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.

Tracking Impact and Measuring Success in Data Education Events

Tracking Impact and Measuring Success in Data Education Events

This post summarizes conversations surrounding these topics and provides resources to help you develop an impact strategy for your next event.

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.

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.

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.

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

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.

Data Umbrella LATAM 2021 Sprint - My Experience with Open Source

Data Umbrella LATAM 2021 Sprint - My Experience with Open Source

Sebastian Andres shares his experience submitting a pull request to scikit-learn for the first time.

Data Umbrella LATAM 2021 scikit-learn Sprint Report

Data Umbrella LATAM 2021 scikit-learn Sprint Report

Reshama Shaikh - Summary of the Latin America Sprint, June 2021

Data Umbrella AFME1 Feb 2021 Scikit Learn Sprint Report

Data Umbrella AFME1 Feb 2021 Scikit Learn Sprint Report

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

Data Umbrella AFME1 2021 Sprint - My Experience with Open Source

Data Umbrella AFME1 2021 Sprint - My Experience with Open Source

Fortune Uwha shares her experience contributing to to scikit-learn for the first time.

Data Umbrella 2020 Online scikit-learn Sprint Report

Data Umbrella 2020 Online scikit-learn Sprint Report

Reshama Shaikh - Summary of the Global Online Sprint, June 2020

Review of the Data Umbrella Scikit-learn Online Sprint June 2020

Review of the Data Umbrella Scikit-learn Online Sprint June 2020

Maren Westerman from Germany shares her experience contributing to open source.

Why You Should Contribute to Open Source as a Data Scientist

Why You Should Contribute to Open Source as a Data Scientist

Cynthia Thinwa from Kenya shares her experience contributing to open source.

A Reflection on My First Open Source Contribution Sprint

A Reflection on My First Open Source Contribution Sprint

Jake Tae shares his experience contributing to open source.

My Open Source Adventure

My Open Source Adventure

Joe Lucas shares his experience contributing to scikit-learn for the first time.

Time Series Modeling and Machine Learning Approaches with Python

Time Series Modeling and Machine Learning Approaches with Python

Bruno Gonçalves - Explains a broad range of traditional machine learning (ML) and deep learning techniques to model and analyze time series datasets with an emphasis on practical applications.

Data Umbrella Awarded CZI Grant

Data Umbrella Awarded CZI Grant

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

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.

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.

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.

Time Series Modeling and Machine Learning Approaches with Python

Time Series Modeling and Machine Learning Approaches with Python

Bruno Gonçalves - Explains a broad range of traditional machine learning (ML) and deep learning techniques to model and analyze time series datasets with an emphasis on practical applications.

Bayesian Data Science by Simulation

Bayesian Data Science by Simulation

Hugo Bowne-Anderson - Explains Bayesian data science through the lens of simulation.

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.

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.

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.

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.

Data Umbrella LATAM 2021 Sprint - My Experience with Open Source

Data Umbrella LATAM 2021 Sprint - My Experience with Open Source

Sebastian Andres shares his experience submitting a pull request to scikit-learn for the first time.

Data Umbrella AFME1 2021 Sprint - My Experience with Open Source

Data Umbrella AFME1 2021 Sprint - My Experience with Open Source

Fortune Uwha shares her experience contributing to to scikit-learn for the first time.

Review of the Data Umbrella Scikit-learn Online Sprint June 2020

Review of the Data Umbrella Scikit-learn Online Sprint June 2020

Maren Westerman from Germany shares her experience contributing to open source.

Why You Should Contribute to Open Source as a Data Scientist

Why You Should Contribute to Open Source as a Data Scientist

Cynthia Thinwa from Kenya shares her experience contributing to open source.

A Reflection on My First Open Source Contribution Sprint

A Reflection on My First Open Source Contribution Sprint

Jake Tae shares his experience contributing to open source.

My Open Source Adventure

My Open Source Adventure

Joe Lucas shares his experience contributing to scikit-learn for the first time.

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

Data Umbrella LATAM 2021 scikit-learn Sprint Report

Data Umbrella LATAM 2021 scikit-learn Sprint Report

Reshama Shaikh - Summary of the Latin America Sprint, June 2021

Data Umbrella AFME1 Feb 2021 Scikit Learn Sprint Report

Data Umbrella AFME1 Feb 2021 Scikit Learn Sprint Report

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

Data Umbrella 2020 Online scikit-learn Sprint Report

Data Umbrella 2020 Online scikit-learn Sprint Report

Reshama Shaikh - Summary of the Global Online Sprint, June 2020

Time Series Modeling and Machine Learning Approaches with Python

Time Series Modeling and Machine Learning Approaches with Python

Bruno Gonçalves - Explains a broad range of traditional machine learning (ML) and deep learning techniques to model and analyze time series datasets with an emphasis on practical applications.

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.