Bayesian Modeling and Computation in Python
Learn to do data science and Bayesian analysis with the open source python library PyMC.
1
Posts
bayesian
1
Posts
community
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.
1
Posts
deployment
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.
1
Posts
education
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.
1
Posts
graphs
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.
22
Posts
opensource
Contribute to the Data Events Board
The event board project is looking for donors and contributors.
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
PyMC & Data Umbrella share why and how the sprint was organized and outcomes.
5 Years, 10 Sprints, a scikit-learn Open Source Journey
PyCon DE & PyData Berlin 2022 Keynote
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
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
Learn the tips for making the online sprints a success.
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
In this example, learn to refactor code and add tests in scikit-learn.
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
Nestor Navarro shares his experience in Data Umbrella 2021 Latin America scikit-learn sprint.
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
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
Sebastian Andres shares his experience submitting a pull request to scikit-learn for the first time.
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
Reshama Shaikh - Summary of the Africa & Middle East, February 2021
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
Reshama Shaikh - Summary of the Global 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
Cynthia Thinwa from Kenya shares her experience contributing to open source.
A Reflection on My First Open Source Contribution Sprint
Jake Tae shares his experience contributing to open source.
My Open Source Adventure
Joe Lucas shares his experience contributing to scikit-learn for the first time.
1
Posts
pandas
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.
1
Posts
press
Data Umbrella Awarded CZI Grant
CZI grant awarded to Data Umbrella to support diversity and inclusion in computational science.
3
Posts
pymc
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
PyMC & Data Umbrella share why and how the sprint was organized and outcomes.
Interview with Sandra Meneses: Contributing to PyMC
Sandra Meneses shares her experience at the Data Umbrella PyMC Sprint.
8
Posts
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
Use Python to code a linked list and use graphs for efficiency.
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
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
In this example, learn to refactor code and add tests in scikit-learn.
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
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
Hugo Bowne-Anderson - Explains Bayesian data science through the lens of simulation.
2
Posts
resource
Contribute to the Data Events Board
The event board project is looking for donors and contributors.
Planning Data Science Events with Timelines
We provide a helpful resource to set key milestones and due dates leading up to an event.
1
Posts
rstats
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.
3
Posts
scikit-learn
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
Learn the tips for making the online sprints a success.
Example of check_scalar Function Contribution in scikit-learn
In this example, learn to refactor code and add tests in scikit-learn.
8
Posts
sprint-blog
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
Nestor Navarro shares his experience in Data Umbrella 2021 Latin America scikit-learn sprint.
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
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
Maren Westerman from Germany shares her experience contributing to open source.
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
Jake Tae shares his experience contributing to open source.
My Open Source Adventure
Joe Lucas shares his experience contributing to scikit-learn for the first time.
5
Posts
sprint-report
Data Umbrella PyMC 2022 Open Source Report
Summary of the PyMC Open Source Working Sessions, Jul-Aug 2022
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
Reshama Shaikh - Summary of the Latin America Sprint, June 2021
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
Reshama Shaikh - Summary of the Global Online Sprint, June 2020
1
Posts
timeseries
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.
1
Posts
vscode
Pair Programming with Visual Studio Code Live Share
Introduction to the Visual Studio Code extension Live Share which allows you to edit snippets collaboratively.