Books by Hadley Wickham
Hadley Wickham is Chief Scientist at RStudio, and an Adjunct Professor of Statistics at the University of Auckland, Stanford University, and Rice University. He builds tools that make data science easier and faster, including the famous tidyverse packages for the R programming language. He was named a Fellow by the American Statistical Association for “pivotal contributions to statistical practice through innovative and pioneering research in statistical graphics and computing”.
Interviews with Hadley Wickham
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1
Structure and Interpretation of Computer Programs
by Gerald Jay Sussman, Harold Abelson & Julie Sussman -
2
The Algorithm Design Manual
by Steven S. Skiena -
3
The Pragmatic Programmer: From Journeyman to Master
by Andrew Hunt & David Thomas -
4
The Art of Readable Code
by Dustin Boswell & Trevor Foucher -
5
Style: Lessons in Clarity and Grace
by Joseph Bizup & Joseph M. Williams
The best books on Computer Science for Data Scientists, recommended by Hadley Wickham
The best books on Computer Science for Data Scientists, recommended by Hadley Wickham
Data science is often said to be built on three pillars: domain expertise, statistics, and programming. Hadley Wickham, Chief Scientist at RStudio and creator of many packages for the R programming language, chooses the best books to helpĀ aspiring data scientists build solid computer science fundamentals.