Hello Jupyter and IPython crowd, UC Berkeley Institute for Data Science in collaboration with a couple other location is organizing a Docathon the Week of March 6th.
The Docathon is like a Hackathon but focused on developing material and tools for documentation. It will be a distributed event where we hope to gather contributors and project to focus for a week on improving the current state of documentation across the board, regardless of whether you code in R, Python, Julia, C, ... A kickoff event should be happening on the March 6th at least at BIDS in Berkeley, and hope you can join in person, if not be online with US. A couple of other locations are making space available for people wanting to get involved , get help an give help. The Docathon is of course also ment to be a remote event, and is just a good opportunity to work on documentation for a week. You can get more informations on the Docathon website[1] If you'd like to participate to give, receive help, or want your project to get contribution during the Docathon, please register by filling-in the relevant forms on the upper left of the website. We might also ask you to create a "Docathon" label on GitHub. All this will allow us to gather metrics and try to get funding to organize a Docathon next year depending on the success. I'll personally be in BIDS space most of the week and will be happy to help you contribute to the Jupyter Documentation (Notebook 5.0 might not be out yet so that will be a good time to contribute). If you have any questions or like to get involved, host some hackers, write crawling scripts, do some webdesign... you can directly open issues on the GitHub organisation[2], there are plenty of available task. Thanks, -- Matthias [1]: https://bids.github.io/docathon/ [2]: https://github.com/BIDS/docathon -- You received this message because you are subscribed to the Google Groups "Project Jupyter" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To post to this group, send email to [email protected]. To view this discussion on the web visit https://groups.google.com/d/msgid/jupyter/CANJQusUyRZFAWycdntRWmM8tMpN2tS5d_iqh9mEX_nJZGJr%3DPQ%40mail.gmail.com. For more options, visit https://groups.google.com/d/optout.
