A better PyData ecosystem, one commit at a time
summary
Describes how the PyData ecosystem (notably projects like pandas) grew into a dominant, open-source alternative to tools like Matlab, SAS and SPSS, and examines what structural, community and collaborative practices enabled that success. Uses the PyData community’s history and team processes as a concrete example to explain why open, Python-based scientific software scaled where other domains’ open projects did not.
AI-written summary · about
related talks
54mKey Challenges In the PyData Ecosystem and How we Can All Make a Difference
44mKeynote
41mHow to Grow an Open Source Project: A Case Study of Python
44mBuilding the PyData Community
41mKeynote
01h 30mPanel: Building a Stronger Open Source Python Data Community
45mValues-based OSS Open Discussion
32mAlice in the Open Source Land