https://github.com/matplotlib/GettingStarted

Scipy 2019 Tutorial
https://github.com/matplotlib/GettingStarted

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Scipy 2019 Tutorial

• Host: GitHub
• URL: https://github.com/matplotlib/GettingStarted
• Owner: matplotlib
• Created: 2019-07-03T21:26:28.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2020-01-07T03:50:59.000Z (almost 5 years ago)
• Last Synced: 2024-04-14T01:46:25.505Z (7 months ago)
• Language: Jupyter Notebook
• Size: 2.45 MB
• Stars: 34
• Watchers: 6
• Forks: 43
• Open Issues: 5
• Metadata Files:
  • Readme: README.md

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# Scipy 2019 Tutorial

Matplotlib is a Python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. Matplotlib can be used in Python scripts, the Python and IPython shells, the Jupyter notebook, web application servers, and four graphical user interface toolkits.

The video for this tutorial can be found at https://www.youtube.com/watch?v=Tr4DYo4v5AY

## Installation

Instructions can be found [here](installation.md)

If the installation doesn't work, try [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/matplotlib/GettingStarted/master)

## Acknowledgements

This tutorial is inspired by and steals liberally from [Benjamin Root](https://github.com/WeatherGod)'s fantastic [Anatomy of Matplotlib](https://github.com/matplotlib/AnatomyOfMatplotlib) tutorial. It also borrows some things from Rachel Rakov & Hannah Aizenman's [Introduction to Machine Learning with Sklearn](https://github.com/DHRI-Curriculum/machine-learning). 

The authors are also grateful to Michael Grossberg for his liberal feedback and heatmap data set suggestion, Sadie Bartholomew for inspiring a coding challenge with her gorgeous [tweet](https://twitter.com/sadie_lb/status/1145385648532205568), and tutoral participant Dershan Luo for the install check bug fix. :)