technologies popular games are based on C#. Additionally, the language is relatively flexible to work with for large scale projects with its ability to integrate with other .NET languages such as VB.NET and F#.

6. JavaScript

JavaScript has long solidifyed itself as one of the best languages in the world. The 2024 Stack Overflow Developer Survey showed how 62.3% used JavaScript in the last year. Used for front end and back end development due to the fully developed Enviornment like Node.js, this is a very versatile language.

JavaScript enjoys great popularity thanks to its use in numerous platforms and devices. In September 2024, only 1.1% of sites aren’t using JavaScript as a client-side programming language. JavaScript is indispensable to web development, and high adoption rate is because it can enable to create interactive and dynamic web pages.

JavaScript has over 11 mln users in the global community of JavaScript developers and 73% of front end developers use JavaScript as the main programming language. This large community carries plenty of resources, libraries and frameworks to be used by developers to build highly sophisticated applications.

But JavaScript’s reach is not limited to web development. It is also used in mobile app development, game development and even the data analysis. Once you’ve got the basics — and the syntax is pretty easy — you find it’s so flexible and the community updates on a continuous basis, making it a skill that can never be left behind for developers.

7. Go

Golang, better known as Go, has gone on to gain a lot of popularity. Go climbed to its highest ever position on TIOBE Index in November 2024. Go has been in top 10 for some time and this marks a significant milestone for the programming language. It has also attracted a growing number of developers thanks to language’s simplicity and efficiency.

Go’s performance is one of its main drivers of the popularity. speed & easiness to deploy go programs. Go is thus very well suited for cloud and network services where performance and scalability are the key requirements. Go has been used by the likes of Google, PayPal and American Express who have successfully built and scaled their services with Go.

Something else great about Go is its substantial standard library together with support for many IDEs, which makes it a proper choice for web development. Thanks to Go’s built in concurrency features, developers can write efficient and scalable web applications. As an example, Go is used by Cloudflare to process high latency http connections and its entire DNS infrastructure.

Also, go has been a favorite among developers due to its simplicity and readability. It is easy to learn the syntax of the language and with an automatic formatter and doc generator you can keep your code clean and… As a result, it has been applied widely within development operations and site reliability engineering.

To sum up, with performance, simplicity but also strong community support, Go is a clear winner for many developers and companies. As it continues to climb the popularity charts, it is likely to become even more prevalent in the world of computer programming languages.

8. Fortran

Fortran — or Formula Translation — is a survivor. IBM started the development of it in the 1950s to make programming more accessible to scientists and engineers. Today, such Fortran is a powerhouse in scientific computing and high performance computing (HPC).

Fortran’s long standing popularity owes itself to its efficiency in numerical computations. It is extensively used in the weather prediction, computational fluid dynamics and computational chemistry fields. Over the years, the language has evolved greatly and the latest standard, Fortran 2023, has added object-oriented programming and parallel computing features, among others.

Yet Fortran remains relevant. The TIOBE Index ranks Fortran among the top ten programming languages in use today in critical applications. Reports from IEEE as well as other organizations such as such as discuss Fortran include its wide usage in scientific libraries and numerical software.

One of the great strengths of Fortran is its ability to be run on various systems as long as there is a Fortran compiler. This is critical if your researcher or engineer needs to trust the tools to be doing complex calculations. The language has been getting recognition for both its robustness and performance in benchmarks concerning the world’s fastest supercomputers.

In a nutshell, Fortran represents living proof that well designed programming languages have a staying power indeed. Its continued use in scientific and engineering domains underscores its importance in the world of computer programming languages.

9. Visual Basic

As of now, Microsoft Visual Basic still remains popular with beginners and professionals. In November 2024, the TIOBE Index ranks Visual Basic 8th with a rating of 1.95%, down by 0.15% from last year. However, it is still very common to use and is used in many application especially in small and medium sized enterprises for rapid prototyping and ease of use.

That being said, Visual Basic is one of Microsoft’s core products, as it integrates with Microsoft’s development tools, such as Visual Studio. Thus, it allows developers to build Windows Forms applications and other .NET based project much handier. Furthermore, Visual Basic also has plain syntax that makes it easier for new programmers to learn programming basics.

Reporting can be done by creating reports as well using tools such as Crystal Reports and ActiveReports. These tools provide developers with an interface through which they can design and generate detailed reports from data maintained in the databases, and make for a good tool in the business applications.

Although old, Visual Basic still has value as programmers find it easy to use and there is a community that supports it. Regardless if you are just getting started or simply looking to simplify your development process, using Visual Basic is worth it.

10. SQL

Structured Query Language, or SQL, is a powerful tool for creating and manipulating databases. It is widely applicable in data science, business intelligence as well as in web development. SQL is among the top 10 programming languages that are used in various parts of the world and among the highest, and it goes on to rank 10th in the world according to the TIOBE index ranked in November 2024. However, the reason for popularity is dependent on this tool’s versatility and efficiency for big datasets.

SQL is one of the key strengths because of its power to do complex queries and data analysis. For instance, businesses use SQL to create reports to help in decision making processes. Functions like SELECT, INSERT, UPDATE and DELETE are executed by SQL to retrieve, add, modify or delete data from databases.

Furthermore, data scientists and analysts need to know SQL. This gives them the ability to pull out important information from raw data which is why it is a handy skill to have in the job market. According to a DataCamp report, SQL is among the top programming languages for data scientists in 2024.

SQL seems to be an easy language to learn, one more than anything practical. There are a lot of tutorials and exercise online resources such as W3Schools that can help beginners get started with SQL. Its widely accepted due to its continued relevance in the tech industry and wide adoption is because of this accessibility.

All in all, SQL is still a critical tool for any database and data analysis professional. The robustness and the fact that it’s easy to use makes it a key option for both developers and analysts.

11. Delphi/Object Pascal

For RAD programmers, Delphi/Object Pascal still has a real punch. Originally developed by Borland but latterly maintained by Embarcadero Technologies, Delphi was and still may be coded with Object Pascal language and is well known for its visual component based software development.

Delphi is one of the rare languages that allows you to create rich and responsive user interfaces from desktop applications. As a result of this, it is a well chosen compiler for developing Windows desktop applications, database applications and enterprise level software. Companies such as those in finance, healthcare, or manufacturing, for example — all use Delphi to create a customized software solution for their businesses.

Even though web development and mobile development are increasingly prevalent, Delphi has managed to stay relevant with a passionate community. The language’s popularity has regained its lustre, with its upgrades to the fourth place in the TIOBE index ranking in 2024. In part thanks to the Delphi community, which has worked and created open source libraries for the language.

It nicely fits for client–server applications due to the fact that Delphi provides strong support for database connectivity and multi–tier architecture. However, its ease of use and high powered functionality also makes it an incredibly useful tool for scientific and engineering software, medical applications, and financial tools.

To summarize, even though Delphi/Object Pascal isn’t as popular for programming as some other newer languages, it’s a strong and flexible development option for creating desktop and enterprise applications. Its dedicated community and ongoing improvements ensure that it continues to be a valuable asset in the world of computer programming languages.

12. PHP

Web development with PHP continues to be a popular choice for developers. PHP accounts for 75.5% of all websites whose server side programming language is known that are not individuals as of November 2024. PHP has a high usage rate because it’s easy to use and flexible making it a go to language for many web developers.

One of the main reasons why PHP is so popular is that it works well with all web servers and with multiple databases. It (PHP) is used in server side scripting for developing websites such as Facebook, Wikipedia, and WordPress. It’s an indication of PHP’s reliability and scalability.

In the same spirit, the most recent versions of PHP, like PHP 7 and PHP 8, bring performance improvements and new features as well. W3Techs reports that 49.3% of the web runs PHP 7 and 37.7% runs PHP 8. However, better memory management and faster execution times are critical for today’s web applications, so these versions also win.

While PHP has advantages, it also has its own challenges, including security vulnerabilities and needing frequent updates in order to keep up with modern web standards. But these problems are still being addressed by the PHP community through updates and improvements on the regular.

Therefore, being unnoticed quite possible for an excellent language like PHP. PHP is made to deal with big scale applications and works perfectly with different innovations; hence the potential to stay to be a top investigating web development project.

13. MATLAB

Technical computing is usually done in MATLAB. It is an easy to use environment of integration in computation, visualization and programming. MATLAB is widely used in the academia and industry for data analysis, algorithm development and modeling and simulation. As per recent reports, MATLAB still remains the first choice among engineers and scientists because of its powerful toolboxes and easy to use characteristics.

The Statistics and Machine Learning Toolbox is one of the MATLAb toolbox which stands out. Functions and apps in this toolbox help to describe, analyze and model data. It’s a tool that allows users to perform tasks like clustering, regression and classification which makes it a great one for data scientists and engineers. The toolbox also supports more advanced techniques, such as principal component analysis (PCA) and dimensionality reduction that are necessary for dealing with large datasets.

Another cool feature is MATLAB’s Report Generator. Users can generate full reports from their MATLAB applications. Amongst these reports, they can be presented in PDF, MS Word, HTML formats. One of the best uses of this feature is when sharing research findings and the results with required colleagues or writing the same down.

In addition to its technology capabilities, MATLAB is famous for its community support. The creators of MATLAB (the MathWorks) have plenty of documentation and tutorials that explain all the things you can do with this software, plus a dedicated wiki and forums on which users find inspiration, ask for a hand, and share what they know.

14. Rust

The Rust programming language has quickly received the admiration that developers have for it. The 2023 Stack Overflow Developer Survey claims Rust is the most admired language, with over 80% of those using it wanting to use it again next year. As proof, this is becoming more and more popular, and the community backing it is growing strong.

The safety of Rust is one of its key reasons for popularity. It is designed with the intention that it will avoid common programming errors like null pointer dereferences and buffer overflows, security vulnerabilities. Rust is therefore a great option to write reliable and efficient software.

Rust’s performance, too, is notable. Rust has proven itself to be faster and more efficient than other entrenched languages, as benchmarks attest. Three, this is very important for stuff like web servers and game engines that need to be fast.

Rust community is amazing and still growing. 47% of Rust users say they’re productive with the language, and 75% of all Rust users report they can write production code. Additionally, the survey displayed that 81% of people use Rust on a weekly basis.

There are a whole lot of libraries and tools for Rust’s ecosystem that make it easier to get started and develop complicated applications. A nonprofit organization, the Rust Foundation, funds and offers resources for developers, all to support the language and its community.

Finally, Rust is a secure and powerful programming language with high performance. The ecosystem of its growing community is robust, which makes it a great choice for developers aiming to create high quality software. Whether you’re a beginner or an experienced developer, I’d recommend you to take it for your next project.

15. Swift

Swift has quickly become a favorite among developers, especially those working on Apple platforms. It is a powerful and intuitive programming language for iOS, OS X, watchOS, and tvOS apps that provides modern features, while enabling Objective‑C code to remain fully compatible with Swift. Since then, it has become quite popular ranked number 15 at the 2021 Stack Overflow Developer Survey.

This is one of the reasons Swift is so popular: it’s modern, and it’s safe. By design swift code is safe that is it helps developer write the code less prone to error. Features like optional types removing the need for null pointers and also automatic memory management to reduce the chance of memory leaks are operational.

Generelly Swift usage is connected with development of iOS, iPadOS, macOS, tvOS, watchOS applications. It’s a concise language with an expressive syntax yet easy to read and write, at the same performance level as C and C++. As a result, Swift is a great option for high performance applications.

The language is also evolving and Swift 6 has just come out with newer concurrency and generics improvements. These improvements allow developers to write concurrent code more readily and correctly, and make applications run more efficiently.

If you want to get started with Swift — or already are and want to learn more — you’ll find plenty of resources available to you on the Apple developer website: documentation, sample code, and tutorials. The Swift.org website also is a treasure trove of information for novice or experienced developers alike.

Future Trends of Computer Programming Languages

The future of computer programming languages is evolving rapidly, driven by technological advancements and changing industry needs. Artificial intelligence (AI) and machine learning (ML) are on a steady rise—they are developing the language that can easily deal with complex algorithms and extensive datasets. To give an example, Python still holds this space due to the fact that it provides a very petite and well to AI and ML library.

The other trend is that software development has become more important in the security and reliability. Because of their strong memory safety features, many people prefer languages as Rust in order to avoid common programming bugs and security exploits. This is evidenced by the White House cybersecurity report calling up memory safe languages such as rust to replace more insecure ones like C and C++.

Furthermore, the future of the programming languages is being influenced by the growing prevalence of multi core processors and distributed systems. Indeed, languages for which concurrency and parallelism are a first class citizen are becoming ever more essential, like Go and Kotlin. These languages are meant to be able to take care of more than one operation simultaneously and so are suited well for the modern computing environments.

In addition, developer experience is emphasized, with languages easier to learn and read booming. This is especially evidenced in increasingly popular languages like TypeScript, which have static typing forced upon them to help check errors early in the development lifecycle. TypeScript is also picking up steam as per the Stack Overflow Developer Survey, in which we can see that the language is being adopted more and more.

How Designveloper can help

At Designveloper, we understand the importance of staying ahead in the ever-evolving world of computer programming languages. Having built and worked across many different kinds of projects, we know our way around the future trends and can help you build your projects on top of the most relevant and efficient technologies.

Expertise in Emerging Languages

Additionally, if you were curious about the future of software development, you are likely going to hear more about projects using Python, Rust, and Go, which the team here is skilled in developing. These languages have been implemented by our developers to provide high performance and security.

Custom Solutions

Regardless of whether you require web application development, mobile app development or AI solutions, our uniquely tailored approach caters specifically to your requirements. One of the things we built was a healthcare platform where patients can book appointments and have access to their medical records online.

Proven Track Record

Our team has since 2013 delivered excellent work for clients from all over the world, having completed lots of projects. We are known for our commitment towards excellence in IT market.

Continuous Learning and Adaptation

We know it’s important to stay on top of the latest technologies and trends, so as a team we insure that we are always equipped with the knowledge of how to deal with new challenges. Through this proactive approach we remain at the forefront of the industry.

Comprehensive Services

We provide everything: from state-of-the-art UI/UX design, development of complex systems using GraphQL stack for back-end, to supporting your origination with our cybersecurity consulting, and so on. With our holistic approach, the planning and execution of your entire project is carried out with precision and care.

Partnership with Designveloper means that your projects are in good hands to be constructed with the most modern and relevant programming languages. We want to help you get ahead in the competitive market of software development.

Conclusion

In the future, when more physical objects can become smarter thanks to embedded sensors or programmed commands, the role of software engineers and developers in different domains will prove more important. This promotes them to master their coding skills to produce expected deliverables. 

However, no software developer or engineer excels in only one coding language. When the job fair is increasingly competitive and advanced technologies appear to meet more diverse demands of companies and end-users, developers need to enhance their mastery of more computer programming languages that serve their jobs and projects best.

The post 15 Computer Programming Languages that You Should Learn appeared first on Designveloper.

So this article from Designveloper will equip you with fundamental knowledge about these languages. This helps you have a better understanding to choose the right language for future jobs. Ready? Let’s dive in!

Overview of Web Development Languages

When some people learn about web development, they are advised to start with HTML (Hypertext Markup Language) and CSS (Cascading Style Sheets) but confuse these with programming languages.

HTML and CSS are in fact markup languages that produce electronic documents (or pages) and to design sites respectively. Meanwhile, web programming languages are more complicated and can come into two categories: Back-end and front-end web development languages. 

Normally, web development includes server-side (back-end) coding, client-side (front-end) coding, and database technology.

Take LinkedIn – the world’s largest professional network as an example. To allow candidates from different regions to connect with others, search for a job or even learn new skills, LinkedIn was programmed by three distinct web programming languages: JavaScript, Java, and Scala, then having used Voldemort as a distributed database to store an enormous number of profiles.

Accordingly, languages for web development can be defined as “complex logical instructions and processes” to help build sites that meet certain demands (Wikipedia).

So which are the most popular web development languages in the world? And how different are they? Let’s find the answers in the following part.

Best Web Development Languages in 2024

1. PHP

PHP stands for Hypertext Preprocessor. It is a scripting language mainly used for the server-side of simple, dynamic sites and web apps, typically Drupal, WordPress, Flickr, or Facebook. PHP web development has supported many free and open-source extensions including .NET, Apache, or Bzip2, as well as allowed access to various databases such as MySQL, Microsoft SQL Server, and others.

As some of the PHP functions are similar to C language’s, PHP developers can add functionality to PHP by writing more plug-ins (also called add-ons or extensions) in C. Moreover, until now, PHP still retains basic Perl-like variables of the first version and the ability to be efficiently integrated into HTML. So PHP is easy for beginners to learn. 

Recommended reading: 5 Best PHP Courses to Become a Master

However, in competition with others, PHP proves a bit out-of-date although its versions were released for improvements. That’s why developers often consider this programming language “not fun to program in.”

Other downsides are PHP lacks standardized functions to handle errors and has weak typing. That means types of objects can suddenly change and this consequently produces unexpected outcomes. Therefore, it is more challenging to debug in case any coding flaws arise.

2. Python

This is the highest demanded programming language in today’s market, with 41.9% of software engineers using it extensively in their development work. 

Python is a high-level, yet beginner-friendly language, due to its straightforward syntax and support of various libraries or tools. Additionally, it can work well as a scripting or object-oriented language and has strong typing, so the process of debugging is much faster.

Python has high applications in different sub-fields of IT (e.g. Artificial Intelligence, Machine learning, or Video games) and especially in the scientific domain because the language facilitates the collection of empirical data and the integration with relevant databases. 

In the field of web, Python is one of the best back-end web development languages and such Python web development projects as Spotify or Instagram use the Django framework written in this language. 

Though processing faster than PHP, Python’s speed is still slower than C/C++ and Java. So the language does not suit Real-time apps, mobile apps, or memory-intensive apps.

3. Java

Java is an open-source and object-oriented language that has a good reputation for its stability. Many developers prefer this programming language because of its well-maintained libraries and web frameworks. 

Other pros are JVM (Java Virtual Machine) also allows it to run on various platforms and developing with Java can limit security risks and automatically manage memory storage. Hence, Java is widely used to develop Android mobile apps or enterprise-scale complex web projects. 

Because of those properties, Java is more difficult to learn and beginners probably struggle with long-winded and complicated codes if they decide to start their career with this language. Also, it’s hard to undertake Java web software development processes on a small scale.

4. C#

Compared to other web programming languages, C# is more special because Microsoft initially developed it for the .NET framework. So getting involved in C# web development means that developers will be restricted to that framework. So it only has libraries and types available to add functionality only to the .NET.

Having said that, the language still proves its popularity in programming many web apps or web APIs and developing video games on PC or Xbox.

C#, or pronounced as C sharp, itself is multi-purpose and object-oriented. Similar to Java, it has strong typing and is independent on platforms because of CLR (Common Language Runtime – a virtual machine to run any .NET programs). Software engineers can find some similarities between the syntax of C# and C++ or Java. Some typical examples include semicolons that end a statement and Curly brackets to group statements based on functions or classes. 

5. C++

Along with other web programming languages, C++ contributed to building numerous famous websites such as Google, Twitter, and Amazon. As one of the oldest programming languages in the world, C++ undoubtedly has a large support community and owns a massive number of libraries to provide additional functions. Plus the ease to learn C++ due to its concise language of only 60 keywords, it is still popular now.

It was originally seen as an extension of C, so it inherited various variables of the language such as compatibility with hardware devices, but also got relatively messy syntax. 

Modern C++ can be either object-oriented, functional, or procedural. It’s also seen as a compiled language that translates source code to machine code via compilers like Microsoft Visual Studio on Windows or XCode on MacOS.

C++ is widely applied to build desktop apps, video games, and e-commerce servers, while its web development application is ranked lower than that of JavaScript or Java.

6. Ruby

When hearing of Ruby on Rails web development, some often think of Ruby as an abbreviation of Ruby on Rails. But the latter is effectively a common web framework written in Ruby, with typical projects on Airbnb, GitHub, or CodeAcademy. 

The language itself is high-level and purely object-oriented. This means “every value is an object” and no primitive data types are available in Ruby. It also features strong, dynamic typing and automatic garbage collection – a form to manage memory.

Ruby’s syntax is comparatively similar to that of Python and Perl and quite flexible. Although this makes Ruby easy for coders to read, it can easily produce unpredictable run-time flaws that are hard to debug.  

7. Javascript

In this list, JavaScript is the only language that serves both the server and client sides. It’s the most common programming language with 62.3% of global users as of 2024. Like HTML and CSS, JavaScript plays a core role in programming user-friendly and interactive front ends of most websites, regardless of scale and complexity. 

In terms of server-side development, JavaScript is a high-level programming language. It has multi-paradigm (e.g. object-oriented or functional) features, dynamic typing, and numerous libraries or frameworks such as Node.js, React, or Vue.js that are compatible with multiple operating systems. 

8. Go (Golang)

Go (Golang) is a programming language that Google created in 2009 for cross-platform app development. As a compiled language, Golang can be translated directly into machine code. This allows it to run more quickly than interpreted languages like JavaScript or Python. As a result, Golang becomes a highly efficient language for back-end development that requires fast response times and minimal latency.

Another plus of Go is that it can remove complex features found in other languages (e.g., method overloading or inheritance). This makes code maintenance simpler than ever. Plus, it’s developed to instinctively support concurrent programming through goroutines, which enables apps to process many tasks at the same time. 

These capabilities make Go ideal for large-scale applications that require high performance and scalability. These applications include web servers, RESTful APIs, cloud services, and other backend systems. 

At Designveloper, we also leverage Go, coupled with other technologies like Python or Nodejs, as a robust backend language for developing scalable, high-performance websites like ODC (healthcare platform) because of its rich standard libraries and simple syntax. Further, you can see some popular websites now using Golang. They include Dropbox, Dailymotion, and Soundcloud.

Despite the good points we mentioned, Go still has some limitations. One of them is its lack of advanced features and error-handling capabilities. 

9. Perl

Developed by Lary Wall in 1987, Perl is a high-level, general-purpose programming language known for its robust text-processing capabilities and flexibility. This makes it well-suited for applications that require handling text data effectively, like data parsing or log analysis. 

For web development, Perl helps developers create dynamic HTML content through the Common Gateway Interface (CGI). Also, it has powerful text manipulation capabilities to handle vast volumes of text, regardless of format, like HTML, JSON, or XML. 

Plus, Perl’s Database Interface (DBI) enables smooth integration with databases, such as PostgreSQL, MySQL, or Oracle. This benefits websites and applications that need effective data storage and retrieval. Further, Perl has a large, open-source repository of modules, called CPAN (Comprehensive Perl Archive Network), to handle different tasks like file handling or encryption. 

With these capabilities, many websites like Craigslist, BBC, or Booking.com rely on Perl for their backend tasks. However, Perl is criticized for its complex syntax and lack of frameworks or libraries to develop complex applications. 

10. Scala

Scala was originally developed to solve some challenges of Java, like reducing the amount of code needed for complex tasks. Therefore, its syntax is concise and expressive, keeping the code easy to understand while speeding up development time. Further, Scala operates on the Java Virtual Machine (JVM). This allows developers to fully use existing Java frameworks, libraries, and tools. 

In addition, Scala offers an extensive ecosystem of libraries like Akka, Play Framework, or Slick. These powerful tools help build real-time applications that deal with high traffic. Scala is also compatible with Apache Spark – a common big data processing framework – to process vast amounts of data. For this reason, Scala is beneficial for applications that depend on real-time data processing and data analytics, typically in social media or eCommerce. Some popular Scala websites accordingly are Twitter, LinkedIn, and Pinterest.

Another plus of Scala is its robust static typing and type inference that reduces the likelihood of unexpected bugs in development. 

A Conclusion About Web Development Languages

This article mentioned some best web development languages. Besides them, the tech world is still witnessing the rise in others like Go, TypeScript, and Scala. However, not all languages can be easy to learn though. Not to mention that you need to master the abundance of frameworks to build desired webs. So identifying your future career and establishing realistic goals can help you to choose the most suitable programming language.

The post Top 10 Web Development Languages To Use in 2025 appeared first on Designveloper.

This term is not new to many people, especially when the Internet of Things devices have recently gained popularity. Along with other cutting-edge technologies, IoT has been turning your life around. In this article, people from Designveloper will give you fundamental information about its applications in your life.

What Is the Internet of Things (IoT)?

The simplest definition of IoT may be introduced by Steve Ranger, a chief editor at ZDNet and TechRepublic. Accordingly, the Internet of Things refers to “intelligent” physical devices that are well connected to the wireless network, then collect and share data without human interruption. In other words, minuscule sensors embedded in an inanimate object will make it smarter and then be transformed into an IoT gadget by enabling it to use the Internet to communicate with each other or human.

Internet of Things devices appears prevalent around us, regardless of their sizes. For example:

• Autonomous cars from Tesla 
• A lighting system controlled by the voice of Zuckerberg 
• Connected robots used by Amazon to find products in the warehouse and bring them to workers 
• A Misfit smartwatch to track your health conditions
• Or more ambitiously, smart city projects undertaken in many places like Singapore, New York, and London. 

In 2022, the IoT world recorded 13.8 billion “smart” objects like that and this figure will be around 39.6 billion by 2033 (Statista). Those devices have a wide application in such industries as business, manufacturing, and healthcare. It’s because they provide essential data to manage stocks, machinery, and supply chains, or monitor the health conditions of patients, consequently reducing costs, increasing productivity, and even saving lives. Also, the application of IoT technology in other domains facilitates our lives. 

Are All Internet-Connected Devices Considered IoTs?

The answer is definitely NO. Not all Internet-connected and sensor-embedded devices are seen as IoT ones. A typical example is PCs. IoT mentions inventions that are controlled by only some basic manipulation of users (e.g. voice or click) and then can automatically work with the wireless network. Meanwhile, PCs and their desktop apps can only operate in case human beings give orders via mouse clicks.

Do IoTs Have Any Limitations?

Besides the given benefits, IoT has also aroused considerable anxiety over privacy and security as anything online can be hacked. Surely, no one wants their personal information to be stolen, then annoyed by telesales workers or even threatened by wicked people like Jonathan Galindo who initiated the Blue Whale Challenge.

Top 5 Main Categories Applications of the Internet of Things

IoT is exploding in different domains. This section will divide its applications into multiple categories as follows:

1. Consumer applications

Smart home

One Statista research indicated that the global value of consumer IoT products will reach roughly $210 billion in 2024. Notably, this figure will continue to grow by 11.26% annually in the five subsequent years. This growth is driven by the increasing adoption of smart home technology, especially in developed countries like the US and Germany, to improve lifestyles. 

Smart home, also known as home automation or domotics, is equipped with Wi-Fi-connected lighting, air-conditioning, heating, and security devices. Some typical examples include August Home smart lock, Wiser Energy by Schneider Electric Exchange, or a Google Nest thermostat. 

By using such applications as Apple’s Homekit, Lenovo’s Smart Home Essentials, or Samsung’s SmartThing Hub, you can control smart household appliances by voice with the support of virtual assistants like Siri. 

Despite the high threshold investments, you can save energy and time, or even secure your house better with IoT tech in the long run. Also, they can assist the elderly and disabled and guarantee their safety by alerting them when they move around the house.

Wearable technology

Wearables are installed with sensors to receive and send data to apps on your phones. Most of which are mainly used for tracking your health conditions, including: 

• Smartwatches (e.g. Apple Watch, Skagen Falster, or Fitbit Versa) 

• Fitness trackers track your progress by measuring your steps, heart rate, and burned calories. Typical devices are Fitbit Charge, Fitbit Inspire, or Xiaomi Mi Band 4.

• Sports watches with featured products of Garmin such as Forerunner 945 or Fenix 6 which have GPS and biometric training programs suitable for athletes. 

• Head-mounted displays with two main categories as virtual reality (VR) headsets (e.g. Oculus Quest or HTC Vive) or augmented reality (AR) glasses (e.g Snap Spectacle)

• Hearables like AirPods or Waverley Labs Pilot. 

Even companies are now developing smart clothing like Nadi X yoga pants or Ambiotex smart shirt to control your fitness and stress levels.  

2. Organizational applications

Medical and healthcare

The term IoMT (Internet of Medical Things) appeared to describe all medical instruments connected to the computer systems of healthcare centers. 

They help monitor remote patients, improve treatment or drug management, and notify existing emergencies by sending one-way messages to residents, typically Reverse 9-1-1 communication technology used in Canada and the USA. The IoT application has also expanded to the management of medical facilities and research in clinical labs.

These applications have encouraged the growth of the global healthcare IoT market, from $83.81 billion by 2024 to $134.4 billion by 2029. While the IoT holds huge potential for the medical industry, its current value is still lower than that of consumer IoT, mainly because of factors like higher investment costs and regulatory constraints. 

Transportation

IoT applications in transportation are mainly for freight management, traffic monitoring or car performance tracking. For example, when commodities are shipped, an IoT technology can track their conditions and locations, then send alerts to fleet managers if anything bad happens; or Waze’s IoT-based technology allows drivers to share their routes with others. 

V2X (Vehicular communication systems) communication also plays a vital role in connecting a vehicle with other automobiles, infrastructure, and pedestrians to avoid collisions or warn against roadworks ahead. 

Building automation

Like smart homes, building automation also uses such IoT devices to improve occupants’ experience inside buildings. Some typical examples include Enlighted IoT sensors to control social distancing and safety of workers during the Covid-19 crisis or a Comfy workplace platform to make employees well-informed and productive. 

3. Industrial applications

Manufacturing

Another key application of IoT definitely comes from manufacturing industries. Manufacturers primarily use IoT products for predictive maintenance (29%) by leveraging real-time analytics of equipment to predict the possibility of its breakdown. Further, these products help track the performance of robotic machinery, monitor supply chains, and surveil manufacturing sites. With connected and smart products, manufacturers can automate their production workflows and reduce operational costs while increasing overall productivity.

Agriculture

The Main IoT applications in agriculture consist of precision farming, agriculture drones, livestock monitoring, and smart greenhouses. They aim at making farming procedures more precise, watering plants, enhancing crop yields, or identifying the health conditions of cattle.

4. Infrastructure applications

Using IoT devices in infrastructure (e.g. railway tracks, bridges, or wind farms) is a precondition for building smart cities. One of the primary applications in this field is on metropolitan scale deployments. Based on these large-scale projects, for example, Santander (Spain) allows residents to download the city app which helps search parking lots, monitor environments, and more. 

Other uses of IoT are energy management and environmental monitoring. Its devices will help manage air or water quality, warn about earthquakes or tsunamis, and optimize energy distribution or consumption.

5. Military applications

The IoT application in the military domain originated from the idea that AI or robots will support all future battles for surveillance, reconnaissance, or relevant purposes. The notable projects are the Internet of Battlefield Things that improves the fighting abilities of US soldiers and Ocean of Things – a program led by DARPA to automatically collect and track all activity data on waterways.

Conclusion

Applications of the Internet of Things will undoubtedly develop at astonishing speed in the future. One day you can realize the dream of having a virtual assistant like JARVIS or living in a smart city like in “Ghost in the Shell,” a cyberpunk film. However, we first need to tackle issues like securing our identities online. For the latest news about this topic, subscribe to our blog!

The post Applications of the Internet of Things: 5 Main Categories appeared first on Designveloper.

According to Statista, this framework is used by 8.4% of developers across the globe as of 2024. This figure might not be so impressive due to the rising adoption of other frameworks like .NET, Numpy, or Spring. However, React Native still gains popularity in web and mobile app development, with such typical products as Facebook, Instagram, Bloomberg, and Tesla. This is because React Native enables developers to reuse existing JavaScript code, saving much time and effort when crafting new apps or converting from web to mobile apps. 

So if you are new and interested in this framework, this article is the right place to start your career and provides a detailed list of React Native tutorials and courses.

10 Best React Native Courses That You Should Learn

However, to facilitate your access to React Native, I advise you to have some knowledge of JavaScript first. Android, iOS, or React is not required.

1. React Native – The Practical Guide (2020 Edition)

• Tuition fees: $39 for a whole course on Academind, yet $129.99 on Udemy

Highly recommended by many students on Udemy, React Native – The Practical Guide is an English course continuously updated by the author, Maximilian Schwarzmüller. It provides in-depth knowledge about React Native to help beginners build native iOS and Android applications without knowing Swift, Objective-C, or Java/ Android. Even when you have no idea of the framework, the instructor also gives a brief yet detailed video on “What is React Native?” 

Going from basics to advanced knowledge, the course has 340 lectures with a total length of more than 32 hours, for example adding push notifications to update news for shop apps, building apps without Expo (an open-source platform) or with Redux (a JavaScript library for app state management).

However, the course requires learners to have knowledge of React and JavaScript (ES6+ is highly appreciated). But do not worry, extra lessons on those tech stacks are also provided at the end of the course. After the course, you will get a certificate of completion.

2. The Complete React Native Course (3rd Edition)

• Tuition fees: $19.99

As the most preferred by beginners on Udemy, The Complete React Native Course (3rd Edition) helps students start from the very beginning, like how to install tools for MAC, Windows, and Android. 

You are well equipped with the basics, for example, learning how the Redux platform works or connecting projects with Firebase – a mobile platform of Google. Besides, you will be introduced to Hooks – a new addition in React 16.8 version which allows you to use state and React features without writing a JavaScript class.

This course expects its participants to have a little knowledge of at least JavaScript ES5. However, its biggest disadvantage is only having English subtitles, so non-English speakers may struggle with lessons.

3. The Complete React Native + Hooks Course

• Tuition fees: $94.99

Created by Stephen Grider, this bestseller course includes 425 lectures with React Native versions 0.62.2 and even 0.30.x due to their popularity in the industry. Enrolling in the course, you can acquire fundamental knowledge of JSX (JavaScript XML – a custom markup language used in React), learn to differentiate two React Native elements as “state” and “props”, learn to integrate apps with Firebase for user authentication and understand core principles of React navigation. 

This course also requires a basic understanding of JavaScript before you start.

4. React Native For Designers

• Tuition fees: $9 per month, billed annually

The course is specifically for designers who either switch their job or equip themselves with the fundamentals of React Native for better communication with developers. Indeed, designers sometimes found themselves in conflict with developers over a project due to mutual misunderstanding. So this over 60-hour course will provide necessary information on custom animations, Styled Components, Redux, API data, and adaptive layouts in React Native. Accordingly, you can build cross-platform apps from scratch.

Recommended reading: IT Courses for Tech Leads: Enhancing Management and Leadership Skills

5. CS50’s Mobile App Development with React Native

• Tuition fees: free

This free course is provided by David J.Malan and Jordan Hayashi from Havard University. Inevitably, you are required to have a strong background in HTML/ CSS and the basics of JavaScript before registration for this intermediate-level course. Therefore the very first lessons are about the overview of JavaScript. However, the focus of the whole course is still developing mobile apps with React Native in four large projects.

The big plus of the course is the variety of CS50 communities available on social channels for information exchange. However, the bad news is that updates and official support for the course officially ceased on June 30, 2020. It means you can’t acquire a verified certificate for this course. So it is not a good option for those who require qualifications for bettering CVs.

Having said that, its content, including lectures, resources, and materials, is still archived on Havard’s CS50 website. Therefore, you can still view its content as a valuable reference for learning React Native.

6. React Native: Getting Started

• Tuition fees: a free 10-day trial, but then $29 per month, billed monthly

Like others, this beginner course teaches you the basics of building React Native apps. Starting with an overview of how React Native works, the course then guides you to configuring the environment in record time, involving how to debug and operate your apps on mobile devices. After that, you can learn about the React Native components and how to style your layouts professionally or add navigation to your apps. Finally, you will work with Real Data by consuming an HTTP API from apps.

7. React Native by Meta

• Tuition fees: Free, yet requiring fees to get a verified certification

If you want to learn React Native from scratch, why don’t you start with its creator – Meta? The company offers a five-module program on Coursera that guides you from the basics of React Native to a more advanced implementation. 

After the course, you’ll acquire some knowledge about React Native components like FastList, SectionList, or Pressable. Further, you can gain hands-on experience with some tools like React, React Native, JSX, code editing programs (e.g., Visual Studio Code or Expo), and front-end programming languages (e.g., HTML, CSS, or JavaScript). 

Despite covering the fundamentals of React Native, this course still requires you to get some understanding of React basics and internet navigation skills. 

8. Build Full-stack React Native Apps with Express.js Backend

• Tuition fees: $29.99

Another preferred course on React Native is definitely the one developed by Obot Kingsley. Similar to others, this course also guides how to make full-stack mobile apps using React Native, Redux, and React Navigation, but with Express.js back end to develop RESTful APIs. To improve your understanding of the framework, the course allows you to join four projects building the Todo app, News app, Home Listing app, and Authentication System app.

Any attendees in the course need basic knowledge of JavaScript (ES6+ is highly suggested) and React.

9. ReactNative.dev

• Tuition fees: Free

If you prefer reading documents, ReactNative.dev is a free learning platform that provides detailed tutorials on React Native. Owned by Facebook Inc., the website gives learners a wide range of resources on core React Native elements and API. 

Even when you struggle with projects related to the framework or need to update relevant news, the website will link you to its communities (e.g. Reactiflux Discord or React Native Spectrum) and blog posts.

However, before starting with those documents, you need a basic knowledge of JavaScript. Although understanding React, Android, or iOS development seemed unnecessary, it still advises you for good knowledge of those technologies to facilitate your study.

10. React Native Tutorial of JavatPoint.com

• Tuition fees: Free

Another best React Native tutorial is created by JavatPoint. It provides basic and advanced concepts of React Native for both beginners and professionals, yet in a better-organized way than ReactNative.dev.

How to Learn React Native Effectively: Designveloper’s Expert Advice

If you’re a newbie in React Native app development, here’s some sound advice from the experts of Designveloper – a Vietnam-based leader in software and mobile app development:

Master JavaScript

JavaScript is a foundational programming language of React Native, so mastering is beneficial to your learning. Accordingly, you can focus on understanding JavaScript basics like variables, functions, objects, arrays, and ES6+ features.

Learn React Native APIs

Some React Native APIs like Image, Text, View, StyleSheet, or TouchableOpacity are the core components to create your app’s user interface. Therefore, familiarize yourself with these APIs.

Understand State Management

State management is a crucial factor behind React Native app development. So, learn about state management solutions like React Context, Zustand, Redux, or MobX.

Practice and Build Real Projects

Focusing only on theoretical knowledge doesn’t make you perfect. Instead, practice is always the best way to apply what you’ve learned and develop your app-building skills. So, begin with small projects and then move to larger ones.

Learn and Use Development Tools

Such tools like Visual Studio Code (or other code editors), React Developer Tools, Chrome Developer Tools, and debugging tools help you create an app and debug effectively. So, learn and use these tools frequently even in your pilot projects.

Join Communities & Find Resources

Learning from fellows and experts is the best way to exchange your experience, enhance your skills, and find solutions for your existing problems with mobile app development. Therefore, join online React Native communities, Facebook groups, forums, and other events (e.g., workshops) whenever possible.

Conclusion

Developing web or mobile apps with React Native Front end has increasingly drawn the attention of those who are interested in the framework. No matter which Reacts Native tutorial or course you participate in, it is advisable to learn from different sources such as blogs or experienced developers unless you want to fall behind in the industry.

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In other words, such operations as finding or inserting data elements often require moving through the entire linear data structure. When the amount of data increases, these operations become extremely time-consuming. This is unacceptable for many applications like big data analytics, machine learning, or systems (e.g., online gaming servers) that need instant responses. 

To solve this problem, we need to count on non-linear data structures, like trees or graphs. It’s because they provide more effective operations, especially on vast data volumes.

With the booming of the Internet and social media platforms, the amount of data we create, store, and consume everyday has become increasingly large, with 181 zettabytes estimated in 2025. Therefore, we’ll witness a wider adoption of non-linear data structures in the future. Here in this article, we’ll focus on one common data structure in this group – that’s Tree. So, what’s it, and how does it work? Let’s find it out!

Overview of Tree Data Structures

In the first section, we’ll give you a quick, yet detailed overview of a tree data structure by answering the following questions:

Recommended reading: What Is Data Structure and Their Applications?

Q: What is a Tree data structure?

A tree is one data structure that helps represent hierarchical data. For example, let’s say you want to show employees in an organization and their positions in an organizational hierarchy. Here’s how you show it like this:

This particular logical structure in the image above is a Tree. If you look at this structure upside down and then it will resemble a real tree. The root here is at the top and you are branching out in a downward direction. The logical representation of the tree data structure is always like that. Root at the top and branch out in a downward direction.

Q: What components does a Tree include?

A tree data structure is a collection of entities called nodes linked together to simulate a hierarchy. The topmost node in the tree is called the root of the tree. Furthermore, each node will contain some data and this can be data of any type. In other words, each node will contain some data and may contain a link or reference to some other nodes that can be called its children.

In the image above, data is the name of the employee and their designation. Accordingly, you may have an object with two string fields to store that info.

Q: How does a Tree work?

A tree works in accordance with the following basic operations:

1. Create: The first step is to create a new tree.
2. Insert: Next, you’ll add new data elements to the tree.
3. Search: Then, you’ll search for a particular piece of data in the tree to check whether it exists.
4. Traversal: The final step is to traverse each data element in the tree in a special order. There are two primary ways that help you do this. First, you can use the Depth-First Search (DFS) method that traverses as deep as possibly along one branch before going to another. Meanwhile, the other approach, known as Breadth-First Search (BFS), moves through each level to visit all data elements before traversing to the next.

Q: When can you use a Tree?

With what we described above, you may seemingly envision when to use a Tree. Here are several applications of a Tree data structure in real life:

1. Hierarchical Structure

A Tree is an efficient way of storing and organizing data that is naturally hierarchical – or in other words, has layers. One typical example is a folder containing other folders and files to form a tree structure on a computer.

Similarly, the Domain Name System (DNS) also has a tree structure that organizes domain names in layers, with the broadest categories (“top-level domains”) like .com or .org serving as the “root” layer of the hierarchy. Each top-level domain, accordingly, will have second-level domains (which are often the names of websites like “designveloper” in designveloper.com).

2. Efficient Search

Trees speed up searches. For example, in a binary search tree, looking for a data element is much faster than sifting through a linear data structure as you don’t need to check every element one by one. Instead, you can go directly to parts of the tree that contain that element. This is especially useful when you have to deal with massive datasets.

3. Efficient Organization

Trees assist in sorting data in a consistent, orderly way. For example, data elements are often automatically organized in a self-balancing binary search tree after they’re added. This allows you to look for the largest, smallest, and other specific values faster.

4. Dynamic Data

Trees can grow or shrink when you add or remove nodes. Therefore, they’re helpful in processing data that regularly changes, particularly in real-time applications such as chat apps, gaming apps, navigation & GPS systems, or stock trading platforms.

Types of Tree Data Structures

Various types of trees have been created throughout the past years, to suit certain apps and meet certain constraints or requirements. Some examples are binary search tree, B tree, red-black tree, splay tree, treap, AVL tree, and n-ary tree. Let’s take a closer look at some of them.

Binary Search Trees

A binary search tree (BST), as the name indicates, is a binary tree where data is organized in a hierarchical structure. This data structure stores values in sorted order. A BinaryBinary Tree is a Tree in which each node can have at most 2 children.

Every node in a binary search tree comprises four attributes.

• key: The value stored in the node.
• left: The pointer to the child on the left
• right: The pointer to the child on the right.
• p: The pointer to the parent node.

A binary search tree has a unique property that distinguishes it from other trees. This property is known as the binary-search-tree property.

Let’s assume that A is a node in a binary search tree.

• If B is a node in the left subtree of A, then B.key ≤ A.key
• If B is a node in the right subtree of A, then B.key ≥ A.key

Application of a Tree in Computer science

• Storing naturally hierarchical data. For example, the files system in our computer disk driver is stored in the form of a Tree. The file and folder hierarchy is naturally hierarchical data.
• Organizing data for quick search, insertion, and deletion. Example: Binary search trees can give us O(log n) time for searching an element in it. This is so fast and effective when we want to look for a specific element.
• Trie: is a special kind of Tree used to store dictionaries. It’s really fast and efficient and is used for dynamic spell checking
• Network Routing algorithm

Heaps

A Heap is a special case of a binary tree where the parent nodes are compared to their children with their values and are arranged accordingly.

Let us see how we can represent heaps. Heaps can also be represented using trees as well as arrays. The following images show us how we can represent a binary heap using a binary tree and an array.

Heaps can be one of two types:

1. Min Heap — the key of the parent is smaller than or equal to those of its children. This is known as the min-heap property. The root will contain the heap’s minimum value.
   
2. Max Heap — the key of the parent is bigger than or equal to those of its children. This is known as the max-heap property. The root will contain the heap’s maximum value.

Applications of Heaps

• Used in a heapsort algorithm.
• Helpful in implementing priority queues as the priority values can be ordered according to the heap property where the heap can be implemented using an array.
• Queue functions can be developed using heaps with O(log n) time complexity.
• Used to find the kᵗʰ smallest (or biggest) value in a given array.

How to Choose the Right Data Structure

Our choice of data structure depends upon several factors:

• What needs to be stored? A certain data structure can be the best fit for a particular kind of data.
• Cost of operations. Quite often, we want to minimize the cost of the most frequently performed operations.
• Memory consumption. Sometimes, we may want to minimize the memory usage.
• Easy implementation. We may also choose a data structure for ease of implementation, although this may not be the best strategy.

Conclusion

This article gave you a detailed look at what a tree data structure is and how it works to benefit computer science. Choosing the right data structure will help you manage data and implement different programming tasks effectively. For more articles like this, just follow our Facebook, LinkedIn, and Twitter or subscribe to our blog!

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