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You need to choose your language wisely, not according to fashion.
In software development, choosing a programming language is a key decision for any organization. The appropriate language helps optimize the development workflow and create a fault-tolerant software solution that facilitates fast and efficient debugging, documentation, improvement, and maintenance. On the other hand, the wrong language can doom the project to failure from the very beginning.
Modern programming languages, such as Swift, Kotlin, and Go, exhibit a more convenient syntax and increased ease of use than their predecessors, such as SQL, MATLAB, and C. They include features that were not available just a few years ago, which allows you to choose from a variety of languages that are most suitable and effective for a particular project.
Choosing the right programming language
Choosing the right programming language is a difficult task because of the huge number of options available. Comparing different language functions and syntaxes can be difficult. The list below, based on the latest industry trends, details key programming languages in popular areas:
Scientific benchmarking of programming languages
One of the most effective and efficient ways to differentiate programming languages is benchmarking — a process by which programming languages can be analyzed and compared. For example, engineers can directly:
Rating of programming languages by popularity (2023)
When choosing a programming language, some factors should be considered, including the target platform, development time, language flexibility, community support, previous experience with the language, and current popularity of the language. Popularity is an important factor, because even though there are more than 500 programming languages available worldwide, most of the industry relies on only 10, making them the most likely to be used in the future.
The list below shows the top 10 most popular programming languages based on the PYPL index, which estimates the frequency of searches for language tutorials on Google and the 2023 Stack Overflow Developer Survey.
Rating of programming languages by popularity
When choosing a programming language, it is important to remember that there is no perfect language for any project. Developers need to provide flexibility in the selection process. You need to determine what is most important, such as speed, performance, or fewer lines of code, and then find the solution that best matches the identified priorities.
The future of programming languages
In the future, the world of programming will be centered around artificial intelligence and machine learning. Python (driving AI), JavaScript (dominating web browsers), Java (widely used in enterprise environments), Kotlin (often used in applications) and C++ (systems programming and game development) will play a key role in shaping the digital landscape. With the development of technology, new languages appear, and the old ones gradually become obsolete. Therefore, it is important for developers to keep abreast of changes in the programming world, learn new languages and constantly improve their skills.
In software development, choosing a programming language is a key decision for any organization. The appropriate language helps optimize the development workflow and create a fault-tolerant software solution that facilitates fast and efficient debugging, documentation, improvement, and maintenance. On the other hand, the wrong language can doom the project to failure from the very beginning.
Modern programming languages, such as Swift, Kotlin, and Go, exhibit a more convenient syntax and increased ease of use than their predecessors, such as SQL, MATLAB, and C. They include features that were not available just a few years ago, which allows you to choose from a variety of languages that are most suitable and effective for a particular project.
Choosing the right programming language
Choosing the right programming language is a difficult task because of the huge number of options available. Comparing different language functions and syntaxes can be difficult. The list below, based on the latest industry trends, details key programming languages in popular areas:
- -web development-JavaScript, Java, HTML5, Ruby, TypeScript;
- mobile development – Kotlin, Swift, Objective-C, C#, C++.
- Data Science – Python, R, SQL, Scala, Julia, MATLAB;
- artificial intelligence and machine learning – Python, R, Java, Lisp, Prolog, JavaScript;
- cloud computing – Java, Python, JavaScript, Golang, .Net Core;
- Cybersecurity – Perl, C++, SQL, Ruby, Rust, Assembly.
Scientific benchmarking of programming languages
One of the most effective and efficient ways to differentiate programming languages is benchmarking — a process by which programming languages can be analyzed and compared. For example, engineers can directly:
- compare the performance of different programming languages with each other;
- evaluate performance differences between different compilers or runtimes of the same language with the same source code;
- evaluate real-world server environments (cloud VMs or Docker/Podman) and their impact on the performance of various programming languages.
Rating of programming languages by popularity (2023)
When choosing a programming language, some factors should be considered, including the target platform, development time, language flexibility, community support, previous experience with the language, and current popularity of the language. Popularity is an important factor, because even though there are more than 500 programming languages available worldwide, most of the industry relies on only 10, making them the most likely to be used in the future.
The list below shows the top 10 most popular programming languages based on the PYPL index, which estimates the frequency of searches for language tutorials on Google and the 2023 Stack Overflow Developer Survey.

Rating of programming languages by popularity
When choosing a programming language, it is important to remember that there is no perfect language for any project. Developers need to provide flexibility in the selection process. You need to determine what is most important, such as speed, performance, or fewer lines of code, and then find the solution that best matches the identified priorities.
The future of programming languages
In the future, the world of programming will be centered around artificial intelligence and machine learning. Python (driving AI), JavaScript (dominating web browsers), Java (widely used in enterprise environments), Kotlin (often used in applications) and C++ (systems programming and game development) will play a key role in shaping the digital landscape. With the development of technology, new languages appear, and the old ones gradually become obsolete. Therefore, it is important for developers to keep abreast of changes in the programming world, learn new languages and constantly improve their skills.