Are you interested in a one-day hands-on intensive Pandas workshop and sprint for new contributors with a Pandas core-dev leading the sprint?
The aim of this workshop and sprint is to encourage and rope in more bug triagers and new contributors to scientific programming in Python, by teaching attendees about data processing tools in Python, and have them contribute a patch to Pandas (or any other PyData stack).
Chang She, a core-developer for the Free/Libre source Pandas library for data analysis, will be the sprint leader conducting the workshop. He is also the co-founder of LambdaFoundry, a company that provides high productivity solutions for Data Science.
It will be a small workshop to enable every attendee to ask questions freely and easily contribute to the Pandas scientific project.
Here is a tentative schedule and format for how the day will be structured into two parts:
Please make a list of Pandas github issues you'd like to work on, or just find interesting.
Sunday, 16-December-2012. Kickstart your Sunday with a Pandas workshop and end it with a sprint in the afternoon.
The event is Free but open only to registered attendees. Space will be limited and if you are interested in contributing, Register for the PyData Workshop+Sprint 2012. Closer to the event, we will email all registered attendees to re-confirm their attendance/RSVP.
Besides this public wiki, we have a mailing list for volunteers that you can subscribe to at: http://lists.openhatch.org/mailman/listinfo/pydata-outreach-staff
The wiki itself is actually a git repository, which means you can clone it, edit it locally/offline, add images or any other file type, and push it back to us. It will be live immediately. Go ahead and try: $ git clone https://github.com/svaksha/PyData-Workshop-Sprint/wiki Wiki pages are normal files, with the .wiki extension. You can edit them locally, as well as creating new ones. Have fun!