These are my go-to libraries for Python data crunching.

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

Use these eight AI prompts to create clearer charts, graphs, and data visualizations across ChatGPT, Gemini, Claude, Grok, and other AI tools.

The native just-in-time compiler in Python 3.15 can speed up code by as much as 20% or more, although it’s still experimental. JITing, or “just-in-time” compilation, can make relatively slow ...

Classification algorithms learn how to assign class labels to examples (observations or data points), although their decisions can appear opaque. A popular diagnostic for understanding the decisions ...

If you’d like an LLM to act more like a partner than a tool, Databot is an experimental alternative to querychat that also works in both R and Python. Databot is designed to analyze data you’ve ...

One important aspect of behavioural studies is quantifying how animals move. Recently developed tools such as DeepLabCut and SLEAP, have made it easier for researchers to track how animals move. These ...

Monty Python and the Holy Grail is widely considered to be among the best comedy films of all time, and it’s certainly one of the most quotable. This absurdist masterpiece sending up Arthurian legend ...

Take a look at the getting started guide, which provides a quick introduction to the ridgeplot library. For those in a hurry, here's a very basic example on how to quickly get started with the ...