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31-Oct-2006 A Python Tutorial. Title. Center for Coastal and Ocean Mapping NOAA/UNH Joint Hydrographic Center. Kurt Schwehr 31 Oct 2006. http://docs.python.org/tut/. Where is python on my machine?. Fink for unix software. Fink Commander. Unstable packages are generally pretty stable.

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  1. 31-Oct-2006 A Python Tutorial Title Center for Coastal and Ocean Mapping NOAA/UNH Joint Hydrographic Center Kurt Schwehr 31 Oct 2006

  2. http://docs.python.org/tut/

  3. Where is python on my machine?

  4. Fink for unix software

  5. Fink Commander

  6. Unstable packages are generally pretty stable

  7. Emacs Cheat Sheet

  8. Setting up ~/.emacs

  9. Getting started

  10. Strings

  11. Getting help with the ‘tab’ key

  12. More string operations

  13. Lists are created with [ ]

  14. The math module

  15. Getting help on functions

  16. More help

  17. from math import *

  18. The Decimal module

  19. Converting between strings and numbers

  20. If tests and indentation matters

  21. for loops

  22. Reading a file Adding a comma prevents the extra new line

  23. Reading numbers from a file

  24. A quick intro to time

  25. Getting to the web documentation

  26. Writing data to a file

  27. Old school - gnuplot

  28. Gnuplot in 3D

  29. Saving gnuplot to gif or pdf

  30. Writing a python file (aka module) • env finds python in your path • chmod +x dump.py • ./dump.py

  31. Handling programs in a better way • __name__ is set to main if the file is being executed

  32. Making our code a proper function

  33. Function parameters can be specified by name

  34. Use this function from outside the file • Whoops - no documentation!

  35. Often it is good to give a parameter a default

  36. Add some ‘doc strings’

  37. Documentation as seen from ipython

  38. Epydoc is Kurt’s favorite way to document python code • Epydoc imports your file and creates html documentation

  39. Here is the initial edydoc page • Nice, but could be better • Use markups in the doc string to tell epydoc more

  40. Adding more to the file

  41. Document the function

  42. Add command line options

  43. Plotting data with Gnuplot-py

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