A curated list of python tutorials, notes, slides deck, files related to pycon talks, and a handful list of books I read and/or am currently reading. This repository can be used as a reference documentation for mastering the python programming language and other related content like frameworks and such.

This repository serves three primary roles:

1. Sharing an opinionated list of python videos.

2. Sharing my own notes of what I learned while watching Pycon on YT, reading books, and other resources.

3. Sharing a handful list of books that can play a significant role in honing your python skills.

If you are looking for a way to contribute to the project, please refer to the Guideline.

Don't forget to slap that ⭐ button an odd number of times ;-)

Currently maintained by Mahmoud Harmouch.

1. Awesome Python Talks
   1.1 Novice Level - Core
       1.1.1 Stuart Williams - Python Epiphanies
       1.1.2 Trey Hunner - Hands-On Intro to Python
       1.1.3 Jessica McKellar - Hands-on intro to Python
   1.2 Intermediate Level - Core
       1.2.2 Luciano Ramalho - Pythonic Objects
       1.2.2 Luciano Ramalho - Pythonic APIs
       1.2.3 Luciano Ramalho - Decorators & Descriptors
       1.2.4 Trey Hunner - Lazy Looping in Python
       1.2.5 Trey Hunner - List Comprehensions & Generator
       1.2.6 Trey Hunner - Readable Regular Expressions
       1.2.7 Raymond Hettinger - Dataclasses
       1.2.8 Raymond Hettinger - OOP from scratch
       1.2.9 Ariel Ortiz - Design Patterns in Python
   1.3 Fun To Watch
       1.3.1 David Beazley - Discovering Python
       1.3.2 David Beazley - The Fun of Reinvention
       1.3.3 David Beazley - Fear and Awaiting in Async
       1.3.4 David Beazley - Built in Super Heroes
   1.4 Python 2 and Python 3
       1.4.1 Brett Cannon - Python 3.3 is Better than Python 2.7
   1.5 DSA
       1.5.1 Brandon Rhodes - Data Structures in the Std Lib
       1.5.2 Justin Abrahms - Computer Science Fundamentals
       1.5.3 Raymond Hettinger - Modern solvers(BFS, DFS)
       1.5.4 Raymond Hettinger - Python's abstract base classes
       1.5.5 Claudio Freire - Efficient shared memory data structures
       1.5.6 Learning Algorithms and Data Structures in Python
       1.5.7 Nina Zakharenko - Elegant Solutions For Everyday Python Problems
       1.5.8 Jiaqi Liu - Fuzzy Search Algorithms .
   1.6 DevOps
       1.6.1 Hynek Schlawack - Beyond grep: Practical Logging and Metrics
   1.7 Full-Stack
       1.7.1 Kate Heddleston - So you want to be a full-stack developer
       1.7.2 Luke Lee - Building full-stack scientific applications in Python
       1.7.3 Christine Spang - To ORM or not to ORM
       1.7.4 Miguel Grinberg - Flask
       1.7.5 Dan Langer - The Django Request-Response Cycle
       1.7.6 Andrew Godwin - Designing Django's Migrations
       1.7.7 James Bennett - API-Driven Django
       1.7.8 Shauna Gordon-McKeon - Beyond Django Basics
       1.7.9 Kenneth Love - Django Admin Basics and Beyond
       1.7.10 Kenneth Love - Getting Started with Django
       1.7.11 Kenneth Love - Django 101
       1.7.12 Christophe Pettus - PostgreSQL Proficiency
       1.7.13 Jacinda Shelly - Delving into the Django Admin
   1.8 Self Care & Life
       1.8.1 Julie Pagano - It's Dangerous to Go Alone
       1.8.2 Kate Heddleston and Nicole Zuckerman: Technical Onboarding
       1.8.3 Kathleen Danielson - Avoiding Burnout
       1.8.4 Lynn Root, Noa Resare - Why can't we be friends
       1.8.5 Sara Packman - The Journey Over the Intermediate Gap
       1.8.6 Joyce Jang - Build Teams as an Engineer
       1.8.7 Lauren Schaefer - Does remote work really work?
   1.9 Testing
       1.9.1 Harry Percival - TDD with Django
       1.9.2 Brian Okken, Paul Everitt - Visual Testing with PyCharm and pytest
       1.9.2 Brian Okken, Paul Everitt - Visual Testing with PyCharm and pytest
       1.9.3 Hillel Wayne - Beyond Unit Tests: Taking Your Testing to the Next Level
       1.9.4 Zac Hatfield-Dodds - Escape from auto-manual testing with Hypothesis!
       1.9.5 Jes Ford - Getting Started Testing in Data Science
       1.9.6 Neil Chazin - Strategies for testing Async code

2. My Notes/Book
   2.1 Chapter-01: The Language Basics
   2.2 Chapter-02: Built-In functions and the Std-Modules

3. Python Books
   3.1 Novice Level
       3.1.1 Head-First Python: A Brain-Friendly Guide
       3.1.2 Python for Everybody: Exploring Data in Python 3
       3.1.3 Learn Python 3 the Hard Way
       3.1.4 Python Programming for the Absolute Beginner
       3.1.5 Introduction to Computation and Programming Using Python
       3.1.6 Python Programming: An Introduction to Computer Science
       3.1.7 Python Crash Course
       3.1.8 Python for Kids
       3.1.9 Core Python Programming
       3.1.10 Programming Python
       3.1.11 Learning Python
       3.1.12 Think Python
   3.2 Intermediate Level
       3.2.1 Murach's Python Programming
       3.2.2 Python Cookbook
       3.2.3 Effective Python: 59 Specific Ways to Write Better Python
       3.2.4 Python Tricks: A Buffet of Awesome Python Features
       3.2.5 Intermediate Python
       3.2.6 Python 3 Object Oriented Programming
       3.2.7 Problem Solving with Algorithms and Data Structures Using Python
       3.2.8 Practices of the Python Pro
   3.3 Reference
       3.3.1 Fluent Python
       3.3.2 Mastering Python High Performance
       3.3.3 Python Testing with pytest

Thumbnail	Video Title	YT Links	Duration	Speaker Deck	Backup files
	Python Epiphanies	2014 2016 2017 2018	3:17:08	2015 2016 2018	Mega
	Hands-On Intro to Python	2017	3:26:03	2017	---
	Hands-on Intro to Python For Beginning Programmers	2014	3:21:49	---	---

Thumbnail	Video Title	YT Links	Duration	Speaker Deck	Backup files
	Pythonic Objects	2019	3:22:15	2014 Github	Mega
	Pythonic APIs	2016	3:01:52	2016 Github	Mega
	Decorators & Descriptors	2017	2:55:02	2017	Mega
	Lazy Looping in Python	2019	3:22:14	2017	---
	List Comprehensions & Generators	2018	3:21:43	2017	---
	Readable Regular Expressions	2016 2017 2021	3:19:43	2016 2017 2021	---
	Dataclasses: The code generator to end all code generators	2018	00:45:21	---	---
	Object Oriented Programming from scratch	2020	1:16:18	Colab	---
	Design Patterns in Python for the Untrained Eye	2019	3:14:47	2019	---

Thumbnail	Video Title	YT Links	Duration	Speaker Deck	Backup files
	Discovering Python	2014	00:47:49	2014	Mega
	The Fun of Reinvention	2017 - Screencast 2017	00:55:21	2017	Mega
	Fear and Awaiting in Async	2016 - Screencast 2016	00:56:42	2016	Mega
	Built in Super Heroes	2016 - Screencast 2016	00:44:31	2016	Mega

Thumbnail	Video Title	YT Links	Duration	Speaker Deck	Backup files
	Python 3.3 is better Than Python 2.7	2012 2013	00:53:24	2013	---
	How to make your code Python 2/3 compatible	2015	00:28:37	2015	---

Thumbnail	Video Title	YT Links	Duration	Speaker Deck	Backup files
	Data Structures in the Std Lib and Beyond	2014	00:37:40	2014	---
	Computer science fundamentals	2014	00:30:22	2014	---
	Modern solvers: Problems well-defined are problems solved(BFS, DFS)	2019	00:47:14	2019	---
	Build powerful, new data structures with Python's abstract base classes	2019	1:02:01	---	---
	Efficient shared memory data structures	2018	00:27:15	2018	---
	Learning Algorithms and Data Structures in Python	2012	00:34:43	---	---
	Elegant Solutions For Everyday Python Problems	2018	00:32:57	2018	---
	Fuzzy Search Algorithms How and When to Use Them	2017	00:30:23	2017	---

Thumbnail	Video Title	YT Links	Duration	Speaker Deck	Backup files
	Beyond grep: Practical Logging and Metrics	2015	00:35:50	2015	---

Thumbnail	Video Title	YT Links	Duration	Speaker Deck	Backup files
	So you want to be a full-stack developer	2014	00:26:46	2014	---
	Building full-stack scientific applications in Python	2013	00:42:35	2013 gist	---
	To ORM or not to ORM	2015	00:26:29	2015	---
	Flask	2014 2015 2016 2017	3:40:28	2014 2015 2016 2017	---
	the Django Request-Response Cycle	2014	00:31:27	2014	---
	Designing Django's Migrations	2014	00:26:26	2014	---
	API-Driven Django	2018	00:26:26	2014	---
	Beyond Django Basics	2018	3:15:59	Github	---
	Django Admin Basics and Beyond	2017	3:13:21	Github	---
	Getting Started with Django	2014	3:23:34	RTD	---
	Django 101	2016	2:04:32	2016 Github	---
	PostgreSQL Proficiency for Python People	2016	3:00:05	pdf	---
	Delving into the Django Admin	2015	3:05:24	Github	---

Thumbnail	Video Title	YT Links	Duration	Speaker Deck	Backup files
	It's Dangerous to Go Alone	2014	00:28:22	2014	---
	Technical on-boarding, training, and mentoring	2014	00:27:11	2014	---
	Avoiding Burnout, and other essentials of Open Source Self-Care	2015	00:28:35	2015	---
	Why can't we be friends: do corporations and FOSS really mix?	2016	00:31:26	2016	---
	The Journey Over the Intermediate Gap	2018	00:27:09	2018	---
	Build Teams as an Engineer	2018	00:31:55	2018	---
	Does remote work really work	2019	00:39:20	2019	---

Thumbnail	Video Title	YT Links	Duration	Speaker Deck	Backup files
	TDD with Django	2018 2018 2017	3:11:52	Book Github	---
	Visual Testing with PyCharm and pytest	2018	00:29:54	2018	---
	Beyond Unit Tests: Taking Your Testing to the Next Level	2018	00:29:20	2018	---
	Escape from auto-manual testing with Hypothesis!	2019	3:12:11	2019	---
	Getting Started Testing in Data Science	2019	00:31:00	2019	---
	Strategies for testing Async code	2019	00:22:43	2019	---

Cover	Title	Authors	Publication(Year)	Publisher	Store
	Head-First Python, 2nd Edition.	Paul Barry	2016	O'Reilly Media, Inc	Amazon
	Python for Everybody.	Dr. Charles Russell Severance.	2017	O'Reilly	Amazon
	Learn Python 3 the Hard Way, 1st Edition.	Zed A. Shaw	2017	Addison-Wesley	Amazon
	Python Programming for the Absolute Beginner, 3rd Edition.	Michael Dawson	2010	Course Technology	Amazon
	Introduction to Computation and Programming Using Python, 2nd Edition.	John V. Guttag, Julie Sussman	2016	The MIT Press	Amazon
	Python Programming: An Introduction to Computer Science, 3rd Edition.	John M. Zelle	2016	Franklin, Beedle & Associates, Inc	Amazon
	Python Crash Course, 2nd Edition.	Eric Matthes	2019	No Starch Press	Amazon
	Python for Kids, 2nd Edition.	Jason R. Briggs	2012	No Starch Press	Amazon
	Core Python Programming, 2nd Edition	Wesley J. Chun	2006	Pearson P T R	Amazon
	Programming Python, 4th Edition	Mark Lutz	2010	O'Reilly Media, Inc.	Amazon
	Learning Python, 5th Edition.	Mark Lutz	2010	O'Reilly Media, Inc.	Amazon
	Think Python, 2nd Edition.	Allen B. Downey	2016	O'Reilly Media, Inc.	Amazon

Cover	Title	Authors	Publication(Year)	Publisher	Store
	Murach's Python Programming, 2nd Edition.	Michael Urban	2021	Mike Murach & Associates	Amazon
	Python Distilled (Developer's Library) 1st Edition.	David Beazley	2021	Addison-Wesley Professional	Amazon
	Effective Python, 2nd Edition.	Brett Slatkin	2019	Addison-Wesley Professional	Amazon
	Python Tricks, 1st edition.	Dan Bader	2017	Dan Bader	Amazon
	Intermediate Python, 1st edition.	Obi Ike-Nwosu	2016	leanpub	---
	Python Object-Oriented Programming, 4th Edition.	Steven F. Lott, Dusty Phillips	2021	Packt Publishing	Amazon
	Problem Solving with Algorithms and Data Structures Using Python, Kindle Edition.	Bradley N. Miller, David L. Ranum	2021	Franklin, Beedle & Associates	Amazon
	Practices of the Python Pro 1st Edition.	Dane Hillard	2020	Manning	Amazon

Cover	Title	Authors	Publication(Year)	Publisher	Store
	Fluent Python, 2nd Edition.	Luciano Ramalho	2022	O'Reilly Media	Amazon
	Mastering Python High Performance.	Fernando Doglio	2015	Packt Publishing	Amazon
	Python Testing with pytest, 2nd Edition	Brian Okken	2022	Pragmatic Bookshelf	Amazon

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Contributions are welcome!