https://github.com/rougier/numpy-100

100 numpy exercises (with solutions)
https://github.com/rougier/numpy-100

binder exercises notebook numpy python

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100 numpy exercises (with solutions)

• Host: GitHub
• URL: https://github.com/rougier/numpy-100
• Owner: rougier
• License: mit
• Created: 2014-05-27T04:09:47.000Z (over 10 years ago)
• Default Branch: master
• Last Pushed: 2024-06-26T22:11:47.000Z (6 months ago)
• Last Synced: 2024-11-18T16:33:12.849Z (25 days ago)
• Topics: binder, exercises, notebook, numpy, python
• Language: Python
• Homepage:
• Size: 455 KB
• Stars: 12,197
• Watchers: 204
• Forks: 5,753
• Open Issues: 56
• Metadata Files:
  • Readme: README.md
  • Funding: .github/FUNDING.yml
  • License: LICENSE.txt

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README

        
## 100 numpy exercises

[![Binder](http://mybinder.org/badge.svg)](http://mybinder.org:/repo/rougier/numpy-100/notebooks/100%20Numpy%20exercises.ipynb)

This is a collection of numpy exercises from numpy mailing list, stack overflow, and numpy documentation. I've also created some problems myself to reach the 100 limit. The goal of this collection is to offer a quick reference for both old and new users but also to provide a set of exercises for those who teach. For extended exercises, make sure to read [From Python to NumPy](http://www.labri.fr/perso/nrougier/from-python-to-numpy/).

→ [Test them on Binder](http://mybinder.org:/repo/rougier/numpy-100/notebooks/100_Numpy_exercises.ipynb)  

→ [Read them on GitHub](100_Numpy_exercises.md)  

Note: markdown and ipython notebook are created programmatically from the source data in `source/exercises.ktx`.

To modify the content of these files, please change the text in the source and run the `generators.py` module with a python

interpreter with the libraries under `requirements.txt` installed.

The keyed text format (`ktx`) is a minimal human readable key-values to store text (markdown or others) indexed by keys. 

This work is licensed under the MIT license.  

[![DOI](https://zenodo.org/badge/10173/rougier/numpy-100.svg)](https://zenodo.org/badge/latestdoi/10173/rougier/numpy-100)

### Variants in Other Languages

 - **Julia**: [100 Julia Exercises](https://github.com/RoyiAvital/Julia100Exercises).