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https://github.com/alanmenchaca/numpy-notes

collection of notes to learn numpy!
https://github.com/alanmenchaca/numpy-notes

jupyter-notebooks numpy python

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collection of notes to learn numpy!

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# numpy-notes
a powerful python library for numerical computing, it provides support for large, multi-dimensional arrays and matrices, along with a collection of high-level mathematical functions to operate on these arrays.

### [hyperlinks](https://nbviewer.jupyter.org/github/alanmenchaca/numpy-notes/tree/main/) to view notebooks
* [introduction to numpy](https://nbviewer.jupyter.org/github/alanmenchaca/numpy-notes/blob/main/Introduction_to_NumPy.ipynb)
* [creating arrays](https://nbviewer.jupyter.org/github/alanmenchaca/numpy-notes/blob/main/Creating_Arrays.ipynb)
* [indexing and slicing](https://nbviewer.jupyter.org/github/alanmenchaca/numpy-notes/blob/main/Indexing_and_Slicing.ipynb)
* [reshaping and resizing](https://nbviewer.jupyter.org/github/alanmenchaca/numpy-notes/blob/main/Reshaping_and_Resizing.ipynb)
* [vectorized expressions](https://nbviewer.jupyter.org/github/alanmenchaca/numpy-notes/blob/main/Vectorized_Expressions.ipynb)

### numpy installation
you can install numpy using either of the following methods:
```sh
# conda
conda install numpy
```

```sh
# or PyPI
pip install numpy
```
the source code is hosted on github: [numpy gitHub](https://github.com/numpy/numpy)

**insights and summaries from the book:**
Robert, J. (2019). Numerical Python, 2nd Edition. Chiba: Apress