But Python is not the only option for programming machine learning applications. There’s a growing community of developers who are using JavaScript to run machine learning models.

JetBrains asked developers to pick up to three languages they consider their primary programming language. In this context, JavaScript comes out on top (39%), followed Java (37%), and Python (31%).

The 2023 Premium Learn to Code Certification Bundle features 14 different e-courses that introduce students to popular platforms such as Python, Ruby on Rails, C++, and JavaScript.

JavaScript is three times as old! And Python is also an oldie in the field with its thirty years. Despite its young age, there are fields where TypeScript is inevitable. This adds to its popularity.

MXNet also supports a broad range of language APIs—Python, C++, Scala, R, JavaScript, Julia, Perl, Go—although its native APIs aren’t as pleasant to work with as TensorFlow’s.

Or Python projects can invoke Java or JavaScript code. Smart developers have also created tools to automatically translate, link, and integrate the different languages with each other.

Whatever the reason, by November 2018 Python's share of questions asked each month on Stack Overflow rose to 11.3 percent, ahead of JavaScript's share of 10.2 percent.

Three years ago, Lynn Greiner interviewed the big cheeses responsible for the popular scripting languages PHP, Perl, Tcl, Python, Ruby and JavaScript to find out where they believed the languages ...