In today’s world, computers are used in almost every product and service. So, which programming languages should you learn first?
Several new programming languages and frameworks are emerging, each designed for a specific group of developers (beginners, intermediates, and experts) and for a particular use case (web application, mobile applications, game development, distributed system, etc).
If you’re thinking about improving your skills and moving into this in-demand field, you should be aware of the different types and levels of programming, as well as the top coding languages to learn. That’s what we’re going to talk about today.
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Best Programming Languages for data structure and algorithm in 2022
1. Python
Python is obviously at the top of the priority list. It is widely considered the best programming language to learn first due to its ease of use. It’s a popular programming language for building scalable online applications since it’s quick to learn, easy to use, and deploy. Python is used to create YouTube, Instagram, Pinterest, and SurveyMonkey.
2. Java
Java is also widely used in the development of Android applications. Due to the billions of Android users, almost every business today needs an Android application. Given that Google has developed an excellent Java-based Android development framework – Android Studio – this also provides huge opportunities for Java developers.
3. C/C++
C is the oldest and most widely used programming language, and it is the base for other languages such as C#, Java, and JavaScript. C++ is a more advanced version of C. Today, many developers avoid learning C on its own, while others believe that knowing C first gives a solid foundation for C++ programming. Both languages are widely used in programming and computer science.
4. Javascript
One of the essential technologies of the World Wide Web is JavaScript, which is a high-level programming language. 97.8 percent of all websites use it for client-side programming.
NodeJS, a JavaScript-based run-time environment, is used by many organizations today, especially startups. Node.js allows the developer to use JavaScript for server-side scripting, which involves running scripts on the server before sending the page to the user’s browser. As a result, both server-side and client-side scripts can now use JS.
5. Golang (or Go)
Go is a programming language designed by Google. It is also known as Golang. It has strong multithreading support, and as a result, it is frequently used by companies that rely largely on distributed systems, as well as Silicon Valley startups. Learn Golang if you want to work for a startup in Silicon Valley that specializes in core systems.
6. R
R is one of the most widely used programming languages for data analysis and machine learning. R’s framework and built-in packages design and build strong machine learning algorithms. It’s also used for statistical computing in general. R is frequently used in enterprises. Anyone wanting to join a large company’s analytics team might consider learning R.
7. Swift
Swift is a programming language for creating iOS applications. iOS-powered devices are becoming more popular. The Apple iPhone, for example, has a large share of the mobile market and is giving Android some real tough competition. If iOS development relates to you, you should learn Swift.
8. PHP
PHP is one of the most widely used backend programming languages. Deny the reality that PHP faces strong competition from Python and JavaScript, the market still requires a large number of PHP developers. Those who want to work as a backend developer for a well-established company should consider learning PHP programming.
9. C#
C# is a Microsoft-developed general-purpose programming language. C# is frequently used for backend programming, game development (using Unity), and developing Windows mobile phone apps, among other things. If you want to create desktop applications, you should learn C#.
10. MATLAB
MATLAB is a statistical analysis tool that is used for fata analysis in a number of organizations. MATLAB is also widely used in the fields of computer vision and image processing. This is ideal for anyone interested in machine learning and deep learning, as well as computational finance, signal processing, and communications, among other fields.
With this, you should have a better idea of which programming language to learn. Your goal should be to choose a language and work on projects that are relevant to your professional goals.
Suggested Read: What is MERN Stack?