JupyterCon will use this template to create a new repository for each tutorial, with speakers added as collaborators.
We also include here instructions for tutorial speakers. Please follow these instructions carefully, and email us if you have questions: jupytercon-tutorials@numfocus.org
You can delete this file (or rename it) and replace it by a README file that targets the contents of this repository, populated with your tutorial materials.
- Tania Allard, Microsoft
- Gerard Gorman, University College London
#Make sure to update cuda_toolkit version to match host cuda version, currently supports cuda 10.1, 10.2, 11.0
conda env create --name test_dev --file environment.yml
conda activate test_devJupyterCon 2020 is an online event that places heavy emphasis on providing learning opportunities for all participants. It is a project of NumFOCUS, with a fully volunteer team of organizers.
NumFOCUS is a 501(c)-3 non-profit in the United States. Its mission is to promote open practices in research, data, and scientific computing by serving as a fiscal sponsor for open source projects and organizing community-driven educational programs. NumFOCUS envisions an inclusive scientific and research community that utilizes actively supported open source software to make impactful discoveries for a better world.
Tutorials will consist of on-demand video presentations, and written materials presented in Jupyter notebooks. The notebooks should be complete and polished, amply narrated worked-out examples and exercises for participants.
Tutorial basic format:
- Three or four Jupyter notebooks (at minimum), each notebook corresponding to "one lesson" – printed, estimate between 10–20 pages, or 17 to 35 min to read, per notebook.
- Estimate for the material to be 1.5 to 3 hours to work through interactively.
- The notebooks are complemented with videos, 25–30 min in length (not longer); at least one video per notebook.
- Optional exercises for participants, instrumented for auto-grading.
- One full tutorial may add up to total-time-on-task by the learners of about 4.5 hours.
The source materials for JupyterCon tutorials are copyright of their authors. We ask that materials be shared under standard public licenses. We recommend code be under BSD-3 or MIT license, and other materials be under a CC-BY Creative Commons Attribution license.