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numpy-100

(★ 14,378)

100 numpy exercises (with solutions)

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Download Latest Version (.zip)

- - generate_solutions_files.yml
- FUNDING.yml
- exercises100.ktx
- headers.ktx
.gitattributes
.gitignore
100_Numpy_exercises.ipynb
100_Numpy_exercises.md
100_Numpy_exercises_with_hints.md
100_Numpy_exercises_with_hints_with_solutions.md
100_Numpy_exercises_with_solutions.md
100_Numpy_random.ipynb
generators.py
initialise.py
LICENSE.txt
README.md
requirements.txt
runtime.txt

# Installation Guide

1. Get the code

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

Downloads the entire project code from GitHub to your computer.

cd numpy-100

Moves into the project folder you just downloaded.

2. Python

Easy Recommended

Prerequisites

Git Needed to download the project code from GitHub.
Python 3 On Windows, be sure to check 'Add Python to PATH' during installation.

pip install -r requirements.txt

Installs the Python libraries listed in requirements.txt (or similar).

jupyter notebook

Launches Jupyter in your browser so you can open and run the notebook (.ipynb) files.

✅ If it runs without errors and prints output in the terminal, it worked.

// repository documentation

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## 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).