Arjun Srivastava's Library

Advanced Analytics With Spark: Patterns for Learning From Data at Scale
Sandy Ryza and Uri Laserson and Sean Owen and Josh Wills
In the second edition of this practical book, four Cloudera data scientists present a set of self-contained patterns for performing large-scale data analysis with Spark. The authors bring Spark, statistical methods, and real-world data sets together...

The Algorithm Design Manual
Steven S Skiena
This newly expanded and updated second edition of the best-selling classic continues to take the "mystery" out of designing algorithms, and analyzing their efficacy and efficiency. Expanding on the first edition, the book now serves as the primary t...

Fundamentals of Data Visualization: A Primer on Making Informative and Compelling Figures
Claus O. Wilke
Effective visualization is the best way to communicate information from the increasingly large and complex datasets in the natural and social sciences. But with the increasing power of visualization software today, scientists, engineers, and business...

Go in Action
Brian Ketelsen and Erik St. Martin and William Kennedy
Summary Go in Action introduces the Go language, guiding you from inquisitive developer to Go guru. The book begins by introducing the unique features and concepts of Go. Then, you'll get hands-on experience writing real-world applications includin...

Hands-On Programming With R: Write Your Own Functions and Simulations
Garrett Grolemund
Learn how to program by diving into the R language, and then use your newfound skills to solve practical data science problems. With this book, you’ll learn how to load data, assemble and disassemble data objects, navigate R’s environment system, wr...

High Performance Spark: Best Practices for Scaling and Optimizing Apache Spark
Holden Karau and Rachel Warren
Apache Spark is amazing when everything clicks. But if you haven’t seen the performance improvements you expected, or still don’t feel confident enough to use Spark in production, this practical book is for you. Authors Holden Karau and Rachel Warre...

R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
Hadley Wickham and Garrett Grolemund
Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for ...

Seductive Interaction Design: Creating Playful, Fun, and Effective User Experiences
Stephen P. Anderson
What happens when you’ve built a great website or app, but no one seems to care? How do you get people to stick around long enough to see how your service might be of value? In Seductive Interaction Design, speaker and author Stephen P. Anderson tak...

Spark: The Definitive Guide: Big Data Processing Made Simple
Bill Chambers and Matei Zaharia
Learn how to use, deploy, and maintain Apache Spark with this comprehensive guide, written by the creators of the open-source cluster-computing framework. With an emphasis on improvements and new features in Spark 2.0, authors Bill Chambers and Mate...