Dear friends,

Welcome to the 4th of July weekend edition of the Sunday Briefing.

This week we continue hiatus from blogging (many news coming soon!) but you can check out our latest blog post in the CoVID-19 series on the blog: CoVID-19: The first truly global event. In this post we take a look at the impact that CoVID-19 has in our lives, economies and societies. As always, you can 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.

We're also proud to announce a new webinar series on transitioning your analyses from Excel to Python. This is a new course that tries to introduce some of the features of Pandas and the Python ecosystem to Excel users who have become frustrated with its limitations and want to take their analytics to the next level. If you're interested can already sign up for the first edition here.

This week the continue our exploration of Causality with The Case for Causal AI, and a coomparison Predicting vs. Explaining. We also introduce you to SymPy - a Python library for symbolic mathematics,  how you can Train GANs - From Theory to Practice and how you can Debug Your Code with pdb.

On the academic front, we analyze a Decade of Social Bot Detection, Machine learning control with explainable and analyzable methods and, the Predictability of real temporal networks.

Finally, the video of the week we have a 3h long Keras with TensorFlow Course to get you started with one of the most popular deep learning frameworks in Python.

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Today, more than ever,
Semper discentes,

The D4S team