4c9a228d49
Before: `threshold=np.nan`
After : `threshold=float("inf")`
`np.nan` may fail in latest version.
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|---|---|---|
| .github | ||
| source | ||
| .gitattributes | ||
| .gitignore | ||
| 100_Numpy_exercises_with_hints_with_solutions.md | ||
| 100_Numpy_exercises_with_hints.md | ||
| 100_Numpy_exercises_with_solutions.md | ||
| 100_Numpy_exercises.ipynb | ||
| 100_Numpy_exercises.md | ||
| 100_Numpy_random.ipynb | ||
| generators.py | ||
| initialise.py | ||
| LICENSE.txt | ||
| README.md | ||
| requirements.txt | ||
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.
