Restore jupytercon tutorial readme

Author: mwcraig

README.md

@@ -1,7 +1,42 @@
-# Tools for managing a collection of notebooks
+# JupyterCon Tutorial
 
-## Credit and license
+[JupyterCon](https://jupytercon.com) will use this template to create a new repository for each tutorial, with speakers added as collaborators. 
 
-Some of these tools (and all of the idea for them) is from [Jake VanerPlas](https://jakevdp.github.io/)'s [Python Data Science Handbook](https://github.com/jakevdp/PythonDataScienceHandbook).
+We also include here [instructions for tutorial speakers](https://github.com/jupytercon/tutorial2020/blob/master/Tutorial_Speakers_Guide.md). 
+Please follow these instructions carefully, and email us if you have questions: [[email protected]](mailto:[email protected])
 
-The files `add_navigation.py`  and `generate_contents.py` are modified from the same files in the Handbook, whose code license, a copy of which is in [licenses/LICENSE-CODE](licenses/LICENSE-CODE).
+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.
+
+## Tutorial Chairs for 2020
+
+- Tania Allard, Microsoft
+- Gerard Gorman, University College London
+
+## General information
+
+JupyterCon 2020 is an online event that places heavy emphasis on providing learning opportunities for all participants. 
+It is a project of [NumFOCUS](https://numfocus.org), with a fully volunteer team of organizers.
+
+### What is NumFOCUS?
+
+> 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.
+
+## Format for tutorials
+
+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.
+
+## License
+
+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.