C++ is a powerful and high-performance programming language used for system/software development and game programming. Learning DSA in C++ instead of any other language have many advantages such as:

• Memory Management: Learning DSA in C++ gives you a deep knowledge of lower-level memory management which improves your understanding of data structures.
• Versatile: Knowledge of DSA in C++ is versatile and can be transferred to other languages, as many modern languages are built on similar syntax.
• Competitive Programming: C++ is widely used in competitive programming due to its speed and rich set of libraries allowing you to take an edge is problem-solving.
• Object Oriented: C++ allows you to implement data structures as classes, making your code closer to the real implementations of data structures.

1. Python

Python can be the first preference for beginners while looking to learn languages for competitive programming. This is due to the fact that Python is an easy-to-learn programming language with simple syntax & extensive library. Further, provides great functional support. This means Python supports higher-order functions & lazy evaluation features.

The range method of Python follows the concept of Lazy Evaluation that optimizes your code. A lot of execution time is saved for more extensive ranges and It doesn’t require all the values at a time, so it saves memory consumption as well. Which is much more compatible for programmers. Python stands among top languages for competitive programming in terms of efficiency & code optimization.

Speaking of wide usage, Python is heavily used in various trending fields like Data Science, Machine Learning & Artificial Intelligence.

1. C++

The Standard Template Library in C++ easily enables programmers to do efficient & effective programming. This is a rich library with template classes that offers various data structures such as arrays, lists, stacks, trees, graphs, etc.

Further, competitive programming challenges include real-time problems while C++ effortlessly supports solving through OOPS (Object-Oriented Programming) features. All of these reduce your code’s execution time, making it one of the fastest programming languages.

1. JavaScript

JavaScript is majorly used in front-end development. In the modern world full of interactive apps, JavaScript plays a key role in developing the User Interfaces(UI) of apps. These days, with Node.js as a JavaScript runtime, developers use it in functionalities of back-end development too.

Also, the scripting features of this language give comfort for developers to develop diverse desktop applications. Interestingly, JavaScript ranks well as more than 65% of web/app developers worldwide stated that they used JavaScript. Labeling it as the most widely utilized programming language among developers worldwide as of 2022. Therefore, a strong grip on JavaScript will come in handy to solve app-related problem statements in coding challenges.

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1. Java

Java has the BigInteger class as its rich library to calculate large integers. Also, the Geometry Library takes care of the geometrical problems. Java Programmers are known to perform better exception handling & use Java containers accordingly.

Furthermore, Java follows the “Write Once, Run Anywhere” concept which simply means that the compiled Java code can be executed on any platform that supports Java, without requiring any recompilation. Thus, Java is one of the popular choices in programming languages for competitive programming. 5. Go

Goroutines are the recent trendsetters in the competitive programming world. It is a proven fact that applications that are written in Go language are highly performant & scalable. Similar to C++, Golang is a very efficient language. While handling parallelisms like Java, Golang exhibits easy code readability like Python. Concurrently, Go features cleaner syntax, which makes it easier to learn. It is also very fast during the compilation of machine code.