[Data, the Humanist's New Best Friend](index.ipynb)
*Bibliography*

Student

Programming and Python

Data Mining

  • Christopher Burns et al. Python Scientific Lecture Notes. 2013. http://scipy-lectures.github.com/

  • Daumé III, Hal (2014) A Course in Machine Learning. http://ciml.info/

  • McKinney, Wes. Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython. O'Reilly Media, 2012.

Text Analysis

Network Science

  • Easley, David, and Jon Kleinberg. "Networks, crowds, and markets." Cambridge Univ Press 6.1 (2010): 6-1.

  • Moretti, Franco (2011) Graphs, Maps, Trees: Abstract Models for a Literary History Hardcover by http://www.amazon.com/dp/1844670260/?tag=stackoverfl08-20

  • Robinson, Ian; Jim Webber, and Emil Eifrém. Graph Databases, O'Reilly, 2013.

  • Tsvetovat, Maksim, and Alexander Kouznetsov. Social Network Analysis for Startups: Finding connections on the social web. O'Reilly Media, 2011.

Professor

Programming and Python

  • Abelson, H., & Sussman, G. J. (1983). Structure and interpretation of computer programs.

  • Bret Victor. Learnable Programming. Designing a programming system for understanding programs. September 2012. http://worrydream.com/LearnableProgramming

  • Daley, Mark. Computer Science 2120/9642 Materials, 2013. https://dl.dropbox.com/u/8011180/2120/index.html

  • Downey, Allen, Chris Meyers, and Jeffrey Elkner. How to think like a computer scientist. Green Tea Press, 1999. http://www.openbookproject.net/thinkcs/python/english3e/

  • John L. Hennessy and David A. Patterson. 2011. Computer Architecture: A Quantitative Approach.

  • Papert, Seymour. Mindstorms: Children, computers, and powerful ideas. Basic Books, Inc., 1980.

  • Pilgrim, Mark. Dive Into Python. Apress, 2004.

  • Python Documentation, Python Software Foundation, 2013. http://docs.python.org/3/index.html

  • Knuth, Donald E.. (First Edition 1968). The Art of Computer Programming Second Edition, Volume 1/Fundamental Algorithms (2nd, 1973 ed.). Addison-Wesley Publishing Company.

  • D. Harel. Algorithmics: The Spirit of Computing. Addison-Wesley, 2nd edition, 1992.

Data Mining

  • Alpaydin, Ethem. Introduction to machine learning. MIT press, 2004.

  • Bishop, Christopher M. Pattern recognition and machine learning. Vol. 1. New York: springer, 2006.

  • Canning, John (2014) Statistics for Humanities. http://statisticsforhumanities.net/

  • Christopher Burns et al. Python Scientific Lecture Notes. 2013. http://scipy-lectures.github.com/

  • Daumé III, Hal (2014) A Course in Machine Learning. http://ciml.info/

  • Hastie, Trevor, et al. The elements of statistical learning. Vol. 2. No. 1. New York: Springer, 2009.

  • John M. Chambers (1998) Programming with Data. Springer, New York. This is also called the “Green Book ”.

  • Langtangen, Hans Petter. Python scripting for computational science. Vol. 3. Berlin, Heidelberg and New York: Springer, 2006.

  • Pedregosa, Fabian, et al. "Scikit-learn: Machine learning in Python." The Journal of Machine Learning Research 12 (2011): 2825-2830.

  • McKinney, Wes. Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython. O'Reilly Media, 2012.

  • Spector, P. (2008). Data manipulation with R. New York: Springer.

  • Wickham, Hadley. "The split-apply-combine strategy for data analysis." Journal of Statistical Software 40.1 (2011): 1-29.

Text Analysis

  • Friedl, J. 2006. Mastering regular expressions. O'Reilly Media, Incorporated, 2006.

  • Gries, Stefan Th. Quantitative corpus linguistics with R: a practical introduction. Routledge, 2009.

  • Kuchling A.M. 2012. Regular Expressions HOWTO. Python Foundation. http://docs.python.org/2/howto/regex.html#regex-howto

  • Prakash B Pimpale. Natural Language Toolkit [NLTK] (CC 3.0 KBCS CDAC MUMBAI).

  • Russell, Matthew A. Mining the Social Web: Data Mining Facebook, Twitter, LinkedIn, Google+, GitHub, and More. " O'Reilly Media, Inc.", 2013.

  • Steven Bird, Ewan Klein, and Edward Loper. Natural Language Processing with Python, Analyzing Text with the Natural Language Toolkit. O'Reilly Media, 2009

  • Walker. R. 2012. Regular Expressions Will Stab You in the Back. http://tech.cueup.com/blog/2012/10/26/regular-expressions-will-stab-you-in-the-back/

Network Science