Every Python developer knows some or all of these libraries, because they’re stable, reliable, and excellent at what they do.

I firmly believe that in order to understand something completely, you have to build it on your own from scratch. I used to do gradient calculation analytically, and thought that autograd was some ...

PyCharm, DataSpell, and VS Code offer strong features for large projects. JupyterLab and Google Colab simplify data exploration and visualization. Thonny, Rodeo, and Sublime Text are good for ...

In 2005, Travis Oliphant was an information scientist working on medical and biological imaging at Brigham Young University in Provo, Utah, when he began work on NumPy, a library that has become a ...

What if the programming language you rely on most is on the brink of a transformation? For millions of developers worldwide, Python is not just a tool, it’s a cornerstone of their craft, powering ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

This article is adapted from an edition of our Off the Charts newsletter originally published in October 2021. Off the Charts is a weekly, subscriber-only guide to The Economist’s award-winning data ...

Python proves popular once again. Discover the best programming languages to learn for high-demand jobs in 2025. Developers who want to push ahead in their profession will want to choose a programming ...

Author: David M. Cooke, Francesc Alted, and others. NumExpr is a fast numerical expression evaluator for NumPy. With it, expressions that operate on arrays (like '3*a+4*b') are accelerated and use ...