Welcome to Numpy exercise tutorial

By @alesanchezr and other contributors at 4Geeks Academy

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

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

• Numpy documentation.
• Vectors.
• Matrix.
• 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 misspells please contribute and report them.

One click installation:

Local Installation

1. Install learnpack, packet manager for learning tutorials and the html compiler plugin for learnpack, make sure you also have node.js 12+:

$ npm i learnpack -g
$ learnpack plugins:install learnpack-python

2. Start the tutorial/exercises by running the following command at the same level were your bc.json file is:

$ npm i [email protected] -g
$ learnpack start

Note: The exercises have automatic grading but it is very rigid and string, my recomendation is to ignore the tests and use them only as a recomendation or you can get frustrated.

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) 🐛, contribution: (coder), (translation) 🌎

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

This project follows the all-contributors specifications.

Contributions of any kind are welcome!