Bayesian Modeling and Computation in Python

Bayesian Modeling and Computation in Python

Learn to do data science and Bayesian analysis with the open source python library PyMC.

Tutorial on Setting up a Personal Website with Jekyll & GitHub Pages

Tutorial on Setting up a Personal Website with Jekyll & GitHub Pages

Learn to set up Jekyll based website and blog and host it with GitHub Pages

3 Lessons from 3 Years of Data Science

3 Lessons from 3 Years of Data Science

Learn of 3 lessons to build your career in data science

Meet Tiffany, a Tech Career Coach

Meet Tiffany, a Tech Career Coach

Tiffany shares about her background in career coaching

Data Umbrella Year in Review

Data Umbrella Year in Review

2023 Year in Review

Let's Talk Community

Let's Talk Community

PyGotham 2023 Keynote

Let's Talk Community with Yanina Belline Saibene

Let's Talk Community with Yanina Belline Saibene

Discussion with Yanina on what makes a community

Let's Talk Community with Mariatta Wijaya

Let's Talk Community with Mariatta Wijaya

Discussion with Mariatta on what makes a community

Let's Talk Community with Beryl Kanali

Let's Talk Community with Beryl Kanali

Discussion with Beryl on what makes a community

Interview with Lauren Burke: Giving Her First Solo Presentation

Interview with Lauren Burke: Giving Her First Solo Presentation

Lauren Burke shares her path on giving her first solo presentation and some tips for first-time speakers.

Meet Tiffany, a Tech Career Coach

Meet Tiffany, a Tech Career Coach

Tiffany shares about her background in career coaching

Serving PyTorch Models in Production

Serving PyTorch Models in Production

Learn to optimize pytorch model and deploy them into production

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.

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 Setting up a Personal Website with Jekyll & GitHub Pages

Tutorial on Setting up a Personal Website with Jekyll & GitHub Pages

Learn to set up Jekyll based website and blog and host it with GitHub Pages

Data Umbrella Year in Review

Data Umbrella Year in Review

2023 Year in Review

Let's Talk Community

Let's Talk Community

PyGotham 2023 Keynote

Data Umbrella PyMC 2022-2023 Study Group Report

Data Umbrella PyMC 2022-2023 Study Group Report

Summary of the PyMC Open Source Study Groups

Let's Talk Community with Yanina Belline Saibene

Let's Talk Community with Yanina Belline Saibene

Discussion with Yanina on what makes a community

Let's Talk Community with Mariatta Wijaya

Let's Talk Community with Mariatta Wijaya

Discussion with Mariatta on what makes a community

Let's Talk Community with Beryl Kanali

Let's Talk Community with Beryl Kanali

Discussion with Beryl on what makes a community

Data Umbrella PyMC 2023 Open Source Report

Data Umbrella PyMC 2023 Open Source Report

Summary of the PyMC Open Source Working Session, March 2023

Contribute to the Data Events Board

Contribute to the Data Events Board

The event board project is looking for donors and contributors.

Data Umbrella PyMC 2022 Open Source Report

Data Umbrella PyMC 2022 Open Source Report

Summary of the PyMC Open Source Working Sessions, Jul-Aug 2022

Reflections on the Data Umbrella PyMC February 2022 Sprint

Reflections on the Data Umbrella PyMC February 2022 Sprint

PyMC & Data Umbrella share why and how the sprint was organized and outcomes.

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.

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 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 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 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.

Data Umbrella PyMC 2022-2023 Study Group Report

Data Umbrella PyMC 2022-2023 Study Group Report

Summary of the PyMC Open Source Study Groups

Data Umbrella PyMC 2023 Open Source Report

Data Umbrella PyMC 2023 Open Source Report

Summary of the PyMC Open Source Working Session, March 2023

Data Umbrella PyMC 2022 Open Source Report

Data Umbrella PyMC 2022 Open Source Report

Summary of the PyMC Open Source Working Sessions, Jul-Aug 2022

Reflections on the Data Umbrella PyMC February 2022 Sprint

Reflections on the Data Umbrella PyMC February 2022 Sprint

PyMC & Data Umbrella share why and how the sprint was organized and outcomes.

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.

Reproducible Publications with Python and Quarto

Reproducible Publications with Python and Quarto

A tutorial by Thomas Mock of Posit.

Bayesian Modeling and Computation in Python

Bayesian Modeling and Computation in Python

Learn to do data science and Bayesian analysis with the open source python library PyMC.

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.

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.

Serving PyTorch Models in Production

Serving PyTorch Models in Production

Learn to optimize pytorch model and deploy them into production

Open Collective Foundation, Open Source Collective and Open Collective, Explained

Open Collective Foundation, Open Source Collective and Open Collective, Explained

What is the difference between Open Collective Foundation and Open Source Collective?

Contribute to the Data Events Board

Contribute to the Data Events Board

The event board project is looking for donors and contributors.

Planning Data Science Events with Timelines

Planning Data Science Events with Timelines

We provide a helpful resource to set key milestones and due dates leading up to an event.

Bayesian Data Analysis with BRMS (Bayesian Regression Models Using Stan)

Bayesian Data Analysis with BRMS (Bayesian Regression Models Using Stan)

Quickly build robust models for data analysis and prediction using BRMS

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.

Tutorial on Intro to Rust Programming

Tutorial on Intro to Rust Programming

An introduction to Rust Programming for complete beginners

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

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.

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 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 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 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 PyMC 2022-2023 Study Group Report

Data Umbrella PyMC 2022-2023 Study Group Report

Summary of the PyMC Open Source Study Groups

Data Umbrella PyMC 2023 Open Source Report

Data Umbrella PyMC 2023 Open Source Report

Summary of the PyMC Open Source Working Session, March 2023

Data Umbrella PyMC 2022 Open Source Report

Data Umbrella PyMC 2022 Open Source Report

Summary of the PyMC Open Source Working Sessions, Jul-Aug 2022

Reflections on the Data Umbrella PyMC February 2022 Sprint

Reflections on the Data Umbrella PyMC February 2022 Sprint

PyMC & Data Umbrella share why and how the sprint was organized and outcomes.

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.