r/learnprogramming · 2020
Most-mentioned books in r/learnprogramming during 2020
This page ranks books by exact tracked mentions in r/learnprogramming within the published source unit for 2020. Counts come from the reconciled subreddit-by-month matrix; a source unit may be a bounded sample.
#1 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.
#2 Clean Code
Robert C. Martin
The book 536 Reddit threads cite when arguing about naming variables — revered by beginners, argued over by seniors.
#3 The Pragmatic Programmer
Andy Hunt
Two veterans hand you a checklist for the craft: don't write code you don't need, own your tools, and fix the broken window before someone else does.
#4 Design Patterns
Erich Gamma
The 1994 Gang of Four catalog that named 23 object-oriented patterns, gave developers a shared vocabulary, and taught a generation to over-apply both.
#5 Introduction to Algorithms
Thomas H. Cormen
The textbook four MIT professors wrote to settle every algorithms argument, cited by 254 Reddit commenters across 12 subreddits and still going.
#6 Code: The Hidden Language of Computer Hardware and Software
Charles Petzold
A retired software engineer builds a computer from telegraph relays and flashlights, one chapter at a time, until you understand what a CPU actually does.
#7 Cracking the Coding Interview
Gayle Laakmann McDowell
The book that turned software hiring into a sport — written by the ex-Googler who introduced programming challenges to the process in the first place.
#8 Eloquent JavaScript
Marijn Haverbeke
Marijn Haverbeke's free online JavaScript book — variables to async in one volume — by someone who said he wouldn't wish a game-programming career on anyone.
#9 The C Programming Language
Brian W. Kernighan
The 1978 book that defined C's syntax, co-written by its creator, still cited by name 281 times across Reddit in 7 years.
#10 Think Like a Programmer
V. Anton Spraul
V. Anton Spraul's guide to breaking down any programming problem before writing a single line of code — written for learners who know syntax but freeze at blank pages.
#11 C++ Primer
Stanley B. Lippman
The 1,000-page C++ textbook that r/learnprogramming recommends by name whenever someone asks how to learn the language seriously.
#12 Designing Data-Intensive Applications
Martin Kleppmann
A backend engineer's field guide to the tradeoffs behind every database, queue, and distributed system you will ever touch.
#13 Grokking Algorithms
Aditya Y. Bhargava
A Python-illustrated tour of data structures and algorithms that r/learnprogramming treats as the first step before Leetcode, not a replacement for it.
#14 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.
#15 The Art of Computer Programming
Donald E. Knuth
Donald Knuth's multi-volume monument to algorithms: the book programmers cite in library lists and almost nobody finishes.
#16 The Clean Coder
Robert C. Martin
Uncle Bob's professionalism manual: say no to bad estimates, refuse death marches, and work the 40 hours then study on your own time.
#17 You Don't Know JS
Kyle Simpson
Kyle Simpson's free GitHub series that bootcamp grads keep crediting when they finally understand closures, this, and coercion.
#18 A Mind for Numbers: How to Excel at Math and Science
Barbara Oakley
A failed math student becomes an engineering professor, then writes the manual on how the brain actually acquires hard skills.
#19 Code Complete
Steve McConnell
Steve McConnell's 900-page construction manual for software, ranked third on Reddit's canonical reading list and still cited 25 years after publication.
#20 Concepts, Techniques, and Models of Computer Programming
Peter Van Roy
The book TeachYourselfCS recommends when SICP feels too easy — a multi-paradigm deep-cut with five mentions on Reddit and a cult of three.
#21 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.
#22 The C++ Programming Language
Bjarne Stroustrup
Bjarne Stroustrup's own manual for the language he built — 1,300 pages that explain every design decision, including the ones you're cursing right now.
#23 Clean Architecture
Robert C. Martin
Uncle Bob's case for building software that survives its own success, bundled with opinions that provoke more argument than the architecture does.
#24 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.
#25 Effective Java
Joshua Bloch
Joshua Bloch's item-by-item case for writing Java the way the platform was designed to be used, with 90 independent recommendations that aged better than most of the language.