https://github.com/rougier/from-python-to-numpy

An open-access book on numpy vectorization techniques, Nicolas P. Rougier, 2017
https://github.com/rougier/from-python-to-numpy

book cc-by-nc-sa numpy open-access python vectorization

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An open-access book on numpy vectorization techniques, Nicolas P. Rougier, 2017

• Host: GitHub
• URL: https://github.com/rougier/from-python-to-numpy
• Owner: rougier
• License: other
• Created: 2016-11-10T06:55:42.000Z (about 9 years ago)
• Default Branch: master
• Last Pushed: 2025-05-06T05:34:36.000Z (7 months ago)
• Last Synced: 2025-05-07T22:37:28.887Z (7 months ago)
• Topics: book, cc-by-nc-sa, numpy, open-access, python, vectorization
• Language: Python
• Homepage: http://www.labri.fr/perso/nrougier/from-python-to-numpy
• Size: 40.5 MB
• Stars: 2,083
• Watchers: 55
• Forks: 343
• Open Issues: 21
• Metadata Files:
  • Readme: README.md
  • Funding: .github/FUNDING.yml
  • License: LICENSE-book.txt

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README

          
### From Python to Numpy

Copyright (c) 2017 Nicolas P. Rougier  

**License**: [Creative Commons Attribution 4.0 International (CC BY-NC-SA 4.0)](https://creativecommons.org/licenses/by-nc-sa/4.0/).  

**Website**: http://www.labri.fr/perso/nrougier/from-python-to-numpy

There are already a fair number of books about NumPy

(see [bibliography](10-bibliography.rst)) and a legitimate question is to

wonder if another book is really necessary. As you may have guessed by reading

these lines, my personal answer is yes, mostly because I think there is room

for a different approach concentrating on the migration from Python to NumPy

through vectorization. There are a lot of techniques that you don't find in

books and such techniques are mostly learned through experience. The goal of

this book is to explain some of these techniques and to provide an opportunity

for making this experience in the process.

![](data/cubes.png)