Although the potential for AI is vast, you’ll need software engineers who are proficient in the best languages for AI in order to realize it. There’s no one language that’s best for AI, but one may be better than another for your specific project. In this article, we’ll go over the languages that are best for AI development and some that you might want to avoid. If your company requires the addition of Artificial Intelligence, you need to begin the process of integrating one or more of these languages. With the right development team, there’s no limit to what AI can do to help accelerate the growth of your company.

This dynamic programming language is designed to excel at numerical analysis and computational science. Developed by MIT in 2012, Julia is a relatively new language—but its popularity is on the rise thanks in part to its speed, powerful computational capacity, and script-like syntax. A growing community of support has emerged around the language alongside an expanding number of machine learning libraries like TensorFlow.jl, Scikitlearn.jl, Mocha.jl, Flux, and more. Python is a general-purpose language with applications ranging from back end development to data science and machine learning. Python’s intuitive syntax strives for readability, which streamlines coding and makes the language easier to learn.

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However, you should still be aware of the potential drawbacks of the language. Python IDE is very diverse, but it is not the only advantage that attracts users to the language. More and more people learn Best Programming Languages to Choose for AI python because they know how beneficial it may be. Artificial Intelligence is on everybody’s mind—especially businesses looking to accelerate growth beyond what they’ve previously been able to achieve.

This post lists the ten best programming languages for AI development in 2022. Python is the most used programming language to develop AI applications. YouTube, Instagram, Pinterest, and SurveyMonkey are all built using Python.

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That’s because it’s a fast language that can be used to code high-performance applications. However, there are also games that use other languages for AI development, such as Java. In any context Python has managed to position itself thanks to the ease with which users find it easy to learn and deploy. It also has a large community that offers support, library development and countless forums around its implementation.

Java programming is one of the most common fields at the moment, and if you ask developers across the world what is the most popular language, they will surely name Oracle Java. One of the main reasons why this language is selected for creating AI products is a smooth and simple Virtual Machine. It has a great intuitive interface, outstanding speed, and can create good graphics. If you think LISP is the perfect AI programming language for your project, but you only have one software engineer who knows LISP on your team, you’re setting yourself up for failure. The skill set of your development team or the talent pool you have access to will be another major factor in choosing a language.

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Having said that, businesses and individuals incline more towards AI development these days. With benefits like enhanced customer experience, smart decision making, automation, minimum errors, and data analytics, AI development seems to be a perfect choice. One way to tackle the question is by looking at the popular apps already around. 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.

Used for a wide range of applications, including back-end development and machine learning, Python streamlines coding and makes the language easier to learn. Versatile and simple to use, this highly-popular language is an excellent choice for new and seasoned AI development engineers regardless of programming experience. Developers love its straightforward structure, exceptional documentation, and community support, as well as its broad range of pre-designed libraries that optimize the AI development process. Python isn’t only possibly the fastest programming language, it’s also user-friendly and has scripting and natural-language-processing capabilities.

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It shows your prospective clients or employers that you have hands-on experience in artificial intelligence development. You can link your project portfolio to your resume and professional profiles on websites like LinkedIn. Some great courses for learning computer programming are “Computer Programming for Beginners” by Udemy and “Python for Everybody” by Coursera. The language is syntactically identical to C++, but it provides memory safety without garbage collection and allows optional reference counting. Because of its capacity to execute challenging mathematical operations and lengthy natural language processing functions, Wolfram is popular as a computer algebraic language. Popular in education research, Haskell is useful for Lambda expressions, pattern matching, type classes, list comprehension, and type polymorphism.