Data Umbrella

Community for underrepresented persons in data science.

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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.

32 minutes to read
Data Umbrella Interview: Juan Martín Loyola

Data Umbrella Interview: Juan Martín Loyola

Juan Martín Loyola shares his experience collaborating in open source.

32 minutes to read
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.

32 minutes to read
Data Umbrella AFME2 2021 Sprint - My Experience Contributing to Open Source

Data Umbrella AFME2 2021 Sprint - My Experience Contributing to Open Source

Beryl Kanali shares her experience submitting a pull request to scikit-learn for the first time.

32 minutes to read
Data Umbrella LATAM 2021 Sprint - My Experience Contributing to Open Source

Data Umbrella LATAM 2021 Sprint - My Experience Contributing to Open Source

Nestor Navarro shares his experience in Data Umbrella 2021 Latin America scikit-learn sprint.

32 minutes to read
Data Umbrella AFME2 2021 scikit-learn Sprint Report

Data Umbrella AFME2 2021 scikit-learn Sprint Report

Reshama Shaikh - Summary of the Africa & Middle East Sprint, October 2021

32 minutes to read
Data Umbrella Awarded CZI Grant

Data Umbrella Awarded CZI Grant

CZI grant awarded to Data Umbrella to support diversity and inclusion in computational science.

32 minutes to read
Pair Programming with Visual Studio Code Live Share

Pair Programming with Visual Studio Code Live Share

Introduction to the Visual Studio Code extension Live Share which allows you to edit snippets collaboratively.

32 minutes to read
COVID-19 R Dashboard in Production

COVID-19 R Dashboard in Production

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.

32 minutes to read