All programming languages have their proponents, but not all are equally equipped with libraries for data science and machine learning. (Image: Igor Stevanovic, Getty Images/iStockphoto) ...

Not necessarily for the data-science and machine-learning communities built around Python extensions like NumPy and SciPy, but as a general programming language.

The future of software development isn’t just about who codes faster—it’s about who can express intent more naturally.

Python, meanwhile, is an interpreted language, which means that its human code is converted into machine code line-by-line as the program executes, enabling it to run without first being compiled.

There are dozens of coding languages in popular use today and nobody wants to make the wrong choice. But really, what language you should learn will depend on what you want to do.

This is why I’ve long argued that BASIC is the most consequential language in the history of computing. It’s a language for noobs, sure, but back then most everyone was a noob.

Coding then evolved to higher-level languages where a developer could describe a high-level intent in a machine agnostic language, and have the compiler generate machine-specific code underneath.

Best Programming Languages To Learn (For SEO) In the world of programming, it can be very difficult to choose a programming language. From C to C#, there are a variety of uses for all of them.