Fred Baptiste – Python 3: Deep Dive (Part 4 – OOP)

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 File Size:16.64 GB

Fred Baptiste – Python 3: Deep Dive (Part 4 – OOP)

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

Get immediately download Fred Baptiste – Python 3: Deep Dive (Part 4 – OOP)

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