- Foundations of Applied Mathematics is a series of textbooks that include mathematics, algorithms, optimization, approximation.
- Programming and Programming Languages.
- Use the Index, Luke by Markus Winand is a book on SQL Indexing and Tuning.
- High Performance Python by Micha Gorelick and Ian Ozsvald
- Python Cookbook by David Beasley
- Designing Data-Intensive Applications by Martin Kleppmann
- Python Design Patterns by Brandon Rhodes
- Machine Learning Systems Design by Chip Huyen
- The Missing Semester is a series of lectures within Computer Science that are rarely covered. Topics include shell scripting, vim, git, debugging etc
- Semicolon&Sons include screencasts depicting actual workflows in real-life codebases (instead of toy examples), using timeless technologies.
- Mastering Git, Vim, Regex by ThoughBot
- Rules of Machine Learning by Google
- Joel Grus video on typing
- Stop writing Classess by Jack Diederich at PyCon 2012
- The profession of solving (the wrong problem) by Vincent Warmerdam
- Reproducibility in ML by Joel Grus
- Beyond PEP 8 -- Best practices for beautiful intelligible code by Raymond Hettinger
- Readability Counts by Trey Hunner at PyCon 2017