Data Umbrella

Community for underrepresented persons in data science.

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5 Years, 10 Sprints, a scikit-learn Open Source Journey

5 Years, 10 Sprints, a scikit-learn Open Source Journey

PyCon DE & PyData Berlin 2022 Keynote

Interview with Sandra Meneses: Contributing to PyMC

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

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

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

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

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

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

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

Example of check_scalar Function Contribution in scikit-learn

In this example, learn to refactor code and add tests in scikit-learn.