Tutorials
Motivation
This repository holds pointers to executable tutorials in the Python data
science ecosystem (Numpy, Pandas, Scikit-Learn, etc..). It uses the following
resources:
- Existing tutorial materials from conferences
- Links to existing videos from conferences
- The public MyBinder deployment to quickly launch executable notebooks
The goal is to provide a central place where users that are new to the
ecosystem can quickly find and leverage existing educational material that the
community produces within technical conferences.
How to contribute
- Find tutorials with notebooks that can be easily run from within a Binder
environment. These typically have the following attributes:
- They can run easily without much setup
- They include an environment.yaml or requirements.txt file that is sufficient for Binder to form a complete environment
- They can run quickly and safely in around 2GB of memory
- They are decently educational and are about tools and topics of broad interest
- Find videos of tutorial presenters delivering those tutorials
- Embed the videos within each notebook, starting at the time when that
notebook is first discussed
- Engage in general planning of this repository, currently at
https://github.com/mrocklin/tutorials