PyData NYC 2024 Sprints
Tuesday, November 5
10am-2pm
PyData NYC will host sprint sessions for open-source projects on Tuesday, November 5th at the Microsoft Conference Center.
Each sprint will have a project maintainer leading the sprint to help guide the contributors throughout the session. Sprints are free to attend and people of all programming levels are invited to join. Sprints are an informal part of the conference, where all are welcome to exchange ideas, hack on exciting projects, and create lasting connections. We work together on open-source projects to push our ecosystem forward.
Interested in leading a sprint at NYC 2024? Email [email protected].
Can I attendee sprints?
Yes! Sprints are free and open to everyone no matter what your programming level of experience. Sprints are a great way to add your contribution to your favorite Python libraries and packages. Thanks to the generosity of our sponsors, sprints are free of charge for all participants. If you aren't sure about how you can contribute to a project, it's not a problem. We'll get you up to speed at the How to Contribute to Open Source BoF on Friday and we have helpers at the beginner friendly sprints. Indicate your participation during registration. A paid ticket is not required to participate in sprints. If you are not attending the other conference days, register a free Sprint-only pass.
What will you do as an attendee?
There are a variety of ways to contribute during the sprints session including testing code, fixing bugs, adding new features, and improving documentation. You could also contribute to an entirely brand new project that our ecosystem is missing. One of the best parts about the sprints is that you might also have the opportunity to work with authors and core contributors of your favorite open source packages, as well as, the opportunity to work alongside other developers who are just as excited as you are to make the PyData community even better.
What projects will be attending sprints?
We are excited to welcome PyMC and Matplotlib
More information about the PyMC Sprint
There is a GitHub Discussion for communication before, during, and after the sprint:
https://github.com/pymc-devs/pymc/discussions/7546
The discussion includes a list of candidate PyMC issues that attendees can pick up for the sprint. In addition, we encourage
Connect with PyMC: LinkedIn | GitHub | DiscourseResource: YouTube Playlist of PyMC videos
a) video: Intro to Probabilistic Programming with PyMC
b) video: Contributing to PyMC
c) video: Contributing to PyMC Documentation
d) video: Using Gitpod to Contribute to PyMC
More information about the Matplotlib Sprint
Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python.
For information on ways to contribute, and instructions for setting up a development environment, see https://matplotlib.org/devdocs/devel/index.html
We aim for this sprint to accommodate a variety of skills, for example we have low-code tasks such as triaging bugs and tagging gallery examples and tasks spanning levels at
https://github.com/matplotlib/matplotlib/issues
If you'd like to contribute to a subproject, check out:
https://github.com/matplotlib/mplfinance/issues
https://github.com/matplotlib/mpl-third-party/issues
https://github.com/matplotlib/cheatsheets/issues
Come chat with us before, during, and after the sprint at https://matrix.to/#/#matplotlib_matplotlib:gitter.im In addition, you can find us at https://discourse.matplotlib.org/ and @matplotlib (bluesky, x, fosstodon) and @matplotart (instagram)