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

Code that works perfectly locally (on macOS) goes silent the moment it is deployed to a production Docker container. This is a common sight in solo development. This time, I fell into this classic ...

I ditched my terminal for Claude's built-in code executor, and I'm not going back.

Data visualization is the art of organizing and presenting data visually compellingly. It makes it easier for anyone—regardless of their technical background—to interpret patterns, trends, and ...

A software engineer and book author with many years of experience, I have dedicated my career to the art of automation. A software engineer and book author with many years of experience, I have ...

The PyGSP is a Python package to ease Signal Processing on Graphs. The documentation is available on Read the Docs and development takes place on GitHub. A (mostly unmaintained) Matlab version exists.

This crate implements functions for generating plots and drawings in Rust. It uses Python/Matplotlib but is designed specifically for Rust developers, combining the convenience of a Rust-native API ...

Have you ever found yourself wrestling with Excel formulas, wishing for a more powerful tool to handle your data? Or maybe you’ve heard the buzz about Python in Excel and wondered if it’s truly the ...

Python libraries are pre-written collections of code designed to simplify programming by providing ready-made functions for specific tasks. They eliminate the need to write repetitive code and cover ...

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 ...