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Python Tutorials – Data Analysis

Tutorial(s)

TUTORIAL 1 – Data Analysis with Python 3

(last updated: February 2017 – recompiled April 2019)

Hands-on series. (same content, different formats)

  • Python Data Analysis I – (HTMLPDF, PDF (biocStyle), DOCX)
    • short Hand-out (rendered ipython jupyter notebook)
  • Python Data Analysis II – (HTMLPDF, PDF (biocStyle), DOCX)
    • short Hand-out (rendered ipython jupyter notebook)
  • Python Data Analysis III – (HTMLPDF, PDF (biocStyle), DOCX)
    • short Hand-out (rendered ipython jupyter notebook)
  • Python Data Analysis IV – (HTMLPDF, PDF (biocStyle), DOCX)
    • short Hand-out (rendered ipython jupyter notebook)
  • Python Data Analysis IV_2 (continued)
    • short Hand-out (rendered ipython jupyter notebook)

Note: The dataset used is also archived locally as python-novice-inflammation-data.zip

REFERENCES:

From: https://gvanrossum.github.io//Publications.html

  • Guido van Rossum: Scripting the Web with Python. In “Scripting Languages: Automating the Web”, World Wide Web Journal, Volume 2, Issue 2, Spring 1997, O’Reilly.
  • Aaron Watters, Guido van Rossum, James C. Ahlstrom: Internet Programming with Python. MIS Press/Henry Holt publishers, New York, 1996.
  • Guido van Rossum: Python Library Reference. May 1995. CWI Report CS-R9524. Guido van Rossum: Python Reference Manual. May 1995. CWI Report CS-R9525.
  • Guido van Rossum: Python Tutorial. May 1995. CWI Report CS-R9526.
  • Guido van Rossum: Extending and Embedding the Python Interpreter. May 1995. CWI Report CS-R9527.
  • Guido van Rossum, Jelke de Boer: Linking a Stub Generator (AIL) to a Prototyping Language (Python). Spring 1991 EurOpen Conference Proceedings (May 20-24, 1991) Tromso, Norway.