The most popular programming languages in 2024 and what that even means

These are the best-paid programming languages for 2025

Llama 3 is an open-source model that allows developers to download and deploy the model to their own local system or infrastructure. Like CodeQwen1.5, Llama 3 8B is small enough that a modern system with at least 16GB of VRAM and 32GB of system RAM is sufficient to run the model. Luckily, the Llama 3 8B offers enough capability that users can get excellent value without breaking the bank at the same time. AWS currently charges $3.50 per million output tokens, which is a considerable quantity for a very small price.

• Its development cycle is known for its ability to evaluate expressions interactively and to recompile functions while the program is running.
• In other words, you can finally take advantage of all the new language features in earnest.
• This model boasts several enhancements, including performance-optimized layer implementations and architectural changes that ensure greater training stability.

If you are just beginning your career as a machine learning engineer, with time you’ll discover which are the best programming languages for the specific business problems you are trying to solve. ChatGPT describes C as, “A systems programming language used for building operating systems, embedded systems, and high-performance applications, and known for its efficiency and low-level control.” ChatGPT describes C++ as, “A systems programming language used for building operating systems, game engines, and high-performance applications, and known for its control over hardware and memory.” The first step to choosing an AI tool for coding is to check for tools that support multiple programming languages, especially the ones that you are conversant with and often use. Doing so will help you cut down on unnecessary spending and time wasting.

Top programming languages

Similarly, C# has been used to develop 3D and 2D games, as well as industrial applications. Julia is a relatively new (launched in 2012), high-level, high-performance AI language for technical computing, with syntax that’s familiar to users of other technical computing environments. Here are the most popular languages used in artificial intelligence, along with their key features. “GoLang is a common development language within not only the open source community but large companies and startups,” Strechay said. “For example, some of the AWS services are written in GoLang under the hood. GoLang is very popular because it is developer-friendly, pretty powerful and still very performant.”

Elixir, however, is easier to write than Erlang, with the functional programming concepts of a language like Haskell. Elixir runs on the Erland virtual machine, which works well for low-latency distributed systems. Lightweight threads of events, or processes, send messages to each other.

For example, Ruby was software engineer Dillon Kearns’ first love, but then the functional programming language Elm entered the picture. Like Kotlin’s relationship to Android, Swift is the preferred language for writing apps for any of Apple’s platforms, including iOS, macOS, watchOS, tvOS and iPadOS. It has also enjoyed a period of growth in the past few years, in part due to its ease of use and also the increased confidence in its long-term viability which leads to more developers learning the language.

Cody can be a boon to developers by providing automated code reviews and even identifying and fixing potential bugs in the code. For a more personalized experience, CodeWhisperer allows users to refine its suggestions based on their unique requirements, leveraging their internal libraries, APIs, and best practices. It encourages the use of high-caliber code that resonates with an organization’s set benchmarks and accelerates the onboarding process for newcomers by suggesting relevant resources. With robust protective measures in place, administrators can integrate CodeWhisperer without compromising intellectual assets, maintaining the distinction of customizations from its foundational model. For that, you need LLMs that are fine-tuned and trained with programming languages for you to get results geared towards coding.

Operator isn’t worth its $200-per-month ChatGPT Pro subscription yet – here’s why

With so many to choose from, you need to be strategic about choosing the language that will best meet your needs and help to secure your future in the AI and machine learning field. In this article, we’ll take a look at the top five languages that are paving the way for our new machine overlords to conquer the world—or at least to be able to handle more of the tasks of daily life on their own. The Fastai team is working on a Swift version of their popular library, and we’re promised lots of further optimizations in generating and running models with moving a lot of tensor smarts into the LLVM compiler. Not really, but it may indeed point the way to the next generation of deep learning development, so you should definitely investigate what’s going on with Swift. If a human coded the app, they can implement any feedback themselves and send over a second version, continuing this trend until it’s as the client wants. In general, these AI models do a great job of turning prompts into code.

Python’s popularity in AI and ML has led to its widespread adoption in areas such as natural language processing, computer vision, robotics, and more. Python is the preferred language for artificial intelligence (AI) and machine learning (ML) applications due to its simplicity, flexibility, and extensive libraries. Python’s popularity in AI and ML has led to its widespread adoption in areas like natural language processing, computer vision, and predictive analytics. Mojo is an emerging high performance programming language that has garnered attention for its specialised focus on AI applications development.

Python vs Mojo programming platforms

The average JavaScript developer in the U.S. can expect to earn between $117,002 and $154,956, with entry-level compensation at $97,029. Demand for software engineers remains high, and this is a trend that is set to continue, according to data from the Bureau of Labor Statistics (BLS). And as it’s transforming how we live and how we interact with the world and each other, it’s also creating new opportunities for businesses and individuals. While these languages may have their place in history, they don’t have much to offer the new world of AI.

With the rise of blockchain, Solidity and Rust are excellent choices for decentralized applications and smart contracts. Learning these languages provides a strong foundation in essential skills and future-proof expertise for a rapidly evolving tech world. “For example, when encountering more complex programming problems, developers can provide relevant knowledge as much as possible, and tell ChatGPT in the prompt which potential vulnerabilities to be aware of,” Tang says. Haskell is mainly used in Financial applications, Compiler construction, Formal verification, scientific computing, and Domain-specific languages.

She is always reading about the developments in different field of AI and ML. Lua is a lightweight, embeddable language often used as a scripting language. It’s used in game development, embedded systems, and as a configuration language. Lua’s simplicity and efficiency make it a good choice for scripting tasks. Haskell is a functional, non-strict programming language with expressive syntax and rich built-in architecture.

The most popular programming languages in 2024 (and what that even means) – ZDNet

The most popular programming languages in 2024 (and what that even means).

Posted: Sat, 31 Aug 2024 07:00:00 GMT [source]

Pony’s type system ensures memory safety, making it highly suited for building reliable, concurrent applications. In 2025, the best programming languages to learn offer versatility, industry relevance, and support for emerging technologies. Languages like Python, JavaScript, and Java remain essential due to their widespread use in web development, data science, and enterprise software. It’s used in artificial intelligence, natural language processing, and expert systems.

Is There an AI That Can Write Code?

Coding assistants use Large Language Models (LLMs) that are trained with code related data to provide developers with tools that help increase productivity and efficiency when performing code related tasks. Python is a powerful, high-level programming language that can be used for web development, operating systems, AI, machine learning, numerical computing, mobile applications, and game development. The recent surge in the use of Python is largely due to its simple syntax and ease of use, which makes it relatively easy to learn even by beginners and non-programmers. It is a statically-typed, object-oriented programming language that is known for its portability and scalability.

As such it’s a partner to Scratch, or maybe next step for kids who want to get deeper into coding. It’s simple stuff, but there’s obviously room to expand it almost endlessly and build up to very complex behaviors—all acted out in front of you by the endlessly charming Cozmo. It’s aimed at teenage girls, but is equally relevant for open-minded, creative boys interested in learning the basics principles of coding. Kids learn how to code using easy-to-follow, drag-and-drop code blocks.

Those processes can run concurrently, maximizing machine resources and making it easier to scale vertically or horizontally. If something goes wrong, the platform shows the developer the last known state that’s sure to work. If you go online and search for the most popular programming languages, there are countless results showing that Python is the one. As per Stack Overflow, Python is the third most popular technology as of 2021. All programming languages are not similar and in many instances, what works for one project or a requirement might not work for another.

Because “Hello, world” can often be coded in one line, I added a slight wrinkle, having ChatGPT present “Hello, world” ten times, each time incrementing a counter value. I also asked it to check the time and begin each sequence with “Good morning,” “Good afternoon,” or “Good evening.” At Netguru we specialize in designing, building, shipping and scaling beautiful, usable products with blazing-fast efficiency. No endpoint implementation can be left blank or left with a comment of type “TODO add implementation here”.

Codeium is an advanced AI-driven platform designed to assist developers in various coding tasks. It encompasses a range of functionalities, including code fixing and code generation, but its most prominent feature is the code autocomplete capability. ChatGPT programs at the level of a talented first-year programming student, but it’s lazy (like that first-year student).

These suggestions are not just syntactically correct but are also tailored to seamlessly integrate with the overall style and functional needs of the project. Developed by Meta AI, Code Llama is a specialized version of Llama 2. This model is trained on a code-specific dataset; hence, it can generate code and understand natural language about code from any prompts. JavaScript is easy to use because aspiring data scientists can access models and algorithms in the web browser. Similarly, it enables users to build interactive data visualizations from datasets on a web-based dashboard.

As a programmer, you should get to know the best languages for developing AI. Below are 10 options to consider and how they can benefit your smart projects. Because many of them are popular and common, there is plenty of programming help available if you ever get stuck. Experts are available to assist you at every step of the way, regardless of your initial level of programming skills or the proximity of the deadline. Its development cycle is known for its ability to evaluate expressions interactively and to recompile functions while the program is running.