Interview with Maren Westermann: Extending the Impact of the scikit-learn Sprints to the Community

In this interview, learn more about how Maren moved from being a Data Umbrella scikit-learn participant to a mentor, and then to organise open source workshops.

  1. How did you learn of the Data Umbrella scikit-learn sprints and what inspired you to attend?

I learned of the first Data Umbrella scikit-learn online sprint, which took place in June 2020, via Twitter. I was interested in contributing to open source and had already made one contribution to scikit-learn. However, when I started contributing to open source I didn’t have a network of like-minded people. I was very much looking forward to connecting with people who shared my interest in open source, data science, and scikit-learn, and to building a professional network in this field.

Read the full interview here:
Interview with Maren Westermann: Extending the Impact of the scikit-learn Sprints to the Community, March 2022

Related Articles

PyMC Open Source Development

In this episode of Open Source Directions, we were joined by Thomas Wiecki once again who talked about the work being done with PyMC. PyMC3 is a Python package for Bayesian statistical modeling and Probabilistic Machine Learning focusing on advanced Markov chain Monte Carlo (MCMC) and variational inference (VI) algorithms. Its flexibility and extensibility make it applicable to a large suite of problems.