Support

Support Options

  • Knowledge Base

    Find information on common questions and issues.

  • Support Messages

    Check on the status of your correspondences with members of the QUBES team.

Contact Us

About you
About the problem
Resource Image

Working with spreadsheet-style data in Python with pandas and seaborn

Author(s): Madeleine Bonsma-Fisher

University of Toronto

749 total view(s), 507 download(s)

0 comment(s) (Post a comment)

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.

Description

This 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. The file 'lecture-notes-python-workshop.ipynb' can be opened and run with Jupyter notebook or Jupyter Lab, and the material is designed to be presented as a participatory live-coding workshop in which learners follow along as the instructor projects their code. The file 'lecture-notes-python-workshop.html' is a rendered version of the .ipynb notebook file that can be viewed in a browser.
This material focuses on using the package pandas for working with spreadsheet-type data and the packages matplotlib and seaborn for data visualization.


This material is based on workshops (https://uoftcoders.github.io/2018-07-12-utoronto/) hosted by UofT Coders (https://uoftcoders.github.io), inspired by the Data Carpentry Ecology Python lesson (https://datacarpentry.org/python-ecology-lesson/).

Cite this work

Researchers should cite this work as follows:

Comments

There are no comments on this resource.