Jupyter notebook is a web application for producing computational narratives: a notebook in the browser which runs code and renders text, mathematical notation, images and videos. Jupyter notebooks are a powerful open source tool for scientific computing and reproducible research.
Come join other instructors, researchers and students at UBC to share their Jupyter experiences and to learn about new Jupyter tools!
- Tuesday August 27, 2019
- 10am-4:30pm
- Undergraduate Mathematics Computer Lab, LSK 121
Register at events.ctlt.ubc.ca/events/ubc-jupyterday-2019!
| 10:00-11:00 | Teaching with Data and Computation (Part I): Jupyter, Python and SciPy | Patrick Walls (UBC, MATH) |
| 11:00-12:00 | Teaching with Data and Computation (Part II): GitHub, nbgitpuller and nbgrader | Patrick Walls (UBC, MATH) |
| 12:00-1:00 | Lunch | |
| 1:00-1:30 | Jupyter infrastructure | Ian Allison (UBC, PIMS) |
| 1:30-2:00 | Teaching data science with RISE slides and Binder | Tiffany Timbers (UBC, MDS, STAT) |
| 2:00-2:15 | Coffee | |
| 2:15-2:45 | Jupyter notebooks meet Traditional Coast Salish basket weaving | Laura Gutierrez Funderburk (SFU) |
| 2:45-3:15 | Teaching with big data in earth and ocean sciences | Phil Austin (UBC, EOAS) |
| 3:15-3:30 | Coffee | |
| 3:30-4:00 | Jupyter in chemical engineering courses | Yankai Cao (UBC, CHBE) |
| 4:00-4:30 | Data visualization tools in Jupyter | Jes Simkin (UBC, MDS) |