PyData and SciPy Tutorials¶
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