Working with spreadsheet-style data in Python with pandas and seaborn
Author(s): Madeleine Bonsma-Fisher
University of Toronto
1545 total view(s), 1549 download(s)
Summary:
This 4-hour participatory live-coding workshop takes learners through the basics of programming in Python via the Jupyter Lab interface and culminates with exploration and visualization of real-world bicycle count data from the City of Toronto.
Contents:
college_spadina_2010_2017.csv(CSV | 48 KB)
faculty_notes.pdf(PDF | 135 KB)
lecture-notes-python-workshop.html(HTML | 2 MB)
lecture-notes-python-workshop.ipynb(IPYNB | 2 MB)
college_spadina_excel_screenshot.jpg(JPG | 177 KB)- jupyter-start-screen.jpg(JPG | 38 KB)
split-apply-combine.png(PNG | 25 KB)- License terms
Versions
| Version | Released | DOI Handle | Status | |
|---|---|---|---|---|
| 1.0 | Dec 20, 2018 | 10.25334/Q4PF1D | published | view version » |