Python for Programmers

The tutorials on this page are aimed at people who have previous experience with other programming languages (C, Perl, Lisp, Visual Basic).

• [http://docs.python.org/tut/ Python Tutorial] This tutorial is part of Python's documentation set and is updated with each new release.

• [http://diveintopython.org/ Dive Into Python] A fine tutorial by Mark Pilgrim.

• [http://www.amazon.com/exec/obidos/tg/sim-explorer/explore-items/-/0735710910/0/101/1/none/purchase/ref%3Dpd%5Fsxp%5Fr0/002-0605932-8839237 Python Essential Reference] (book)

  If you want a highly compressed K&R-style 'just the facts' overview, David Beazley's "Python Essential Reference" covers practically all of the language in about a hundred pages.

• [http://en.wikibooks.org/wiki/Python_Programming Wikibook:Python Programming]

• [http://en.wikiversity.org/wiki/Topic:Python Wikiversity:Python] The Wiki(anything) information about Python.

• [http://www.hetland.org/python/instant-python.php Instant Python] A minimal crash course by Magnus Lie Hetland.

• [http://www.linuxjournal.com/lj-issues/issue73/3946.html Python Programming for Beginners] A short introduction to writing command-line applications in Python by Jacek Artymiak.

• [http://www.rexx.com/~dkuhlman/python_101/python_101.html Python 101 - Beginning Python] and [http://www.rexx.com/~dkuhlman/python_201/python_201.html Python 201 - (Slightly) Advanced Python] Two self-training courses from Dave Kuhlman. Python 101 introduces the basic data types, and 201 covers particular tasks such as parsing text and writing unit tests.

• [http://www.wag.caltech.edu/home/rpm/python_course/ Python Short Course] A set of course slides by Richard P. Muller of Caltech that are aimed at scientific users. For example, the first example is a script to process output from a quantum chemistry simulation.

• [http://starship.python.net/crew/hinsen/ Python for Science] Course material written by Konrad Hinsen for an introduction to Python aimed at biologists.

• [http://www.swc.scipy.org/ Software Carpentry]: lectures aimed at scientists and engineers.

• You can find a variety of Python tutorials on [http://www.codeteacher.com Code Teacher].

• [http://blog.showmedo.com/2007/03/22/get-going-with-python-1-getting-a-feel-for-the-language/ 'Getting started with Python'] blog series at ShowMeDo, includes articles on 'Python Development Environments' and 'Python Under-The-Hood'

• [http://showmedo.com/videos/python ShowMeDo.com/videos/Python]: Over 90 ShowMeDo Python programming videos (almost all are free and all are made by Python experts). Topics include:

  • [http://showmedo.com/videos/series?name=IwrOgqPc9 Python 101 - easygui and csv] - Aimed at new/intermediate Pythonistas showing how to build a full application in Python (pay-to-own)

  • [http://showmedo.com/videos/series?name=pythonOzsvaldPyNewbieSeries Python Newbies on XP] (9 videos, pay-to-own) Aimed at new/intermediate Pythonistas

  • [http://showmedo.com/videos/series?name=pythonOzsvaldIntroToPyResourcesSeries A Guide to Python Resources on the Web] (2 videos)

  • [http://showmedo.com/videos/series?name=pythonHollandIntroToPythonSeries_german Einführung in die Programmierung mit Python] (14 videos - German)

  • [http://showmedo.com/videos/series?name=PythonWxPythonBeginnersSeries Python GUI Programming with wxPython] (3 videos)

• [attachment:Cpp2Python.pdf Cpp2Python.pdf]: transcription of a posting to comp.lang.python describing features comparable between C++ and Python (as well as a general exhortation to "quit talking and start doing")