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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

Requirements

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

Last Updated 12/2022

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by johnnykoeis:_male:
    on 2024-02-23 09:10:09
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