These are some books written by members of the meetup.

R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics

JD Long

R for Data Science: Import, Tidy, Transform, Visualize, and Model Data

Hadley Wickham

Learning R

Richard Cotton

Learning R: A Step-by-Step Function Guide to Data Analysis

Richard Cotton

Pandas for Everyone: Python Data Analysis

Daniel Y. Chen

Red State, Blue State, Rich State, Poor State

Andrew Gelman

Bandit Algorithms for Website Optimization

John Myles White

Bad Data

Q. Ethan McCallum

Text Mining with R

Julia Silge & David Robinson

Teaching Statistics: A Bag of Tricks

Andrew Gelman & Deborah Nolan

Advanced R: Second Edition

Hadley Wickham

Analyzing the Analyzers

Harlan Harris, Sean Patrick Murphy & Marck Vaisman

ggplot2: Elegant Graphics for Data Analysis (Use R!)

Hadley Wickham

Python for Data Analysis

Wes McKinney

R for Everyone

Jared P. Lander

Bayesian Data Analysis

Andrew Gelman, John B. Carlin, Hal S. Stern, David B. Dunson, Aki Vehtari & Donald B. Rubin

Feature Engineering and Selection: A Practical Approach for Predictive Models

Max Kuhn

Data Analysis with R - Second Edition: A comprehensive guide to manipulating, analyzing, and visualizing data in R

Tony Fischetti

Testing R Code

Richard Cotton

A Quantitative Tour of the Social Sciences

Andrew Gelman & Jeronimo Cortina

Getting Started with D3

Mike Dewar

Machine Learning for Hackers

Drew Conway & John Myles White

Applied Predictive Modeling

Max Kuhn & Kjell Johnson

Forecasting: principles and practice

Rob Hyndman

Machine Learning for Email

Drew Conway & John Myles White

Data Science at the Command Line

Jeroen Janssens

R Packages: Organize, Test, Document, and Share Your Code

Hadley Wichkam

Data Science on AWS

Chris Fregly & Antje Barth

Doing Data Science

Cathy O'Neil & Rachel Schutt

Introduction to Empirical Bayes: Examples from Baseball Statistics

David Robinson

A Computational Approach to Statistical Learning

Bryan Lewis and Michael Kane

Parallel R

Q. Ethan McCallum

Service-Oriented Design with Ruby and Rails

Paul Dix

Data Analysis Using Regression and Multilevel/Hierarchical Models

Andrew Gelman & Jennifer Hill

Deep Learning with R

JJ Allaire




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