Join us for our first PyData NYC Sprint night. At each Sprint Night, we'll pick one or more open source projects and attendees will all work to improve the software infrastructure in the Python data stack!
For our first meeting, we'll have Paul Ganssle, maintainer of the python-dateutil project, who will be leading a sprint on dateutil, which is a core dependency of matplotlib, pandas and many other libraries and applications: https://github.com/dateutil/dateutil
Food and drinks will be available, sponsored by Bloomberg (https://www.bloomberg.com/company/).
Wiki page with useful information for the sprint: https://github.com/dateutil/dateutil/wiki/PyData-NYC-Sprint---2018-April-11
What to expect
Welcome people of all skill levels - whether you're an open source beginner or a github guru, you'll definitely be able to contribute. We can work individually or in groups, however you feel comfortable.
In addition to the maintainer, others familiar with the github workflow will be available to help guide you in making a contribution to the library.
What to bring
- A laptop
- A government-issued identification card
To be extra-prepared:
- Make sure you have `git` installed
- Fork and clone (https://blog.scottlowe.org/2015/01/27/using-fork-branch-git-workflow/) the dateutil repository (https://github.com/dateutil/dateutil).
- Check out the dateutil issue tracker to get an idea of what you might want to work on. Specifically take a look at issues labeled "help wanted": https://github.com/dateutil/dateutil/issues?q=is%3Aopen+is%3Aissue+label%3A%22help+wanted%22