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.
Community for underrepresented persons in data science.
Learn how open source probabilistic programming makes Bayesian inference algorithms near the frontier of academic research accessible to a wide audience.
Juan Martín Loyola shares his experience collaborating in open source.
In this example, learn to refactor code and add tests in scikit-learn.
Beryl Kanali shares her experience submitting a pull request to scikit-learn for the first time.
Nestor Navarro shares his experience in Data Umbrella 2021 Latin America scikit-learn sprint.
Reshama Shaikh - Summary of the Africa & Middle East Sprint, October 2021
CZI grant awarded to Data Umbrella to support diversity and inclusion in computational science.
Introduction to the Visual Studio Code extension Live Share which allows you to edit snippets collaboratively.
Rami Krispin - This talk focuses on a holistic approach for deploying data science projects into production (e.g., CI/CD) with the use of open-source and free tools such as R, bash, Docker, Github Actions, etc.