Python resources

• Python: https://www.python.org/downloads/ Use 3.[something]
• NLTK: Installing NLTK itself: http://www.nltk.org/install.html You also need the NLTK data, see http://www.nltk.org/data.html
• Jupyter notebooks: https://jupyter.org/
  
• pandas: https://pandas.pydata.org/
• numpy: https://numpy.org/
• matplotlib: https://matplotlib.org/
  

Learning Python:

• How To Think Like A Computer Scientist is a very good and accessible online Python textbook.
  (Caution: It uses Python 2 rather than Python 3. One main difference you will note is that they omit the () around the print() command.)
  
• A Python tutorial

Fun with statistics

• Language Log: a language and linguistics blog written by Mark Liberman and others
  
• Bad science: Ben Goldacre's blog with lots of illustrations of what not to do in statistics
• xkcd: A webcomic of romance, sarcasm, math, and language.
• And then there's the RXKCD package.
• Pitfalls to avoid: Simmons J., Nelson L., Simonsohn U. (2011) "False-Positive Psychology: Undisclosed Flexibility in Data Collection and Analysis Allow Presenting Anything as Significant", Psychological Science, V22(11), pp.1359-1366