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Python 3: Deep Dive (Part 4 - OOP)

via Udemy

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Python Object Oriented Programming (OOP)

What you'll learn:
  • Python Object Oriented Concepts
  • Classes
  • Methods and Binding
  • Instance, Class and Static Methods
  • Properties
  • Property Decorators
  • Single Inheritance
  • Slots
  • Descriptors
  • Enumerations
  • Exceptions
  • Metaprogramming

This Python3: Deep Dive Part 4 course takes a closer look at object oriented programming (OOP) in Python.


  • what are classes and instances

  • class data and function attributes

  • properties

  • instance, class and static methods

  • polymorphism and the role special functions play in this

  • single inheritance

  • slots

  • the descriptor protocol and its relationship to properties and functions

  • enumerations

  • exceptions

  • metaprogramming (including metaclasses)


Please note this is NOT a beginner level course. You must have a strong working knowledge of functional Python programming as well as some practical experience developing Python applications in order to fully benefit from this course.

  • In-depth functional Python programming

  • functions, closures, scopes, decorators (using and writing them)

  • zip, sorted, any, all, and the itertools module in general

  • sequences, iterables, iterators and generators (what they are and how to implement the corresponding protocols)

  • generators, yield, and context managers

  • mapping types, hashing and relation to object equality

  • some prior knowledge of basic OOP concepts

  • know how to work with Python virtual environments and pip install

  • available Jupyter Notebook (freely available) to follow along with the course notebooks

  • how to use git

[Please note that this is not a cookbook style course - I don't show you how to solve specific problems, but rather a broad and in-depth look at how OOP works in the context of Python, that will allow you to apply these concepts and techniques to your own problems.]

Taught by

Fred Baptiste

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