What is pyOpenScience?
The pyOpenScience project draws inspiration from rOpenSci, a community to help promote, teach, and grow best-practices in software development for the Scientific R stack.
pyOpenScience is currently trying to determine a plan and scope to begin adopting the same principles for Scientific Python. We'd love to hear your input and thoughts about how this project can be most-useful for the Python community.
The following document lays out our (vague) roadmap for what we'll work on next. It's currently at the following HackMD link:
The pyOpenScience community meets roughly every 3 weeks.
The following is a rough scope for where pyOpenScience will develop in the coming months. It is subject to change, and input/feedback is welcome!
Currently, the pyOpenScience scoping document can be found as a Google Doc at this link: