Dear friends,

Welcome to the 52nd edition of the Sunday Briefing.

We're taking a short hiatus from blogging until next week while we continue to work on the next posts. Meanwhile, you can catch up on our most recent blog post of the CoVID-19 series: "CoVID-19: Everything you need to know" and follow along with the GitHub repository containing the respective Python code. We hope you find it useful and gladly welcome any comments you might have.

This week we look at how you can automate repetitive tasks with custom git commands, Emails With Python and how we can improve Python performance. Further, we take a deep dive into Causal Inference and Counterfactual Reasoning and into A/B Testing with a blog post and the video of the week.

On the academic front, we look at Animal social networks, the biases of Facebook Users,  introduce sktime, a new library for Forecasting with Python and how we can Learn Undirected Graphs in Financial Markets.

Finally,  in our video of the week, Bertil Hatt and João Martins teach us about AB-testing by cluster
in their 2019 PyData London tutorial.

Data shows that the best way for a newsletter to grow is by word of mouth, so if you think one of your friends or colleagues would enjoy this newsletter, just go ahead and forward this email to them and help us spread the word!

Semper discentes,

The D4S team