5 Years, 10 Sprints, a scikit-learn Open Source Journey
PyCon DE & PyData Berlin 2022 Keynote
Data Umbrella
Community for underrepresented persons in data science.
Interview with Sandra Meneses: Contributing to PyMC
Sandra Meneses shares her experience at the Data Umbrella PyMC Sprint.
Interview with Maren Westermann: Extending the Impact of the scikit-learn Sprints to the Community
Maren Westermann shares her learnings from taking part in Data Umbrella scikit-learn sprints.
Behind the Scenes of Data Umbrella scikit-learn Open Source Sprints
Learn the tips for making the online sprints a success.
Tutorial on Arrays, Linked Lists and Graphs; Identifying the Right Tool for the Job
Use Python to code a linked list and use graphs for efficiency.
Tutorial on Automating Workflows Using GitHub Actions
Learn about GitHub Actions and how they can accelerate your application development workflows.
Intro to Probabilistic Programming with PyMC
Learn how open source probabilistic programming makes Bayesian inference algorithms near the frontier of academic research accessible to a wide audience.
Data Umbrella Interview: Juan Martín Loyola
Juan Martín Loyola shares his experience collaborating in open source.
Example of check_scalar Function Contribution in scikit-learn
In this example, learn to refactor code and add tests in scikit-learn.
