— Tools and Techniques —
Nice collection of insights that are tailored for developers who need to work with databases even though it's not their specialty.
Vicki Boykis' latest post takes a look at some of the many, creative ways that people use Google Drive. Essentially, in production!
x is a new library for manipulating indices of NumPy arrays. If you've ever banged your head against the wall trying to do slice arithmetic in Python, this is the library for you.
Lex Fridman is starting an AI paper reading club! One paper each week. One person presents and drives the discussion. This week, Lex kicks it off with a discussion of the 1950 "Turing Test" paper. All are welcome to talk or just listen. Ties optional. Sign up here >>
Great tool for getting started with AI. PyBoy is a Game Boy emulator that's written in Python and focused on scripting, AI and learning.
Rclean makes it easy to isolate the code that's needed for reproducing your results.
TLDR is a daily, curated newsletter with links and TLDRs of the most interesting stories in tech, science, and programming!
— Resources —
The PDF version of this popular text by Charu C. Aggarwal is free to download through July.
Stanford recently updated the online materials for the popular Machine Learning course, CS 229. This is a key set of lectures by Andrew Ng that goes into more depth than his well-known Machine Learning course on Coursera. Also, see the corresponding course page for notes, problem sets, and additional resources.
— Data Viz —
This new chapter for the Handbook of Computational Statistics and Data Science explores techniques for presenting uncertainty and the reasons why uncertainty visualization is so often confusing.
This step by step tutorial walks through getting the data, loading the imagery, and creating 3D visualizations with rayshader. Code included.