Python 3 resources, unless otherwise noted

Check out [Basic concepts and features tutorial](https://docs.python.org/3/tutorial/) and [Getting Started](https://www.python.org/about/gettingstarted/) from Python official website

**NOTE: Fork of https://github.com/learnbyexample/scripting_course/blob/master/Python_curated_resources.md**

### Courses - online text/pdf tutorials
* [automatetheboringstuff](https://automatetheboringstuff.com/) 
	* also visit [inventwithpython](http://inventwithpython.com/) for more stuff from this author
* [diveintopython](http://www.diveintopython3.net/) - [pdf](https://github.com/downloads/diveintomark/diveintopython3/dive-into-python3.pdf)
* [A Byte of Python](http://python.swaroopch.com/) - [pdf](https://www.gitbook.com/download/pdf/book/swaroopch/byte-of-python)
* [Python Informatics](http://do1.dr-chuck.com/py4inf/EN-us/book.pdf) 
* [Python for you and me](http://pymbook.readthedocs.org/en/latest/) 
* [Think Python](http://greenteapress.com/wp/think-python-2e/)
* [python-course](http://python-course.eu/python3_history_and_philosophy.php) 
* [Non-Programmer's Tutorial for Python 3](https://en.wikibooks.org/wiki/Non-Programmer%27s_Tutorial_for_Python_3) - [pdf](https://upload.wikimedia.org/wikipedia/commons/1/1d/Non-Programmer%27s_Tutorial_for_Python_3.pdf)

#### Quick Guides
* [tutorialspoint](http://www.tutorialspoint.com/python/python_quick_guide.htm)
* [realpython](https://realpython.com/learn/python-first-steps/)

### Courses - online video/interactive tutorials
* [udemy - automatetheboringstuff](https://www.udemy.com/automate/?couponCode=HALF_OFF)
	* [first 15 videos on youtube](https://www.youtube.com/watch?v=7qHMXu99d88&list=PL0-84-yl1fUnRuXGFe_F7qSH1LEnn9LkW)
* [coursera - getting started with Python](https://www.coursera.org/learn/python) 
* [edx - intro to computer science as a tool to solve real-world analytical problems](https://www.edx.org/course/introduction-computer-science-mitx-6-00-1x-6)
* [pythonprogramming](https://pythonprogramming.net/introduction-to-python-programming/) 
* [learn Python through challenging problems](https://snakify.org/) 
* [youtube - Python programming](https://www.youtube.com/playlist?list=PL6lxxT7IdTxFKo9DguLxGM2dhgb8-u976)
* [Google - Python 2](https://developers.google.com/edu/python/)
* [youtube - learn Python 2 and make games](https://www.youtube.com/playlist?list=PLeLU1pCom3Oo4w7XE3wlrdWv6v7lA0hwb)
* [Real Python](https://realpython.com/) - focus on web development
* [newcoder - project based](http://newcoder.io/tutorials/)

### Books
* [effectivepython](http://www.effectivepython.com/)
* [Fluent Python](http://shop.oreilly.com/product/0636920032519.do)
* [Python Cookbook](http://shop.oreilly.com/product/0636920027072.do)
* [Python for Kids](https://www.nostarch.com/pythonforkids)
* book lists
	* [pythoncommunity - best Python books](http://pythoncommunity.com/2015-12-best-python-books)
	* [free programming books - Python](https://github.com/vhf/free-programming-books/blob/master/free-programming-books.md#python)
	* [importpython](http://importpython.com/books/) - has buy/free list sections

### Docs and Cheat-Sheets
* [Python 3.5](https://docs.python.org/3.5/index.html)
* [Python 2.7](https://docs.python.org/2.7/)
* [Cheat Sheet by Derek](http://www.newthinktank.com/2014/11/python-programming/) - has an accompanying [video](https://www.youtube.com/watch?v=N4mEzFDjqtA) as well
* [learnxinyminutes - Python3](https://learnxinyminutes.com/docs/python3/)
* [Python Crash Course - cheatsheet](https://ehmatthes.github.io/pcc/cheatsheets/README.html)

### Tips and Tricks
* [40 handy tricks](http://sahandsaba.com/thirty-python-language-features-and-tricks-you-may-not-know.html)
* [useful snippets](http://fadymak.com/pages/useful_python_snippets.html)
* [avoiding common gotchas](http://docs.python-guide.org/en/latest/writing/gotchas/)
* [Transforming Code into Beautiful, Idiomatic Python](https://gist.github.com/JeffPaine/6213790) which is based on this [video](https://www.youtube.com/watch?feature=player_embedded&v=OSGv2VnC0go)
* [Python tips and features on Stackoverflow](http://stackoverflow.com/questions/101268/hidden-features-of-python)
* [pythontips book](http://book.pythontips.com/en/latest/index.html)
* One-liners: [#1](http://www.vurt.ru/2013/02/python-command-line-oneliners/), [#2](https://wiki.python.org/moin/Powerful%20Python%20One-Liners), [#3](http://python-oneliner.readthedocs.org/en/latest/)

### In-depth analysis/tutorial of single concept
* Collections
	* [offical doc](https://docs.python.org/3/library/collections.html)
* Decorators
	* [what is decorator?](https://pythonconquerstheuniverse.wordpress.com/2012/04/29/python-decorators/)
	* [intro to decorators](http://python-3-patterns-idioms-test.readthedocs.org/en/latest/PythonDecorators.html)
	* [decorator library](https://wiki.python.org/moin/PythonDecoratorLibrary)
	* [decorator - stackoverflow](http://stackoverflow.com/questions/739654/how-can-i-make-a-chain-of-function-decorators-in-python/1594484#1594484)
* list
	* [slice notations and assignments](http://stackoverflow.com/questions/509211/explain-pythons-slice-notation)
	* [list comprehensions](http://treyhunner.com/2015/12/python-list-comprehensions-now-in-color/)
	* [Comprehensions in Python the Jedi way](https://gist.github.com/bearfrieze/a746c6f12d8bada03589)
	* [how to copy 1-D and multi-D lists](http://stackoverflow.com/questions/2612802/how-to-clone-or-copy-a-list-in-python)
* [lambda](https://pythonconquerstheuniverse.wordpress.com/2011/08/29/lambda_tutorial/) - what it is and when to use
* OOP
	* [why is it useful](http://inventwithpython.com/blog/2014/12/02/why-is-object-oriented-programming-useful-with-an-role-playing-game-example/)
	* [magic methods](http://www.rafekettler.com/magicmethods.html)
	* [intro to classes and inheritance](http://www.jesshamrick.com/2011/05/18/an-introduction-to-classes-and-inheritance-in-python/)
	* [class attributes](https://www.toptal.com/python/python-class-attributes-an-overly-thorough-guide)
	* [official doc on classes](https://docs.python.org/3.5/tutorial/classes.html)
* [Python Virtual Environments](https://realpython.com/blog/python/python-virtual-environments-a-primer/)
* Regular Expressions:
	* [official doc of re module](https://docs.python.org/3.5/library/re.html)
	* [regexone - interactive tutorial](http://regexone.com/), also has a [quick reference](http://regexone.com/references/python)
	* [regular expressions tutorial](http://ryanstutorials.net/regular-expressions-tutorial/)
	* [shortcutfoo](https://www.shortcutfoo.com/app/dojos/python-regex/cheatsheet) - you can also learn it [interactively](https://www.shortcutfoo.com/app/dojos/python-regex)
	* [Python regex tutorial - from Google course](https://developers.google.com/edu/python/regular-expressions)
	* stackoverflow - [comprehensive list of regex FAQ](http://stackoverflow.com/questions/22937618/reference-what-does-this-regex-mean) and [regex overview](http://stackoverflow.com/tags/regex/info) 
* [string formatting](https://pyformat.info/#simple)
* [working with binary data](http://www.devdungeon.com/content/working-binary-data-python) 
* [Python Q&A on stackoverflow](http://stackoverflow.com/questions/tagged/python?sort=votes&pageSize=15)
* [pyinstaller](https://github.com/pyinstaller/pyinstaller)
* [Python packaging guide](https://python-packaging-user-guide.readthedocs.org/en/latest/)
* [profiling Python code for performance](http://tutorials.pluralsight.com/python/quick-profiling-in-python)

### Handy tools
* [Visualize code execution](http://www.pythontutor.com/visualize.html#mode=edit) - also has example codes and ability to share sessions
* [regex tester](https://regex101.com/#python) - explainations on separate windows, includes quick references, ability to save and share

### Further Reading
* Data Science
	* [Intro to Python using Data Analysis](http://swcarpentry.github.io/python-novice-inflammation/) - uses **Jupyter notebook**
	* [Intro to Data Science with Python](http://www.analyticsvidhya.com/blog/2016/01/complete-tutorial-learn-data-science-python-scratch-2/)
	* [data science ipython notebooks](https://github.com/donnemartin/data-science-ipython-notebooks)
	* [Python-xy](https://python-xy.github.io/)
	* [datacamp - course](https://www.datacamp.com/courses/intro-to-python-for-data-science)
* GUI, Game and Web
	* [gui development tutorials](https://pythonprogramming.net/gui-development-tutorials/)
	* [kivy crash course](http://inclem.net/pages/kivy-crash-course/)
	* [remi module](https://github.com/dddomodossola/remi) - create platform independent GUI with Python (by converting to HTML)
	* [Bokeh - Python interactive visualization library](https://github.com/bokeh/bokeh)
	* [django](https://docs.djangoproject.com/en/1.9/intro/tutorial01/) and [flask](http://blog.miguelgrinberg.com/post/the-flask-mega-tutorial-part-i-hello-world)
	* static website generators [pelican](http://docs.getpelican.com/en/3.6.3/) and [Cactus](https://github.com/koenbok/Cactus/)
	* [anvil](https://anvil.works/blog/introducing-anvil) - drag & drop web-app builder
	* [web scraping](http://newcoder.io/scrape/)
* TDD
	* [Test-Driven Development with Python](http://chimera.labs.oreilly.com/books/1234000000754/index.html) - focussed on Django and web-development
	* [learn Python via TDD](https://github.com/gregmalcolm/python_koans)
	* [defensive programming](http://tutorials.pluralsight.com/python/defensive-programming-in-python)
	* [pycontracts](https://andreacensi.github.io/contracts/)
	* [is unit testing worth the effort](http://stackoverflow.com/questions/67299/is-unit-testing-worth-the-effort/67500#67500)
* Style guide
	* [PEP 0008](https://www.python.org/dev/peps/pep-0008/)
	* [Google - pyguide](https://google.github.io/styleguide/pyguide.html)
	* [elements of python style](https://github.com/amontalenti/elements-of-python-style)
* [The Hitchhiker’s Guide to Python!](http://docs.python-guide.org/en/latest/)
* [Problem solving with Algorithms and Data Structures](http://interactivepython.org/runestone/static/pythonds/index.html) 
* [realpython - blog](https://realpython.com/blog/)
* [Create beautiful command-line interfaces with Python](https://www.youtube.com/watch?v=pXhcPJK5cMc)
* [collection of design patterns and idioms](https://github.com/faif/python-patterns)
* [curated videos on Python](https://github.com/s16h/py-must-watch)
* github - [trending Python projects](https://github.com/trending?l=python&since=monthly) and [top devs and repos to follow](https://github.com/StijnMiroslav/top-starred-devs-and-repos-to-follow)
* [A gallery of interesting IPython Notebooks](https://github.com/ipython/ipython/wiki/A-gallery-of-interesting-IPython-Notebooks)

### Other Python resource lists
* [wiki from /r/learnpython](https://www.reddit.com/r/learnpython/wiki/index)
* [github - awesome-python](https://github.com/vinta/awesome-python)
* [github - pycrumbs](https://github.com/kirang89/pycrumbs/blob/master/pycrumbs.md)
* [github - pythonidae](https://github.com/svaksha/pythonidae)
* [stackoverflow](http://stackoverflow.com/tags/python/info)
* [zeef - alan richmond](https://python.zeef.com/alan.richmond)
* [zeef - luis solis](https://python.zeef.com/luis.solis)
* [messybytes](https://messybytes.wordpress.com/2015/09/02/resources-for-python/)

### Practice/Coding Challenge
* [codewars](http://www.codewars.com/)
* [adventofcode](http://adventofcode.com/)
* [projecteuler](https://projecteuler.net/)
* [hackerrank](https://www.hackerrank.com/)
* [/r/dailyprogrammer](https://www.reddit.com/r/dailyprogrammer)
* [codeeval](https://www.codeeval.com/)
* Gamification
	* [checkio](http://www.checkio.org/)
	* [empireofcode](https://empireofcode.com/)
	* [codecombat](http://codecombat.com/play/level/dungeons-of-kithgard)

### Coding Problems/Projects with solution
* [projects on github](https://github.com/karan/Projects-Solutions)
* [rosettacode](http://rosettacode.org/wiki/Category:Python)
* [Python scripts](https://www.quora.com/What-are-the-best-Python-scripts-youve-ever-written)
* [projects with explanation by Peter Norvig](http://norvig.com/ipython/README.html)

### Development Environment
* [pycharm](https://www.jetbrains.com/pycharm/)
* Vim - [customizing .vimrc for Python](https://realpython.com/blog/python/vim-and-python-a-match-made-in-heaven/) and [python-mode](https://github.com/klen/python-mode)
* [Jupyter](https://jupyter.org/) - web application that allows you to create and share documents that contain live code, equations, visualizations and explanatory text

### Forums
* [/r/learnpython](http://www.reddit.com/r/learnpython) - very friendly for newbies
* [python-forum]( http://www.python-forum.org/)
* [/r/Python/](https://www.reddit.com/r/Python/)  - general Python discussion
* [stackoverflow](http://stackoverflow.com/tags/python)