Packaging Sprint Night: Warehouse + conda-forge @ Datadog

This is a past event

96 people went

Location image of event venue

Details

Join NYC Python for a pre-PyGotham Packaging Sprint Night!

This evening, we will work on two packaging libraries.
BONUS: if you want to make a package, you can work on that as well

▶️ WAREHOUSE is the next generation Python Package Index, the official third-party software repository for Python and source of packages that developers `pip install`. < https://github.com/pypa/warehouse >

▶️ CONDA-FORGE is the software repository for Anaconda distributions of Python and source of packages that developers `conda install`. < https://conda-forge.org/ >

**SPECIAL GUESTS**
- Sumana Harihareswara / Core Dev / Warehouse project
- Marius van Niekerk / Core Dev / conda-forge project

~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*

What happens at a sprint night?
---------------------
NYC Python Sprint Night are an opportunity to work on open source software, often with the help of local core devs. At each Sprint Night, we pick one or more open source projects and attendees will all work to improve the software in the Python ecosystem!

Even if you have not participated in an open source project before, you are still welcome to attend!

What to expect
---------------------
This is an ALL SKILLS LEVELS event - whether you're an open source beginner or a github guru, you'll definitely be able to contribute. You can work individually or in groups, however you feel comfortable.

In addition to contributors to the project, others familiar with the GitHub workflow will be available to help guide you in making a contribution.

What to bring
---------------------
- A laptop
- A government-issued identification card (to get into the building)
- a library you want to package (optional)

To be extra-prepared:
- Make sure you have `git` installed! (we can help you with this)

~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*

For more information on what to expect at a sprint, check out this blog post from one of our organizers, Lauren Oldja:

https://towardsdatascience.com/become-a-better-data-scientist-by-contributing-to-open-source-4a95ce0c865b