Now corporations are scrambling to not be left behind in the AI race, opening doors for newer programmers with a solid grasp of the fundamentals as well as knowledge of how to work with generative AI.
Building artificial intelligence into your software requires a certain skill set, and on that note, an adjacenct tech stack, for development to run smoothly.
Programming Languages for AI
Python, the most popular and fastest-growing programming language, is an adaptable, versatile, and flexible language with readable syntax and a vast community.
Java, with its object-oriented structure, is the cello that resonates with reliability and efficiency. It’s the language that brought AI development into the enterprise space.
C++ is a fast and efficient language widely used in game development, robotics, and other resource-constrained applications.
Lisp is the second-oldest programming language, used to develop much of computer science and modern programming languages.
R can be your shining light in an otherwise dark tunnel. In terms of getting your numbers straight, it’s actually better than Python.
6. R Languages
Julia is a newer language with a small yet rapidly growing user base that’s centered in academic computing.
Scala is a user-friendly and dependable language with a large community but can still be complex to learn.
Go was designed by Google and the open-source community to meet issues found in
while maintaining its efficiency.
Developed by Apple and the
community, Swift was released in 2014 to replace Objective-C, with many modern languages as inspiration.