Tutorials

Hands-on guides for pulling, cleaning, and visualizing basketball data yourself — from your first nba_api call to a finished shot chart.

Tutorials

From a raw shot-location pull to a publishable hex shot chart on a drawn court. Real, runnable code, explained line by line.

May 29, 20269 min read

Tutorials

No code required. Pull one table of team ratings, add a couple of columns, and build a defensible power ranking in a spreadsheet.

May 27, 20266 min read

Tutorials

nba_api, Basketball-Reference, pbpstats, and more — ranked by coverage, reliability, and how much pain they'll cause you. A field guide.

May 25, 20267 min read

Tutorials

Install one package, run a few lines of Python, and you've got real NBA stats in a DataFrame. A complete, copy-pasteable starter guide.

May 24, 20268 min read