Python or Java — which is better for AI development

Python has become the language of communication in the field of artificial intelligence for a reason. Its dominance in this area comes not from incredible performance or cutting-edge features, but from the fact that it offers the shortest path from idea to working code.

Python is an accessible, general-purpose language that “everyone knows,” writes xrust. It may not be the first programming language, but it is often the second. It's no surprise that Python's popularity has skyrocketed along with the rise of AI. Python lowers the bar for experimentation, which is critical in the fast-moving field of AI.

But Python has not monopolized the market for AI applications, and nor should it, programmers say. If you're already using Python to create agents, it would be hard to justify switching to Java, which has some advantages. Among the main ones is type safety.

But if you're already developing in Java, using something like the Java-based Embabel agent framework is an obvious solution. It's another reminder that the key to unlocking the value of data is leveraging the people and technology stack you already have, rather than chasing mystical data scientists and complex data architectures.

It's easy to get caught up in the tech wars — Python, Java and NextBigLanguage, — but the most difficult thing about AI is not the tools, but the people. Domain knowledge, skills and implementation are more important than choosing the “ideal” programming language.

Xrust Python or Java – which is better for AI development