HackMD
The aim of the sprint is to provide a collaborative space where you can make progress on topics which are esencial for the Scientific Python ecosystem. Topics may include (but aren't limited to) tooling, release management, writing / implementing new SPECS, working on the SciPy sparse array interface, documentation, better integration of core packages.
TODO (Before Sprint)
- Write a contributing guide to contribute to the learn repo (Contributing.MD)
- Open issues about things we think people can contribute with
List of topics to work on during the sprint
- SPECs (both new and supporting infrastructure)
- Build Systems
- CI Infrastructure
- DevStats (https://devstats.scientific-python.org/)
- Documentation (Guides)
- Release Management
- Sparse Arrays
- Domain Stacks
- Pytest plugins / Sphinx extensions
- Tutorial
