r/Python · 2019
Most-mentioned books in r/Python during 2019
This page ranks books by exact tracked mentions in r/Python within the published source unit for 2019. Counts come from the reconciled subreddit-by-month matrix; a source unit may be a bounded sample.
#1 Fluent Python
Luciano Ramalho
The Python book r/Python recommends when you're done with the tutorials and need to know what the language actually does.
#2 Python Crash Course
Eric Matthes
The author built it for high school students who kept getting lost — 126 Reddit mentions later, it's still the default first Python recommendation.
#3 Effective Python
Brett Slatkin
Brett Slatkin's 90-item guide to writing Python the way the language actually wants to be written.
#4 Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow
Aurélien Géron
Aurélien Géron's end-to-end ML textbook: build a working neural net with Scikit-Learn, Keras, and TensorFlow before you finish the first half.
#5 Structure and Interpretation of Computer Programs
Harold Abelson
MIT's 1985 Scheme textbook that 319 Reddit commenters have recommended and a noticeably smaller number have finished.
#6 Clean Code
Robert C. Martin
The book 536 Reddit threads cite when arguing about naming variables — revered by beginners, argued over by seniors.
#7 Domain-Driven Design
Eric Evans
Eric Evans's 2003 blueprint for modeling software around business domains — cited in interviews, assigned in grad programs, rarely finished.
#8 The Design of Everyday Things
Don Norman
A cognitive scientist argues that when you can't open a door or use a stove, the door and stove are broken — not you.