Differences between revisions 85 and 143 (spanning 58 versions)
Revision 85 as of 2015-10-09 06:22:12
Size: 9714
Editor: AnttiHaapala
Comment:
Revision 143 as of 2022-11-02 23:59:31
Size: 14013
Editor: SonnyLi
Comment: Add to the list in alphabetical order! Thanks!
Deletions are marked like this. Additions are marked like this.
Line 5: Line 5:
Some of these books can be bought in hard copy, but are also available online for free. Each of these books can be purchased online but is also available as free textual, website, or video content.
Line 8: Line 9:
 * [[https://automatetheboringstuff.com/|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" (Python 3).
 * [[http://openbookproject.net/thinkcs/python/english2e/|How to Think Like a Computer Scientist (2nd ed.)]] by Elkner, Downey, and Meyers is an open-source book. (Python 2)
 * [[http://openbookproject.net/thinkcs/python/english3e/|How to Think Like a Computer Scientist - Learning with Python 3 (Rhodes Local Edition)]] by Wentworth, Elkner, Downey, and Meyers is an edition of ''How to Think Like a Computer Scientist'' for Python 3.
 * [[http://inventwithpython.com/pygame|Making Games with Python & Pygame]] by Al Sweigart (Python 3) introduces the Pygame framework for novices and intermediate programmers to make graphical games. The same author has written [[http://inventwithpython.com/bookshelf/|many other excellent free books]]
 * '''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]] ||

 * '''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]] ||

 * '''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]] ||

 * '''Python One-Liners''' by ''Christian Mayer'' teaches you how to read and write "one-liners": concise statements of useful functionality packed into a single line of code. ||[[https://pythononeliners.com/|website with free one-liner explainer videos]] ||[[https://www.amazon.com/gp/product/B07ZY7XMX8|print version]] ||

 * '''Think Python''' by ''Allen B. Downey'' teaches you how to think like a computer scientist. ||[[http://greenteapress.com/thinkpython/html/index.html|website]] ||[[https://www.amazon.com/Think-Python-Like-Computer-Scientist/dp/1491939362/|print version]] ||

You can find many free Python books online. For example, check out [[https://blog.finxter.com/free-python-books/|this article with 101 free Python books]].
Line 18: Line 26:
 * [[http://www.checkio.org|CheckiO]] is a gamified website containing programming tasks that can be solved in either Python 2 or 3.
 * [[http://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. (Python 3)
 * [[http://interactivepython.org/runestone/static/thinkcspy/index.html|How to Think Like a Computer Scientist: Interactive Edition (Python 3.x)]] is an interactive reimagination of Elkner, Downey and Meyer's book with visualizations and audio explanations.
 * [[http://www.codecademy.com/tracks/python|Python on Codecademy]] (Python 2)
 * [[https://python.land/python-tutorial|A beginner-friendly and free Python tutorial]] with interactive code examples, explaining the Python language in an easy-to-understand way.
Line 23: Line 28:
== K-12 Oriented (for Children) ==  * [[https://programiz.pro/learn/master-python|A beginner-friendly Python course]] that teaches to learn to code through bite-size lessons, quizzes and 100+ challenges.

 * [[http://www.checkio.org|CheckiO]] is a gamified website containing programming tasks that can be solved in Python 3.

 * [[https://www.codedex.io|Codédex]] is a learn to code platform for K-12 and college students.

 * [[https://www.codecademy.com/search?query=python|Codecademy (]]Python)

 * [[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.

 * [[https://codevisionz.com/learn-python-programming/|Codevisionz Python]] 10+ hrs of Python learning material - Learn common programming concepts through code examples, quizzes, and challenges

 * [[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.

 * [[https://hackinscience.org|HackInScience]] - 50+ Python exercises on a free, adless, simple, and open-source platform.

 * [[https://runestone.academy/ns/books/published/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.
 
 * [[https://www.learnpython.org/|LearnPython]] is an interactive Python tutorial that is suitable for absolute beginners.

== 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.)
Line 26: Line 57:
 * [[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://www.thinkful.com/learn/python-programming-fundamentals/|Build a "Pypet"]] Learn programming fundamentals in Python while building a Tamagotchi style "Pypet" by Tatiana Tylosky.
Line 28: Line 60:

 * [[http://jasonrbriggs.com/python-for-kids/index.html|Python for Kids]] by Jason R Briggs. Book with sample code and puzzles.
Line 29: Line 64:

 * [[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.'''
Line 33: Line 72:
 * [[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. (Python 3)
 * [[http://www.afterhoursprogramming.com/tutorial/Python/Overview/|After Hours Programming Python 3 Tutorial]] (Python 3)
 * [[http://askpython.com/|Ask Python]] Absolute Beginners Python Tutorial (Python 3)
 * [[http://hetland.org/writing/instant-hacking.html|Instant Hacking]] A minimal crash course by Magnus Lie Hetland that's an excellent starting point. (Python 2)
 * [[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)
 * The Wikibooks Non-Programmer's Tutorial for Python by Josh Cogliati is available for both [[http://en.wikibooks.org/wiki/Non-Programmer's_Tutorial_for_Python_2.6|Python 2]] and [[http://en.wikibooks.org/wiki/Non-Programmer's_Tutorial_for_Python_3.0|Python 3]].
 * [[http://hkn.eecs.berkeley.edu/~dyoo/python/idle_intro/index.html|One Day of IDLE Toying]] 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. (Python 2)
 * [[https://python.swaroopch.com/|A Byte of Python]], by Swaroop C.H., is also an introductory text for people with no previous programming experience.

 * [[https://www.afternerd.com/|Afternerd]], by Karim Elghamrawy, is a Python tutorials blog that is geared towards Python beginners.

 * [[https://askpython.com/|Ask Python]] Absolute Beginners Python Tutorial.

 * [[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/l2p2|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)
 
 * [[https://itsmycode.com|ItsMyCode]] A Python Blog and tutorials built for developers who love coding

 * [[https://www.afterhoursprogramming.com/tutorial/Python/Overview/|After Hours Programming Python 3 Tutorial]]

 * [[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://www.coursesonline.co.uk/courses/python/|Online Python Courses]] Compare online Python courses from learning providers from across the UK

 * [[https://overiq.com/python/3.4/intro-to-python/|Learn Python]] An Introductory yet in-depth tutorial for Python beginners.
Line 41: Line 95:
 * There is a 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. It is available for both [[http://docs.python.org/tut/|Python 2]] and [[http://docs.python.org/py3k/tutorial/|Python 3]].
 * The Python-Course.eu website has an extensive tutorial for complete beginners, in both [[http://www.python-course.eu/course.php|Python 2]] and [[http://www.python-course.eu/python3_course.php|Python 3]], with lots of illustrations.

 * [[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.
Line 44: Line 101:
 * [[http://thepythonguru.com/|The Python Guru]] A beginner friendly guide for aspiring programmers.
 * [[http://thepythonguru.com/|The Python Guru]] A beginner-friendly guide for aspiring programmers.

 * [[https://coderslegacy.com|CodersLegacy]] A website + blog geared towards both new and experienced programmers. Mainly focused on teaching Python.
 
 * [[https://thecodezine.com|The Codezine]] A python programming blog built for beginners.

 * [[https://www.patternsgameprog.com/series/discover-python-and-patterns/|Discover Python & Patterns with game programming]] Discover Python by programming video games.

 * [[https://www.quizcure.com/topic/python/|QuizCure: A Python Learning Platform]] Contains a list of Commonly asked Python Questions and Answers with Examples.

== Tutorial Aggregators / lists ==

 * [[https://gitconnected.com/learn/python|Gitconnected Python]] tutorials submitted and ranked by Python developers with the best rising to the top
 * [[https://coursesity.com/best-tutorials-learn/python|Coursesity - Python]] - Curated list of the best python courses and tutorials for beginners.
 * [[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
Line 47: Line 120:
/* please keep this list alphabetized */
These websites are written in support of science courses, but are general enough that anyone can learn from them.
/* please keep this list alphabetized */ These websites are written in support of science courses but are general enough that anyone can learn from them.
Line 51: Line 123:
 * [[http://www.pentangle.net/python/handbook/|Handbook of the Physics Computing Course]] 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. (Python 2)
 * Pasteur Institute courses are aimed at biologists but are useful to anyone wanting to learn Python. [[http://www.pasteur.fr/formation/infobio/python/|Introduction to Programming using Python]] is for people completely new to programming.
 * [[http://programminghistorian.org|The Programming Historian]] is a tutorial-style introduction to programming for practicing historians. It assumes that you're starting out with no prior programming experience and only a basic understanding of computers. (Python 2)

 * [[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]]

== Apps ==
 * [[https://www.programiz.com/learn-python|Programiz App to Learn Python]] - A beginner-friendly app on Android and iOS to learn Python step by step with an in-built interpreter and quizzes.
Line 58: Line 134:
 * [[http://www.toonzcat.com/progart.html|Python 3 Beginner Video Tutorials]]
 * The [[http://young-programmers.blogspot.com/search/label/python|Young Programmers Podcast]] contains video lessons on Python, Pygame, Jython, Scratch, Alice, Java and Scala.
 * [[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 (somewhat outdated content!)

== Email Academies ==
/* Python courses in your INBOX - please add only free resources */

 * [[https://blog.finxter.com/email-academy/|Finxter Email Computer Science Academy]]: 20+ free Python and computer science courses delivered in email video lessons. '''Content''': cheat sheets, Python basics, data structures, NumPy, data science, career advancement, coding productivity, and machine learning.

== Tools ==
 * [[http://thonny.org|Thonny, Python IDE for beginners]]
Line 64: Line 149:
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.

 * [[http://learn-to-program.net/python|Learning Python (for the complete nOOb)]] by Derrick Wolters. A beginner's tutorial to learn how to program in Python. (Python 2) -- ''1/3/14: This is a dead link and a quick but very limited Google search turned up nothing. It is available on the wayback machine, however - [[https://web.archive.org/web/20110913183904/http:/www.learn-to-program.net/|Wayback Machine]]''
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.
Line 71: Line 154:
 * [[http://www.pythonforbiologists.com|Python for biologists]] (Python 3)
 * [[http://www.teachmepython.com|Teach Me Python]] A Python tutorial for fast learners. (Python 2)
Line 74: Line 155:
 * [[http://www.learnpython.org/|learnpython.org]] (Python 2) ''2/10/15: interactivity not working''
 * [[http://www.learnstreet.com/lessons/languages/python|LearnStreet: Free interactive Python courses and practice exercises]] (Python 2)
Line 77: Line 156:
 * [[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://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.''
Line 79: Line 158:
Line 81: Line 159:
----
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 but is also available as free textual, website, or video content.

  • 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 ||

  • Python One-Liners by Christian Mayer teaches you how to read and write "one-liners": concise statements of useful functionality packed into a single line of code. ||website with free one-liner explainer videos ||print version ||

  • Think Python by Allen B. Downey teaches you how to think like a computer scientist. ||website ||print version ||

You can find many free Python books online. For example, check out this article with 101 free Python books.

Interactive Courses

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

  • A beginner-friendly and free Python tutorial with interactive code examples, explaining the Python language in an easy-to-understand way.

  • A beginner-friendly Python course that teaches to learn to code through bite-size lessons, quizzes and 100+ challenges.

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

  • Codédex is a learn to code platform for K-12 and college students.

  • Codecademy (Python)

  • 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.

  • Codevisionz Python 10+ hrs of Python learning material - Learn common programming concepts through code examples, quizzes, and challenges

  • 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.

  • HackInScience - 50+ Python exercises on a free, adless, simple, and open-source platform.

  • 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.

  • LearnPython is an interactive Python tutorial that is suitable for absolute beginners.

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.

  • Python for Kids by Jason R Briggs. Book with sample code and puzzles.

  • 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

Tutorial Aggregators / lists

  • Gitconnected Python tutorials submitted and ranked by Python developers with the best rising to the top

  • Coursesity - Python - Curated list of the best python courses and tutorials for beginners.

  • Classpert - Python - A large collection of free and paid Python online courses, from a wide range of providers.

  • Hackr.io - Python: Programming community-recommended best Python tutorials and courses

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

Apps

  • Programiz App to Learn Python - A beginner-friendly app on Android and iOS to learn Python step by step with an in-built interpreter and quizzes.

Videos

Email Academies

  • Finxter Email Computer Science Academy: 20+ free Python and computer science courses delivered in email video lessons. Content: cheat sheets, Python basics, data structures, NumPy, data science, career advancement, coding productivity, and machine learning.

Tools


CategoryPythonInEducation CategoryPythonInEducation

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

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