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

MAIN COURSE TOPICS

• 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)

  
  

COURSE PREREQUISITES

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.]