Tutorials & code snippets on python programming explained (mostly) using Jupyter Notebooks.

• Abstract class vs. virtual abstract class
• Abstract class vs. protocols
• __all__
• args and kwargs
• Assignment
• Broadcasting
• Built-in iterators
• __call__ method
• Class Attributes vs Instance Attributes
• Class construction
• Code style
• Collections
• Composition vs. inheritance
• Conditional else vs. completion else
• Control flow statement
• Control flow statement
• Context manager
• Currying
• Data class
• Declaring priate variables
• Default dictionary
• Decorations
• (Built-in) Decorators | @classmethod | @property | @staticmethod
• Dunder methods
• Error and exceptions
• Exceptions
• First class functions
• From 2.x to 3.x new class definition
• Functions composition
• __future__ module
• Generators
• hashable
• Key differences between Python 2 and 3
• Inheritance in all its flavours
• __init__.py file
• Iterables, iterators and generators
• lambda, map, filter and reduce functions
• List and set comprehensions
• Lists, sets, frozensets, dictionaries and tuples
• Match case statement
• Method overloading vs. method overring
• Module vs. Package vs. Library vs. Framework
• Modules
• namespaces, scope resolution, and the LEGB rule
• Notable methods
• Operators
• Overwriting, overloading and overriding
• Partial functions
• Polymorphims
• Public, private and protected attributes
• Public, private and protected methods
• __repr__ vs, __str__
• self and __init__
• Reference vs. Shallow and deep copy
• Sequence slicing
• Short-circuiting
• String formatting
• String and regular expression
• Type hinting and annotations
• super() and __init__ and __new__
• super()
• _ underscore
• * unpacking
• Variables and objects
• with statement
• Walrus operator
• Wheels
• yield
• __name__ == '__main__'

• Equality vs. identity
• Disassembling python bytecode
• Python 2.7.x vs. Python 3.x

• Don't use mutable object as default arguments

• Installation
• Algorithms
• Data structures
• Docstrings
• EAFP and LBYL coding styles
• Logging module
• Other useful things
• Python overview
• How to create a requirements.txt file
• Design and architecture patterns
• OOP - Object Oriented Programming
• Functional vs. OOP APIs
• Production-like code
• Makefile
• Testing
• Freezing

• Python Like You Mean It
• Learn python
• The Real Python Podcast

• Two notebooks are available:
  • One with coloured boxes and outside folder GitHub_MD_rendering
  • One in black-and-white under folder GitHub_MD_rendering