Dear friends,

Welcome to the 63rd issue of the Sunday Briefing. 

This week we have a special treat, as you can listen to our thoughts about Assessing Models and Simulations of Epidemic Infectious Diseases in our latest participation in Ben Lorica's Data Exchange podcast.

We're on hiatus from blogging as we prepare a couple of new posts for the coming weeks. Meanwhile, you can also catch up on our two ongoing series. The latest post in the Epidemiology looks at Network Structure, Super-Spreaders and Contact Tracing.  As always, all the code is available in our Epidemiology101 GitHub repository. You can also run the code directly in the cloud with Binder. The latest post on our Causal Inference journey dives into Structural Causal Models, the fundamental concept we'll build on going for the rest of the book. We hope you find our blog posts useful and continue look forward to your insightful comments. 

We continue our partnership with the wonderful people over at Data Umbrella and highlight their upcoming online events: Building a Conversational Bot for WhatsApp w/Twilio & Python on Aug 18. Don't miss it! We're also looking forward to our first edition of the Advanced Time series Analysis webinar this coming Wednesday the 12th. There's a couple of spots left so you can still sign up!

In our regularly scheduled content, we discuss the difficulties and non-intuitiveness of Immunology, look at some intriguing ideas about Declarative Data Visualization and Bayes Theorem. We also help to promote two new datasets of images from Unsplash and EEGs. 

On the academic front,  we look at How the pandemic might play out in 2021 and beyond and Superspreading of SARS-CoV-2 in the USA, a topic we briefly touched on our latest blog post: Network Structure, Super-Spreaders and Contact Tracing. We also have a survey of Data Augmentation for Time Series Classification with Neural Networks and how to correct Sociodemographic Selection Biases for Accurate Population Prediction from Social Media,

Finally, the video of the week, we look at how you can use openpyxl to Become an Excel Wizard With Python.

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Semper discentes,

The D4S team