Our Club and Summer Experience formats cover slightly different topics with significant overlap. This repo contains all of the Jupyter notebooks used in either or both of them. For the exact curriculum order & topics covered, see the corresponding repos:
The Lessons directory contains live coding demos meant to introduce each topic in ~15 minute interactive mini-lessons. These lessons are delivered in Jupyter Notebooks in a "fill in the blanks" style. Instructors will guide students through each lesson and the students will follow along, filling in the blanks on their own documents as we go.
The Practices directory contains practice exercises for students to spend ~30 minutes to solidify skills taught in each mini-lesson. These practices are delivered in Jupyter Notebooks in a "fill in the blanks" style. Students will work with partners/groups to fill in blanks within the documents, using code from the corresponding lesson as a resource. Instructors will work closely with students to help them complete and understand each practice.
Both Lessons and Practices directories contain _Keys subdirectories with correctly completed versions of each exercise.
Sometimes GitHub doesn't render Jupyter notebooks in a timely manner,
so we use continuous integration to compile all notebook keys to HTML.
View the rendered keys here.
If you need help getting started or using the material, feel free to open an issue or send us an email and we'll be happy to help!
If you come across a bug, open an issue and include a minimal reproducible example.
If you’d like to contribute, see our guidelines.
Please note that this curriculum is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.
The paper describing our curriculum and the development process is out in JOSE! If you would like to cite our work, please use:
Duda & Sovacool et al., (2021). Teaching Python for Data Science: Collaborative development of a modular & interactive curriculum. Journal of Open Source Education, 4(46), 138, https://doi.org/10.21105/jose.00138
A bibtex entry for LaTeX users:
@article{duda_teaching_2021,
doi = {10.21105/jose.00138},
url = {https://doi.org/10.21105/jose.00138},
year = {2021},
publisher = {The Open Journal},
volume = {4},
number = {46},
pages = {138},
author = {Marlena Duda and Kelly Sovacool and Negar Farzaneh and Vy Nguyen and Sarah Haynes and Hayley Falk and Katherine Furman and Logan Walker and Rucheng Diao and Morgan Oneka and Audrey Drotos and Alana Woloshin and Gabrielle Dotson and April Kriebel and Lucy Meng and Stephanie Thiede and Zena Lapp and Brooke Wolford},
title = {Teaching Python for Data Science: Collaborative development of a modular & interactive curriculum},
journal = {Journal of Open Source Education}
}