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r/datascience · 2022

Most-mentioned books in r/datascience during 2022

This page ranks books by exact tracked mentions in r/datascience within the published source unit for 2022. Counts come from the reconciled subreddit-by-month matrix; a source unit may be a bounded sample.

14
Books ranked
40
Tracked mentions in 2022
Sort by upvotes = sum of comment scores on recognized mentions
Cover of Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow #1

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow

Aurélien Géron

Aurélien Géron's scikit-learn-to-TensorFlow book that data scientists recommend and interviewers weaponize in the same threads.

9 in 2022
Cover of Clean Code #2

Clean Code

Robert C. Martin

Robert Martin's case that unreadable functions are a discipline failure, not an inevitability, argued one renamed variable and one extracted method at a time.

6 in 2022
Cover of Cracking the Coding Interview #3

Cracking the Coding Interview

Gayle Laakmann McDowell

The book credited with inventing the modern coding interview, argued about like it's also on trial for it.

4 in 2022
Cover of Designing Data-Intensive Applications #4

Designing Data-Intensive Applications

Martin Kleppmann

Martin Kleppmann walks backend engineers through every database, queue, and consistency tradeoff they'll eventually get paged about.

4 in 2022
Cover of Pattern Recognition and Machine Learning #5

Pattern Recognition and Machine Learning

Christopher M. Bishop

Chris Bishop opens with Bayes' theorem and doesn't let go until three hundred pages of matrices later you understand why a neural network is really just curve-fitting with priors.

3 in 2022
Cover of Trustworthy Online Controlled Experiments #6

Trustworthy Online Controlled Experiments

Ron Kohavi

A data scientist keeps one book on A/B testing on their desk for a job they don't have yet.

3 in 2022
Cover of Fluent Python #7

Fluent Python

Luciano Ramalho

A Python developer past the syntax stage opens Fluent Python to learn why dunder methods, iterators, and decorators work the way they do.

2 in 2022
Cover of The First 90 Days #8

The First 90 Days

Michael D. Watkins

You start a new job Monday with a boss expecting results by day thirty, and this book is the plan for those three months.

2 in 2022
Cover of The Pragmatic Programmer #9

The Pragmatic Programmer

Andy Hunt

Two working programmers write down the shop habits senior engineers use so junior ones stop reinventing them badly.

2 in 2022
Cover of Code: The Hidden Language of Computer Hardware and Software #10

Code: The Hidden Language of Computer Hardware and Software

Charles Petzold

Charles Petzold builds a working computer from a doorbell, a flashlight, and a length of wire, then keeps going until it's running software.

1 in 2022
Cover of Designing Machine Learning Systems #11

Designing Machine Learning Systems

Chip Huyen

Chip Huyen takes the production-ML systems course she teaches at Stanford and turns the whole pipeline, from data to deployment to drift, into one book.

1 in 2022
Cover of Effective Python #12

Effective Python

Brett Slatkin

Brett Slatkin's Python style guide gets read cover to cover, while its usual shelf-mate Fluent Python becomes something to scare junior devs with instead.

1 in 2022
Cover of Peopleware #13

Peopleware

Tom DeMarco

DeMarco and Lister time how long it takes a programmer to get back into the zone after one interruption, then build a whole management argument around that number.

1 in 2022
Cover of Python Crash Course #14

Python Crash Course

Eric Matthes

A high school teacher gets tired of Python resources that assume too much, so he writes the one that doesn't.

1 in 2022