Numpy Tutorial Exercises

NumPy (and Pandas) are the #1 libraries for Machine Learning, there is no way you can do anything without them.

This interactive tutorial will help you become familiar with it, master the most used functionalities, and help you clean up your first datasets.

• NumPy documentation.
• Vectors.
• Matrixes.
• Random, Mean Values.

Note: The entire tutorial is 👆 interactive, ✅ auto-graded and with 📹 video tutorials.

These exercises were built in collaboration; we need you! If you find any bugs or misspellings, please contribute and report them.

Contributors

Thanks to these wonderful people (emoji key):

1. Alejandro Sanchez (alesanchezr), contribution: (coder) 💻, (idea) 🤔, (build-tests) ⚠️, (pull-request-review) 👀, (build-tutorial) ✅, (documentation) 📖

2. Paolo (plucodev), contribution: (bug reports) 🐛, (coder) 💻, (translation) 🌎

3. Ricardo Rodriguez (RickRodriguez8080) contribution: (build-tutorial) ✅, (documentation) 📖

This project follows the all-contributors specifications.

Contributions of any kind are welcome!