Banana Data Podcast
Welcome to the Banana Data Podcast! We're a data science podcast focused on the latest & greatest of the DS ecosystem, sprinkled in with our musings & data science expertise. With topics ranging from ethical AI and transparency to robot pets, our hosts, Christopher Peter Makris & Corey Strausman, are here to keep you up to date on the latest trends, news, and big convos in data. If you're looking to keep the knowledge up, be sure to also subscribe to our weekly Banana Data Newsletter! Register here: https://banana-data.com/
Banana Data Podcast
Finding Community in Data Science with Reshama Shaikh, key scikit-Learn sprint organizer
Now that we’ve covered how open source works, we’re looking to pull back the curtain and see who’s actually contributing. In part 2/2 of our series on open source, we sat down with Reshama Shaikh, a statistician and key organizer of scikit-Learn sprints, to learn about the ups & downs of open source contributing, as well how a Sprint in Nairobi benefits Fortune 500 companies in the US.
Reshama Shaikh is an independent data scientist/statistician and MBA with skills in Python, R and SAS. I worked for over 10 years as a biostatistician in the pharmaceutical industry.
Further Reading:
Stack Overflow Developer Survey; Open Source Contributors: https://insights.stackoverflow.com/survey/2019#developer-profile-_-contributing-to-open-source
How to Organize a Scikit Learn Spring by Reshama Shaikh: https://reshamas.github.io/how-to-organize-a-scikit-learn-sprint/
Reshama Shaikh’s Website: https://reshamas.github.io/
Contributing to scikit-Learn: https://scikit-learn.org/stable/developers/contributing.html
Gitter scikit-Learn: https://gitter.im/scikit-learn/scikit-learn
scikitLearn Mailing List: https://mail.python.org/mailman/listinfo/scikit-learn
Join Dataiku’s Paris scikit-Learn sprint this January: https://github.com/scikit-learn/scikit-learn/wiki/Paris-scikit-learn-Sprint-of-the-Decade