NumPy Tutorials Hub

This space gives you two things at once: (1) beginner NumPy tutorials you can run in your browser (most have a “Launch Binder” button—no install needed) and (2) short, critical readings that ask us alternative questions about the origins of quantitative thinking and where our ideas of data, measure, and value come from. 

To access the practice tutorials click here

A carefully chosen collection of runnable notebooks (which can be opened in a browser using Binder) is available on the official NumPy website. These are maintained by members of the NumPy community. There is no need for local setup.

What to expect:

  • Focused practice is one of the "features" of skill builders (e.g., linear algebra on arrays, saving/loading arrays, masked arrays).
  • Applications: complete examples using actual tasks and data (e.g., image processing, small ML demos, Moore's Law with real data).
  • Extras: many items have a "Launch Binder" button; some longer articles and contributor information are included.

After you've quickly reviewed the fundamentals, you should use these tutorials for practical experience.

Each tutorial can take anywhere from 15 to 45 minutes to finish.