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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.

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

Created by Fred Baptiste
Last updated 11/2019
English

Size: 16.64 GB

CONTENT FROM: https://www.udemy.com/course/python-3-deep-dive-part-4/.

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