== Please Note ==
This is a Wiki page. Users with edit rights can edit it. You are, therefore, free to (in fact, encouraged to) add details of material that other Python users will find useful. It is '''not''' an advertising page and is here to serve the whole Python community. Users who continually edit pages to give their own materials (particularly commercial materials) prominence, or spam the listing with multiple entries which point to resources with only slightly altered material, may subsequently find their editing rights disabled. ''You have been warned''. On a cheerier note - there is a constant stream of new and updated information on Python as the language is exploding in popularity.  Only enthusiastic volunteers can keep this page current, so if something helps you, feel free to link it here.

== Python for Programmers ==
The tutorials on this page aim at people with 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) ==

=== Resources ===
 * [[https://programiz.pro/learn/master-python|A beginner-friendly Python course]] with interactive, bite-size lessons, and over 100 challenges.  
 * [[https://python.land/python-tutorial|A beginner-friendly Python tutorial]] that starts with the absolute basics but also covers more advanced stuff like Python software deployment.
 * [[https://python.swaroopch.com/|A Byte of Python]], by Swaroop C.H. An introductory text for beginners and experienced programmers looking to learn Python.
 * [[http://www.afterhoursprogramming.com/tutorial/Python/Introduction/|After Hours Programming's Python Introduction]] A beginners introduction into Python.
 * [[https://awesome-python.com/|Awesome Python]] A curated list of awesome Python frameworks, libraries, software and resources.
 * [[https://www.checkio.org|CheckiO interactive learning resource]] Creative way to improve Python skills with interesting tasks, it also supports Python 3|2.
 * [[https://classpert.com/python-programming|Classpert - Python]] - A collection of free and paid Python online courses from a wide range of providers.
 * [[https://www.codedex.io.com|Codédex]] - A learn to code platform for K-12 and college students.
 * [[https://coderslegacy.com|CodersLegacy]] A website + blog geared towards both new and experienced programmers. Mainly focused on teaching Python.
 * [[https://diveintopython3.problemsolving.io/|Dive Into Python 3]] by Mark Pilgrim.
 * [[https://github.com/amontalenti/elements-of-python-style|Elements of Python Style]] This document goes beyond PEP8 to cover the core of what the author thinks of as great Python style.
 * [[https://finxter.com/|Finxter]] - Solve Python puzzles and test your Python skill level (beginner to grandmaster level).
 * [[https://www.fullstackpython.com/|Full Stack Python]] Once you know the basics, learn how to build, deploy and operate Python Applications.
 *  [[https://itsmycode.com/|ItsMyCode]] A Python Programming Blog which teaches Python basics and helps to solve various issues which developers face in day to day Programming
 * [[https://python-3-patterns-idioms-test.readthedocs.io/en/latest/|Python 3 Patterns, Recipes, and Idioms]] by Bruce Eckel and Friends.
 * [[https://www.techbeamers.com/python-tutorial-step-by-step/|Learn Python Step by Step]] - Start learning python from the basics to pro-level and attain proficiency.
 * [[https://overiq.com/python/3.4/intro-to-python|Learn Python OverIQ]] - An entry-level course to get you started with Python Programming.
 * [[https://www.programiz.com/python-programming|Learn Python - Tutorial for Beginners]] A comprehensive Python guide to get started, Python tutorials, and examples for beginners.
 * [[http://freepythontips.wordpress.com|Free python tips and tutorials]] Python tips and tutorials for beginners and professional programmers.
 * [[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.
 * [[https://www.stavros.io/tutorials/python/|Learn Python in 10 minutes]]
 * [[http://www.python-course.eu|Python Course]] - This online Python course is aiming at beginners and with advanced topics at experienced programmers as well.
 * [[https://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.
 * [[https://pythonspeed.com/performance/|PythonSpeed.com]] Great resource with insightful ways to speed up your Python code
 * [[https://www.dabeaz.com/per.html|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. A version that covers Python 3.7 is in progress.
 * [[http://codecondo.com/10-ways-to-learn-python/|Resources for Learning Python]] 10 of the most popular / recommended platforms in the World when it comes to learning Python, either as a complete beginner or someone who knows their way around.
 * [[http://docs.python.org/tut/|Python Tutorial]] This tutorial is part of Python's documentation set and is updated with each new release.
 * [[http://en.wikiversity.org/wiki/Topic:Python|Wikiversity:Python]] The Wiki(anything) information about Python.
 * [[https://pythonspot.com/|Python Programming Tutorials]] Python programming tutorials.
 * [[http://thepythonguru.com/getting-started-with-python/|Python Tutorials]] Python in plain English.
 * [[http://www.trytoprogram.com/python-programming/|Learn Python - Programming Made Easy]] Simplified tutorials for beginners (Learn with relevant examples).
 * [[https://tutswiki.com/pandas-cookbook/|Pandas Cookbook]] A newbie friendly introduction to pandas with real-life examples.
 * [[https://github.com/huangsam/ultimate-python|Ultimate Python study guide]] Ultimate Python study guide for newcomers and professionals alike.
 * [[https://www.nbshare.io|Learn coding with Python notebooks]] A place where users can learn lot about Python coding with Python notebooks.
 * [[https://www.scaler.com/topics/python/|Learn Python Programming]] Easy to understand Python tutorial explained with examples for beginners and professionals alike.


== Interactive Tools and Lessons ==
 * [[http://cscircles.cemc.uwaterloo.ca|Computer Science Circles]]
 * [[https://hackinscience.org|HackInScience: free and open-source Python training website]]
 * [[https://learn-python.adamemery.dev|Learn Python]] - A no install Python course with interactive exercises powered by Pyodide.
 * [[https://python-editor.adamemery.dev|Python Editor]] - A web app for writing and running basic Pythons scripts 
 * [[http://people.csail.mit.edu/pgbovine/python/tutor.html|Python visualizer tool]]
 * [[http://thonny.org|Thonny, Python IDE for beginners. Has intuitive features for program runtime visualization]]
 * [[https://pyflo.net|PyFlo]] - A free, interactive guide to becoming a Python Programmer

== Python Video Tutorials ==
 * [[https://www.youtube.com/watch?v=rfscVS0vtbw]] - Python Beginners Course by FreeCodeCamp (4 hours)
 * [[https://www.youtube.com/watch?v=HGOBQPFzWKo]] - Python Intermediate Course by FreeCodeCamp (6 hours)
 * [[https://www.webucator.com/django-training/course/writing-your-first-django-app/]] - A free Django course with videos based on the Django Software Foundations official tutorial.
 * [[https://code.tutsplus.com/courses/crawl-the-web-with-python|Crawl the Web With Python]] - learn to build a web crawler and scraper (paid/commercial).
 * [[https://overiq.com/django/1.10/intro-to-django/|Django Basics]] - An introductory course to learn basics of Django framework in great detail.
 * [[https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-0001-introduction-to-computer-science-and-programming-in-python-fall-2016/lecture-videos/|MIT's Introduction to Computer Science and Programming in Python]]
 * [[https://www.khanacademy.org/computing/computer-science|Khan Academy computer science]] playlist teaches Python.
 * [[https://youtu.be/HJSLyzm4j6Y|Python Exception Handling for beginners]]  - Exception handling with Python.
 * [[https://www.youtube.com/watch?v=DFLD3JjsvJo&list=PLboXykqtm8dy_DNg1NZiS08Dnyj35PWXw|Python Lists and Object Tutorial for Beginners]] - Sorting Objects with Python.
 * [[https://youtu.be/RZF17FfRIIo|Python OOP Tutorial for Beginners]] - Getting started with OOP programming with Python.
 * [[https://www.youtube.com/playlist?list=PLlgoYPTU6ljCEggReCMF0m0760QTot9Qz|Python Screencasts]] (36 videos)

== Python video tutorial (commercial/paid) ==
 * [[https://code.tutsplus.com/courses/getting-started-with-django|Getting Started With Django]] - learn the Django back-end framework from scratch (paid/commercial)
 * [[https://code.tutsplus.com/courses/build-a-news-aggregator-with-django|Build a News Aggregator With Django]] - learn advanced Django skills with a hands-on project (paid/commercial)
 * [[https://code.tutsplus.com/courses/data-handling-with-python|Data Handling With Python]] - learn the basics of handling data in the Python language (paid/commercial).

== Free Python Courses ==
  * [[https://blog.finxter.com/subscribe|Free Python 3 email course]] (almost daily Python lesson + cheat sheets, email required)

=== Other Python Resource Aggregators ===
 * [[https://hackr.io/tutorials/learn-python|Learn Python - Best Python Tutorials and Courses]] Python tutorials & courses recommended by the programming community.
 * [[https://gitconnected.com/learn/python|Learn Python - Best Python Courses]] Python tutorials submitted and ranked by Python developers with the best rising to the top
 * [[https://www.codecademy.com/learn/learn-python-3|Paid Python 3 course]] (almost daily Python lesson + cheat sheets)

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