16 lines
1.2 KiB
Python
16 lines
1.2 KiB
Python
## 100 numpy exercises
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[](http://mybinder.org:/repo/rougier/numpy-100/notebooks/100%20Numpy%20exercises.ipynb)
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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/).
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→ [Test them on Binder](http://mybinder.org:/repo/rougier/numpy-100/notebooks/100_Numpy_exercises.ipynb)
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→ [Read them on GitHub](100_Numpy_exercises.md)
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Note: markdown and ipython notebook are created programmatically from the dictionary in `data_source.py`.
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To modify the content of these files, chance the text in `data_source.py` and then re-generate them via the
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method into the `generators.py` module.
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This work is licensed under the MIT license.
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[](https://zenodo.org/badge/latestdoi/10173/rougier/numpy-100)
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