Issue #142

July 4, 2021

This weeks Data Science Book is "Interactive Dahsboard and Data Apps with Plotly and Dash" by E. Dabbas. In our lives as data scientists and machine learning engineers, we are often called upon to develop Dashboards and other Data Drive apps to communicate results or to monitor the performance of models deployed to production. Plotly and Dash are the current State of the Art libraries for interactive visualizations with a web frontend. This book does a remarkable job of getting you up to speed with both of these libraries taking you from basic to advanced level through practical building blocks that you can immediately customize for your own use.

Interactive Dashboard and Data Apps with Plotly and Dash

1. Introduction to the A* Algorithm [redblobgames.com]
2. Zillow’s Shuttered Home-Flipping Business Lost $881 Million in 2021 [wsj.com]
3. Professor’s perceptron paved the way for AI – 60 years too soon [news.cornell.edu]
4. The Third Web [tante.cc]
5. sci-hub database [sci-hub.ru]
6. Weak vs. Strong Memory Models [preshing.com]
7. Computer Scientists Prove Why Bigger Neural Networks Do Better [quantamagazine.org]
8. An Ancient Geometry Problem Falls to New Mathematical Techniques [quantamagazine.org]

• MadMax: Analyzing the Out-of-Gas World of Smart Contracts (N. Grech, M. Kong, A. Jurisevic, L. Brent, B. Scholz, Y. Smaragdakis)
• Tiered CBDC and the financial system (U. Bindseil)
• Red Teaming Language Models with Language Models (E. Perez, S. Huang, F. Song, T. Cai, R. Ring, J. Aslanides, A. Glaese, N. McAleese, G. Irving)
• Two Sparsities Are Better Than One: Unlocking the Performance Benefits of Sparse-Sparse Networks (K. L. Hunter, L. Spracklen, S. Ahmad)
• Bow-Tie Structures of Twitter Discursive Communities (M. Mattei, M. Pratelli, G. Caldarelli, M. Petrocchi, F. Saracco)
• Bandit Sampling for Multiplex Networks (C. Baykal, V. K. Potluru, S. Shah, M. M. Veloso)
• Behavioral epidemiology: An economic model to evaluate optimal policy in the midst of a pandemic (S. Chakrabarti, I. Krasikov, R. Lamba)

Numerical integration using scipy

July 4, 2021

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