
Purely Functional Data Structures
Chris Okasaki
Published 1998
220 pages
Data science books show you how to learn from data. Statistics, databases, visualization and machine learning are taught through practical examples, usually with code. Beginners will find gentle introductions and working analysts will find deeper references. Good reading for a career change, too.

Chris Okasaki
Published 1998
220 pages

Ellen Ullman
2001 · 2013 edition
208 pages

Alberto Cairo
2011 · 2013 edition
363 pages

Kashmir Hill
2023 · 2024 edition
330 pages

Arthur E. Jongsma, Jr., L. Mark Peterson
2003 · 2014 edition
608 pages

Peter Turchin
Published 2023
368 pages

Rafael C. Gonzalez, Richard E. Woods
1977 · 2018 edition
1024 pages

Neha Narkhede, Gwen Shapira, Todd Palino
Published 2017
297 pages

John D. Kelleher, Brendan Tierney
Published 2018
280 pages

Rory Smith
Published 2022
304 pages

Noam Nisan, Shimon Schocken
2005 · 2008 edition
325 pages

Steve Lohr
Published 2015
256 pages

Alex Kantrowitz
2020 · 2021 edition
272 pages

Scott Berinato
Published 2016
255 pages

Richard S. Sutton
1998 · 2012 edition
172 pages

Brittany Kaiser
Published 2019
404 pages

Jake VanderPlas
Published 2016
529 pages

Ian H. Witten, Eibe Frank
Published 2005
560 pages

Brett Scott
Published 2022
288 pages

Kevin P. Murphy
2012 · 2020 edition
1292 pages

John Brockman
Published 2015
576 pages

Eamon Javers
Published 2010
320 pages

Lynn Beighley
Published 2007
571 pages

Nathan Yau
Published 2013
320 pages