Research Computing Services workshop materials for NumPy and Scipy (Scipy part in the works).
You can download all of the files by clicking the green button above and choosing "Download ZIP."
If you download files from the links above, you have to click through to the RAW version of the notebook and download that. If you download directly from the links above, the files won't open because they are web pages, not the raw files.
To download exercise files, right-click on the links below, and choose Save Link As (or the similar option in your browser). Make sure to choose All file types as the content type (or .ipynb if available), and remove any .txt or similar extensions from the file when you save it. The files should be *.ipynb files, with no additional file type extensions.
See Resources for a listing of general Python resources, tutorials, and reference materials. Links below relate specifically to material covered in this workshop.
NumPy Cheat Sheet: quick reference for common commands and operations
100 NumPy Exercises: 100 short exercises in both Markdown and Jupyter notebook versions. Start with just the short questions, move to the version with hints added when needed, and finally check the solutions.
A few NumPy Exercises with solutions.