Python tutorial with an emphasis on data analysis

Format

A sequence of [Python] modules that demonstrate all of the necessary machinery to accomplish common data analysis tasks. The modules are named in the order in which we'll cover them (01_descriptive_name.py, 02_descriptive_name.py, ... N_descriptive_name.py). The tasks are named taskN.py in the corresponding order.

Free software to download and install

Windows

1. Java 7 SE Runtime Environment for end users: install this first
2. Python 2.7.6: install this second; ActivePython 2.7.* is also fine
3. PyCharm Community Edition: install this third

OS X or Linux

1. PyCharm Community Edition

Other tutorials (in order of preference)

1. Learn Python the Hard Way
2. Dive into Python
3. Official Python tutorial
   • Numbers, strings, and lists
   • More on lists
   • Control flow
   • Functions

References

• Python standard library reference
  • Numeric types
  • dict
  • list
  • string
  • Built-in functions
  • Comparison
• Python language reference
• Python package index
• Python 2.6 cheat sheet
• Python pocket reference (book)

Relevant libraries

• scipy, numpy, Matplotlib
• Numeric and scientific libraries
• Sandman

Contact

minorgordon.net