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#acl All:read
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If you've never programmed before, the tutorials on this page are recommended for you; they don't assume that you have previous experience. If you have programming experience, also check out the [[BeginnersGuide/Programmers]] page.
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== Books ==
Each of these books can be purchased online and is also available as a completely free website.
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If you've never programmed before, the tutorials on this page are
recommended for you; they don't assume that you have previous
experience.
/* please keep this list alphabetized */
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 * '''Automate the Boring Stuff with Python - Practical Programming for Total Beginners''' by ''Al Sweigart'' is "written for office workers, students, administrators, and anyone who uses a computer to learn how to code small, practical programs to automate tasks on their computer." ||[[https://automatetheboringstuff.com/|website]] ||[[http://www.amazon.com/gp/product/1593275994/|print version]] ||
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If you have previous programming experience,
the list of programmer-oriented tutorials on the ["BeginnersGuide/Programmers"] page
may get you started more quickly, but the tutorials on this page
may still be helpful.
 * '''How To Think Like a Computer Scientist''' is a classic open-source book by ''Allen Downey'' with contributions from ''Jeffrey Elkner'' and ''Chris Meyers''. It was updated to Python 3 by ''Peter Wentworth.'' ||[[http://openbookproject.net/thinkcs/python/english3e/|website]] ||[[http://openbookproject.net/thinkcs/python/english3e/|print version]] ||
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 * '''Making Games with Python & Pygame''' by ''Al Sweigart'' introduces the Pygame framework for novices and intermediate programmers to make graphical games. ||[[http://inventwithpython.com/pygame|website]] ||[[http://www.amazon.com/Making-Games-Python-Pygame-Sweigart/dp/1469901730?ie=UTF8&tag=playwithpyth-20&linkCode=as2&camp=1789&creative=9325&creativeASIN=0982106017|print version]] ||
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== Interactive Courses ==
These sites give you instant feedback on programming problems that you can solve in your browser.
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  * [http://www.freenetpages.co.uk/hp/alan.gauld/ Learning to Program]
  An introduction to programming for those
  who have never programmed before, by Alan Gauld. It introduces
  several programming languages but has a strong emphasis on Python.
/* please keep this list alphabetized */
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  * [http://www.byteofpython.info/ A Byte of Python], by Swaroop C.H., is also an introductory text
  for people with no previous programming experience.
 * [[http://www.checkio.org|CheckiO]] is a gamified website containing programming tasks that can be solved in Python 3.
 * [[https://www.codecademy.com/search?query=python|Python on Codecademy]]
 * [[https://codetheblocks.com|Code the blocks]] combines Python programming with a 3D environment where you "place blocks" and construct structures. It also comes with Python tutorials that teach you how to create progressively elaborate 3D structures.
 * [[http://cscircles.cemc.uwaterloo.ca/|Computer Science Circles]] has 30 lessons, 100 exercises, and a message system where you can ask for help. Teachers can use it with their students. It is also available in Dutch, French, German and Lithuanian.
 * [[https://www.datacamp.com/courses/intro-to-python-for-data-science|DataCamp Python Tutorial]] Unlike most other Python tutorials this 4 hour tutorial by [[https://www.datacamp.com/|DataCamp]] focuses on Python specifically for Data Science. It has 57 interactive exercises and 11 videos.
 * [[https://finxter.com|Finxter]] - How good are your Python skills? Test and Training with >300 hand-picked Python puzzles.
 * [[http://interactivepython.org/runestone/static/thinkcspy/index.html|How to Think Like a Computer Scientist: Interactive Edition]] is an interactive reimagination of Elkner, Downey and Meyer's book with visualizations and audio explanations.
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== Resources for Younger Learners ==
(This section was previously called "K-12 Oriented", K-12 being a USA-centric term which refers to the primary and secondary educational stages; through level 3 on the UNESCO ISCED education levels list.)
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  * [http://hkn.eecs.berkeley.edu/~dyoo/python/idle_intro/index.html One Day of IDLE Toying] /* please keep this list alphabetized */
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  A very gentle introduction to
  the IDLE development environment that comes with Python.
  This tutorial by Danny Yoo has been translated into nine different languages.
 * [[http://www.thinkful.com/learn/python-programming-fundamentals/|Build a "Pypet"]] Learn programming fundamentals in Python while building a tamagotchi style "Pypet" by Tatiana Tylosky.
 * [[http://gvr.sourceforge.net|Guido van Robot]] A teaching tool in which students write simple programs using a Python-like language to control a simulated robot. Field-tested at Yorktown High School, the project includes a lesson plan.
 * [[http://pythonturtle.org|PythonTurtle]] A learning environment for Python suitable for beginners and children, inspired by Logo. Geared mainly towards children, but known to be successful with adults as well.
 * [[http://www.letslearnpython.com/learn/|Young Coders tutorial]] This is the full text of the tutorial taught annually at PyCon (North America), with examples and exercises throughout. This tutorial starts with basic skills and builds to working with complex logic and games. Appropriate for ages 10 and up, including adult beginners.
 * [[https://www.webucator.com/self-paced-training/index.cfm#!?courseId=PYT111|Webucator's self-paced Python 3 course]] free for homeschoolers and other students (use HOMESCHOOL as the coupon code when checking out). This course is appropriate for students 13 and up. '''From our experience, these students can learn at least as quickly as adults new to programming.'''
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  * [http://www.ibiblio.org/obp/thinkCSpy/ How to Think Like a Computer Scientist] == Tutorials and Websites ==
/* please keep this list alphabetized */
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  Allen Downey's open source textbook has a
  Python version, written with Jeff Elkner. It's also available in book form.
 * [[http://swaroopch.com/notes/python/|A Byte of Python]], by Swaroop C.H., is also an introductory text for people with no previous programming experience.
 * [[http://www.afterhoursprogramming.com/tutorial/Python/Overview/|After Hours Programming Python 3 Tutorial]]
 * [[http://askpython.com/|Ask Python]] Absolute Beginners Python Tutorial
 * [[https://classpert.com/python-programming|Classpert - Python]] - A large collection of free and paid Python online courses, from a wide range of providers.
 * [[https://hackr.io/tutorials/learn-python|Hackr.io - Python]]: Programming community recommended best Python tutorials and courses
 * [[http://anh.cs.luc.edu/handsonPythonTutorial/|Hands-on Python Tutorial]] Beginners' Python, graphics, and simple client/server introduction, with videos
 * [[http://www.alan-g.me.uk|Learning to Program]] An introduction to programming for those who have never programmed before, by Alan Gauld. It introduces several programming languages but has a strong emphasis on Python. (Python 2 and 3)
 * [[http://letsfindcourse.com/python|Letsfindcourse - Python]]: Best Python tutorials and courses recommended by experts.
 * [[http://en.wikibooks.org/wiki/Non-Programmer's_Tutorial_for_Python_3.0|The Wikibooks Non-Programmer's Tutorial for Python by Josh Cogliati]]
 * [[https://overiq.com/python/3.4/intro-to-python/|Learn Python]] An Introductory yet in-depth tutorial for Python beginners.
 * The [[http://pythontips.com/|Python tips]] blog includes Python tips and tutorials for beginners and professional programmers.
 * [[http://docs.python.org/py3k/tutorial/|Python Tutorial in Python's documentation set]]. It's not written with non-programmers in mind, but it will give you an idea of the language's flavor and style.
 * [[http://www.python-course.eu/python3_course.php|The Python-Course.eu's extensive tutorial for complete beginners]], with lots of illustrations.
 * [[https://www.pythonspot.com|Pythonspot Tutorials]] Python tutorials.
 * [[http://thepythonguru.com/|The Python Guru]] A beginner friendly guide for aspiring programmers.
 * [[https://gitconnected.com/learn/python|Top Courses to Learn Python - gitconnected.com]] Python tutorials submitted and ranked by Python developers with the best rising to the top
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  * [http://www.hetland.org/python/instant-hacking.php Instant Hacking] == Tutorials for Scientific Audiences ==
/* please keep this list alphabetized */ These websites are written in support of science courses, but are general enough that anyone can learn from them.
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  A minimal crash course by Magnus Lie Hetland
  that's an excellent starting point.
 * [[http://www.onlamp.com/pub/a/python/2002/10/17/biopython.html|Beginning Python for Bioinformatics]] by Patrick O'Brien. An introduction to Python aimed at biologists that introduces the PyCrust shell and Python's basic data types.
 * [[http://illustratedtheoryofnumbers.com/prog.html|Python for Number Theory]] is a series of Python notebooks (for Jupyter) for applications to number theory and cryptography. They assume no prior programming experience, and are suitable for someone learning elementary number theory at the same time. They conclude with an introduction to primality testing and cryptography (Diffie-Hellman, RSA).
 * [[http://www.pythonforbiologists.com|Python for biologists]]
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  * Free Python video lectures are also available as a course titled ["Intro to programming with Python and Tkinter"], Unix users can view the video using mplayer once you have downloaded the files. Windows users will need to have a DivX player, available from http://www.divx.com/divx/windows/. (One user reports success viewing the videos on OS X 10.4 using the VLC player -- http://www.videolan.org/) == Videos ==
/* please keep this list alphabetized */
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  * [http://en.wikibooks.org/wiki/Non-Programmer%27s_Tutorial_for_Python/Contents A Non-Programmer's Tutorial for Python] by Josh Cogliati. Also available from [http://www.andamooka.org/reader.pl?section=easytut Andamooka].  * [[http://www.toonzcat.com/progart.html|Python 3 Beginner Video Tutorials]]
 * [[https://youtu.be/uCzFUKWtzgA?list=PLboXykqtm8dy_DNg1NZiS08Dnyj35PWXw|Python Programming Tutorials for Beginners]]: Installation, IDE, variables, functions, strings, lists, OOP
 * The [[http://young-programmers.blogspot.com/search/label/python|Young Programmers Podcast]] contains video lessons on Python, Pygame, Jython, Scratch, Alice, Java and Scala.
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  * [http://www.pentangle.net/python/handbook/ Handbook of the Physics Computing Course] == Tools ==
 * [[http://thonny.org|Thonny, Python IDE for beginners]]
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  Also available in various forms at the
  author's [http://www.pentangle.net/python/ Python in Education] page, this is a
  preliminary course handbook for 1st-year university students with no
  computing experience. This course material is still preliminary and
  assumes some high school-level maths. It does
  not cover object-oriented programming or graphical applications.
{{{#!wiki comment/dashed
Dead Links / Broken Sites
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  * [http://www.onlamp.com/pub/a/python/2002/10/17/biopython.html Beginning Python for Bioinformatics] by Patrick O'Brien. An
  introduction to Python aimed at biologists that introduces the PyCrust
  shell and Python's basic data types.
If these sites come back to life, feel free to move them back up. Perhaps after 6 months it would be reasonable to delete them.
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  * Two courses from the Pasteur Institute are aimed at biologists but
  are useful to anyone wanting to learn Python. Both tutorials are
  quite extensive, covering data types, object-oriented programming,
  files, and even design patterns.
 * Free Python video lectures are also available as a course titled [[Intro to programming with Python and Tkinter]], Unix users can view the video using mplayer once you have downloaded the files. Windows users will need to have a DivX player, available from http://www.divx.com/divx/windows/. (One user reports success viewing the videos on OS X 10.4 using the VLC player -- http://www.videolan.org/) -- ''1/3/14: This is not a dead link but it is a dead option. These videos have been dropped from Blip.tv so the link gets you nothing.''
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    * [http://www.pasteur.fr/formation/infobio/python/ Introduction to Programming using Python] is for people completely new to programming.

    * [http://www.pasteur.fr/recherche/unites/sis/formation/python/ Bioinformatics course in Python]
  focuses on preparing people with some programming background for using the
  [http://www.biopython.org Biopython] modules.

  * [http://docs.python.org/tut/ Python Tutorial]

  This tutorial is part of
  Python's documentation set and is updated with each new release. It's
  not written with non-programmers in mind, but skimming through it will
  give you an idea of the language's flavor and style.



== For Younger Students ==


    * [http://www.livewires.org.uk/python/ LiveWires]

    A set of Python lessons used during 1999, 2000, 2001 and 2002
    children's summer camps in Britain by Richard Crook, Gareth McCaughan,
    Mark White, and Rhodri James. Aimed at children 12-15 years old.

    * [http://gvr.sourceforge.net Guido van Robot]

    A teaching tool in which students write simple programs using
    a Python-like language to control a simulated robot.
    Field-tested at Yorktown High School, the project includes a lesson plan.
 * [[http://www.pasteur.fr/recherche/unites/sis/formation/python/|Bioinformatics course in Python]] focuses on preparing people with some programming background for using the [[http://www.biopython.org|Biopython]] modules.
 * [[http://www.khanacademy.org/#computer-science|Khan Academy computer science]] (Python 2, not actively maintained) -- ''20/4/14: This link now leads to the Khan Academy sign-on page. Python material seems to have been disappeared from Khan Academy.''
 * [[http://www.talk-it.biz/tutorial-categories/python/|Python tutorials on TalkIT]] (Python 3) ''7/10/15: it is almost all behind a paywall''
 * [[http://www.livewires.org.uk/python/|LiveWires]] A set of Python lessons used during 1999, 2000, 2001 and 2002 children's summer camps in Britain by Richard Crook, Gareth McCaughan, Mark White, and Rhodri James. Aimed at children 12-15 years old. ''7/10/15: Site not up when clicked.''
 * [[http://python.lycee.free.fr/|Débuter avec Python au lycée]] A french tutorial intended to secondary school pupils.
}}}
----
CategoryPythonInEducation CategoryPythonInEducation

Python for Non-Programmers

If you've never programmed before, the tutorials on this page are recommended for you; they don't assume that you have previous experience. If you have programming experience, also check out the BeginnersGuide/Programmers page.

Books

Each of these books can be purchased online and is also available as a completely free website.

  • Automate the Boring Stuff with Python - Practical Programming for Total Beginners by Al Sweigart is "written for office workers, students, administrators, and anyone who uses a computer to learn how to code small, practical programs to automate tasks on their computer." ||website ||print version ||

  • How To Think Like a Computer Scientist is a classic open-source book by Allen Downey with contributions from Jeffrey Elkner and Chris Meyers. It was updated to Python 3 by Peter Wentworth. ||website ||print version ||

  • Making Games with Python & Pygame by Al Sweigart introduces the Pygame framework for novices and intermediate programmers to make graphical games. ||website ||print version ||

Interactive Courses

These sites give you instant feedback on programming problems that you can solve in your browser.

  • CheckiO is a gamified website containing programming tasks that can be solved in Python 3.

  • Python on Codecademy

  • Code the blocks combines Python programming with a 3D environment where you "place blocks" and construct structures. It also comes with Python tutorials that teach you how to create progressively elaborate 3D structures.

  • Computer Science Circles has 30 lessons, 100 exercises, and a message system where you can ask for help. Teachers can use it with their students. It is also available in Dutch, French, German and Lithuanian.

  • DataCamp Python Tutorial Unlike most other Python tutorials this 4 hour tutorial by DataCamp focuses on Python specifically for Data Science. It has 57 interactive exercises and 11 videos.

  • Finxter - How good are your Python skills? Test and Training with >300 hand-picked Python puzzles.

  • How to Think Like a Computer Scientist: Interactive Edition is an interactive reimagination of Elkner, Downey and Meyer's book with visualizations and audio explanations.

Resources for Younger Learners

(This section was previously called "K-12 Oriented", K-12 being a USA-centric term which refers to the primary and secondary educational stages; through level 3 on the UNESCO ISCED education levels list.)

  • Build a "Pypet" Learn programming fundamentals in Python while building a tamagotchi style "Pypet" by Tatiana Tylosky.

  • Guido van Robot A teaching tool in which students write simple programs using a Python-like language to control a simulated robot. Field-tested at Yorktown High School, the project includes a lesson plan.

  • PythonTurtle A learning environment for Python suitable for beginners and children, inspired by Logo. Geared mainly towards children, but known to be successful with adults as well.

  • Young Coders tutorial This is the full text of the tutorial taught annually at PyCon (North America), with examples and exercises throughout. This tutorial starts with basic skills and builds to working with complex logic and games. Appropriate for ages 10 and up, including adult beginners.

  • Webucator's self-paced Python 3 course free for homeschoolers and other students (use HOMESCHOOL as the coupon code when checking out). This course is appropriate for students 13 and up. From our experience, these students can learn at least as quickly as adults new to programming.

Tutorials and Websites

Tutorials for Scientific Audiences

These websites are written in support of science courses, but are general enough that anyone can learn from them.

  • Beginning Python for Bioinformatics by Patrick O'Brien. An introduction to Python aimed at biologists that introduces the PyCrust shell and Python's basic data types.

  • Python for Number Theory is a series of Python notebooks (for Jupyter) for applications to number theory and cryptography. They assume no prior programming experience, and are suitable for someone learning elementary number theory at the same time. They conclude with an introduction to primality testing and cryptography (Diffie-Hellman, RSA).

  • Python for biologists

Videos

Tools


CategoryPythonInEducation CategoryPythonInEducation

BeginnersGuide/NonProgrammers (last edited 2023-03-03 16:42:03 by AdamEmery)

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