Differences between revisions 4 and 99 (spanning 95 versions)
Revision 4 as of 2005-06-01 06:20:28
Size: 2134
Comment:
Revision 99 as of 2013-09-16 19:10:57
Size: 7215
Comment: Alphabetized
Deletions are marked like this. Additions are marked like this.
Line 3: Line 3:
The tutorials on this page
are aimed at people who have previous experience
with other programming languages (C, Perl, Lisp, Visual Basic).
Line 7: Line 4:
    * [http://www.python.org/doc/current/tut/ Python Tutorial] 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|BeginnersGuide/Overview]] and [[BeginnersGuide/NonProgrammers|BeginnersGuide/NonProgrammers]], and the tips in [[MovingToPythonFromOtherLanguages|MovingToPythonFromOtherLanguages]].
Line 9: Line 6:
    This tutorial is part of Python's documentation set and is updated with
    each new release.
Line 12: Line 7:
    * [http://diveintopython.org/ Dive Into Python] == Books, Websites, Tutorials (non-interactive) ==
 * [[http://www.afterhoursprogramming.com/tutorial/Python/Introduction/|After Hours Programming's Python Introduction]] A beginners introduction into Python.
 * [[http://www.tutorialspoint.com/python/index.htm|Basic to Advanced Tutorial]] A good tutorial on Python especially for the beginners.
 * [[http://freepythontips.wordpress.com|Free python tips and tutorials]] Python tips and tutorials for beginners and professional programmers.
 * [[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.
 * [[http://docs.python.org/tut/|Python Tutorial]] This tutorial is part of Python's documentation set and is updated with each new release.
 * [[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.
 * [[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.
 * You can find a variety of Python tutorials on [[http://www.codeteacher.com/|Code Teacher]].
Line 14: Line 36:
    A fine tutorial by Mark Pilgrim. == Interactive Tools and Lessons ==
Line 16: Line 38:
    * [http://islab.cs.uchicago.edu/python/ Python Essential Reference] (book)  * [[http://www.learnstreet.com|LearnStreet: Free online Python tutorials and practice exercises]]
 * [[http://interactivepython.org/runestone/static/pythonds/index.html|Problem Solving with Algorithms and Data Structures using Python]] (second-level course)
 * [[http://cscircles.cemc.uwaterloo.ca|Computer Science Circles]]
 * [[http://interactivepython.org/courselib/static/thinkcspy/index.html|How to Think Like a Computer Scientist, Interactive Edition]]
 * [[http://people.csail.mit.edu/pgbovine/python/tutor.html|Python visualizer tool]]
 * [[http://jwork.org/learn/|Interactive tutorials for scientific programming using Python]]
Line 18: Line 45:
    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.
Line 22: Line 46:
    * [http://www.hetland.org/python/instant-python.php Instant Python] == Python Video Tutorials ==
Line 24: Line 48:
    A minimal crash course by Magnus Lie Hetland.
Line 26: Line 49:
    * [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.ifi.uio.no/in228/lecsplit/ Scripting course by Hans Petter Langtangen]

    A CS course on scripting that spans a
    wide range: why scripting, Perl vs. Python, intro to Python, regular
    expressions, Tkinter, CGI.

    * [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.udemy.com/learning-python-not-the-snake/|uDemy's - Learn Python (for Beginners)]]
 * [[https://code.google.com/edu/languages/google-python-class/|Google's Python class]]
 * [[http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-00-introduction-to-computer-science-and-programming-fall-2008/?r=iTunes|MIT's 6.00 Introduction to Computer Science and Programming]] (in Python)
 * [[http://www.thenewboston.com/?cat=40]|TheNewBoston Python Tutorials]] Recommended for novice programmers.
 * [[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|ShowMeDo]], includes articles on 'Python Development Environments' and 'Python Under-The-Hood'
 * [[http://showmedo.com/videos/python|ShowMeDo.com/videos/Python]]: Over 240 Python programming screencasts, most are free, most are a part of [[http://showmedo.com/club|Club ShowMeDo]], all will teach you about Python programming:
  * [[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 (part of the Club)
  * [[http://showmedo.com/videos/series?name=pythonOzsvaldPyNewbieSeries|Python Development on XP]] (9 videos, part of the Club) 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)
 * The [[http://www.khanacademy.org/#computer-science|Khan Academy computer science]] playlist teaches 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.

Books, Websites, Tutorials (non-interactive)

Interactive Tools and Lessons

Python Video Tutorials

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

Unable to edit the page? See the FrontPage for instructions.