Udemy Python 3: Deep Dive (Part 4 - OOP)

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

Requirements​

• Strong knowledge of functional Python
• Closures and Decorators
• Iterators, Iterables and Generators
• Mapping Types, Hashing
• Some exposure to basic OOP

Description​

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.]

Who this course is for:​

• Experienced intermediate Python developers who want a more in-depth understanding of Python OOP