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 * [[http://www.ar-python.com/|Get started Arabic Tutorials]] Useful tools , tutorials and code samples.
 * [[http://www.afterhoursprogramming.com/tutorial/Python/Introduction/|After Hours Programming's Python Introduction]] Series of tutorials devoted to Python.
 * [[http://www.tutorialspoint.com/python/index.htm|Basic to Advanced Tutorial]] A good tutorial on Python especially for the beginners.
 * [[http://www.ar-python.com/|Get started Arabic Tutorials]] Useful tools , tutorials and code samples. Python 101 introduces the basic data types, and 201 covers particular tasks such as parsing text and writing unit tests.
 * [[http://code.google.com/edu/languages/google-python-class/|Google's Python Class]] - Google's Python tutorial for "people with a little bit of programming experience"
 * [[http://jwork.org/learn/doc/doku.php?id=python:start|Interactive tutorial on Python]] A tutorial for beginners with interactive examples.
 * [[http://stromberg.dnsalias.org/~dstromberg/Intro-to-Python/|Intro to Python]] - A Brief Presentation about Python mainly aimed at experienced programmers. Might be nice as a first pass over the language.
 * [[http://www.hetland.org/python/instant-python.php|Instant Python]] A minimal crash course by Magnus Lie Hetland.
 * [[http://lightbird.net/larks/|Lark's Tongue Guide to Python]] - This guide uses simple games to teach Python.
 * [[http://www.poromenos.org/tutorials/python?|Learn Python in 10 minutes]]
 * [[http://www.intuit-symbiosis.org/computing/?uid=9|Python 2 & 3 Quick-Guides]] A fast and efficient guide, with many examples, for quickly learning many tricks of Python.
 * [[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.
 * [[http://www.python-course.eu|Python Course]] - This online Python course is aiming at beginners and with advanced topics at experienced programmers as well.
 * [[http://www.itmaybeahack.com/homepage/books/python.html|Python for Programmers]] - for "Professional programmers who need to learn Python "
 * [[http://starship.python.net/crew/hinsen/|Python for Science]] Course material written by Konrad Hinsen for an introduction to Python aimed at biologists.
 * [[http://wiki.github.com/gregmalcolm/python_koans/|Python Koans]] Learn Python through TDD
 * [[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.worldcat.org/title/python-essential-reference/oclc/288985690|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://www.ar-python.com/116.html|Python one touch Arabic tutorials]].
 * [[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.
 * A basic [[http://programming-guides.com/python/|Python Tutorial]] that goes into some interesting features and examples.
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 * [[http://www.tutorialspoint.com/python/index.htm|Basic to Advanced Tutorial]] A good tutorial on Python especially for the beginners.
 * [[http://jwork.org/learn/doc/doku.php?id=python:start|Interactive tutorial on Python]] A tutorial for beginners with interactive examples.
 * [[http://www.worldcat.org/title/python-essential-reference/oclc/288985690|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.
 * [[ComparingTypes|ComparingTypes]] Quick look at some common programming types for python and other languages
 * [[http://www.swc.scipy.org/|Software Carpentry]]: lectures aimed at scientists and engineers.
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 * [[http://www.ar-python.com/116.html|Python one touch Arabic tutorials]].
 * [[http://www.hetland.org/python/instant-python.php|Instant Python]] A minimal crash course by Magnus Lie Hetland.
 * [[http://code.google.com/edu/languages/google-python-class/|Google's Python Class]] - Google's Python tutorial for "people with a little bit of programming experience"
 * [[http://www.intuit-symbiosis.org/computing/?uid=9|Python 2 & 3 Quick-Guides]] A fast and efficient guide, with many examples, for quickly learning many tricks of Python.
 * [[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://www.poromenos.org/tutorials/python?|Learn Python in 10 minutes]]
 * [[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.
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 * [[ComparingTypes|ComparingTypes]] A quick look at some common programming types for python and other languages
 * [[http://www.itmaybeahack.com/homepage/books/python.html|Python for Programmers]] - for "Professional programmers who need to learn Python "
 * A basic [[http://programming-guides.com/python/|Python Tutorial]] that goes into some interesting features and examples.
 * [[http://wiki.github.com/gregmalcolm/python_koans/|Python Koans]] Learn Python through TDD
 * [[http://stromberg.dnsalias.org/~dstromberg/Intro-to-Python/|Intro to Python]] - A Brief Presentation about Python mainly aimed at experienced programmers. Might be nice as a first pass over the language.
 * [[http://www.python-course.eu|Python Course]] - This online Python course is aiming at beginners and with advanced topics at experienced programmers as well.
 * [[http://lightbird.net/larks/|Lark's Tongue Guide to Python]] - This guide uses simple games to teach Python

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, etc.). Also of potential interest are such related Beginners Guides as BeginnersGuide/Overview and BeginnersGuide/NonProgrammers, and the tips in MovingToPythonFromOtherLanguages.

Interactive Tools and Lessons

Python Video Tutorials

BeginnersGuide/Programmers (last edited 2024-03-03 16:02:54 by MatsWichmann)

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