GitHub - rougier/numpy-100: 100 numpy exercises (with solutions)
source link: https://github.com/rougier/numpy-100
Go to the source link to view the article. You can view the picture content, updated content and better typesetting reading experience. If the link is broken, please click the button below to view the snapshot at that time.
100 numpy exercises
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.
→ Test them on Binder
→ Read them on GitHub
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.
Recommend
About Joyk
Aggregate valuable and interesting links.
Joyk means Joy of geeK