10.3 Where To Go From Here?

As this book is on the intersection of the command line and data science, many related topics have only been touched upon. Now, it’s up to you to further explore these topics. The following subsections provide a list of topics and suggested resources to consult.

10.3.1 APIs

  • Russell, Matthew. 2013. Mining the Social Web. 2nd Ed. O’Reilly Media.
  • Warden, Pete. 2011. Data Source Handbook. O’Reilly Media.

10.3.2 Shell Programming

  • Winterbottom, David. 2014. “Commandlinefu.com.” http://www.commandlinefu.com.
  • Peek, Jerry, Shelley Powers, Tim O’Reilly, and Mike Loukides. 2002. Unix Power Tools. 3rd Ed. O’Reilly Media.
  • Goyvaerts, Jan, and Steven Levithan. 2012. Regular Expressions Cookbook. 2nd Ed. O’Reilly Media.
  • Cooper, Mendel. 2014. “Advanced Bash-Scripting Guide.” http://www.tldp.org/LDP/abs/html.
  • Robbins, Arnold, and Nelson H. F. Beebe. 2005. Classic Shell Scripting. O’Reilly Media.

10.3.3 Python, R, and SQL

  • Wickham, Hadley. 2009. ggplot2: Elegant Graphics for Data Analysis. Springer.
  • McKinney, Wes. 2012. Python for Data Analysis. O’Reilly Media.
  • Rossant, Cyrille. 2013. Learning Ipython for Interactive Computing and Data Visualization. Packt Publishing.

10.3.4 Interpreting Data

  • Shron, Max. 2014. Thinking with Data. O’Reilly Media.
  • Patil, DJ. 2012. Data Jujitsu. O’Reilly Media.