DSECOP Modules
Our modules are on GitHub and can be found here. We welcome contributions from the community. If you are interested in contributing, please contact us at dsecop@aps.org.
Resources for Involvement
We aim to build a community of researchers, practitioners, and learners to engage with the teaching and education of data science. There are multiple ways to get involved in the conversation.
- Join our Slack Channel
- Subscribe to the DSECOP newsletter
- Email us at dsecop@aps.org
Resources on Learning Python
- A Whirlwind Tour of Python by Jake VanderPlas.
- Python Data Science Handbook by Jake VanderPlas.
- Plotting and Programming in Python from Software Carpentry.
- PHY 546: Python for Scientific Computing
- AST 390: Computational Astrophysics
- Introduction to Colab by Maxim Ziatdinov
- Scientific Computing From Scratch organized by Pratyush Tiwary
Resources on Data Science Education
