Repository for PyCon 2019 Education Summit Mini-Sprint: Workbooks that teach Python through scientific data exploration. Facilitated by Gabrielle Rabinowitz.
Participants in this mini-sprint will create educational resources that help high school students master coding concepts in Python while exploring real scientific datasets and proposing answers to big questions. We will use Jupyter Notebook, the pandas library, and publicly available data to create interactive workbooks that science and CS teachers can use in the classroom.
Contributors:
- Gabrielle Rabinowitz, Lead Teacher, BridgeUP: STEM at AMNH (GabrielleRab)
- Jessica Jahnke, Physics Teacher and Girls Who Code Teacher (jejahnke)
- Neha Gupta, Graduate Student Duke University (guptane6)
- Zong-han, Data Science Engineer @ Micron (xingularity)
- Amanpreet Kapoor, Graduate Student, University of Florida (kapooramanpreet)
- Cody Tessler, Assistant Professor of Mathematics, Southeastern University (cjtessler)
- Kelly Sovacool, Bioinformatics PhD Student, University of Michigan (kelly-sovacool)
- beth beyer, Exec Director, The Technology Alliance, Chicago, IL (bbeyer)
Shared resources:
- Python friendly data resource: https://think.cs.vt.edu/corgis/python/index.html
- Data analysis notebooks: lessons 15 to 20 are a dive into pandas and matplotlib. Lesson 20 is focused on using datetimes
- Excellent free online book about teaching with Jupyter Notebook: https://jupyter4edu.github.io/jupyter-edu-book/