Python Object Oriented Programming (OOP): Beginner to Pro | Udemy

Welcome to the best resource online and the only one you need to learn and master object-oriented programming with modern python!

There has never been a better time to learn python. It is consistently ranked in the top 3 most in-demand and most-loved programming languages in the world, with applications in machine learning, web development, data science, automation, game development, and much more. And its growth shows no signs of stopping.

But while there are plenty of resources to learn the basics of python, it is quite difficult to move past those to the intermediate and advanced facets of the language. This course seeks to address that.

Over more than 20 hours of detailed lectures, live coding, and guided projects we will unpack everything that python has to offer, starting from absolute scratch. We will master not only object-oriented python and how to use it, but in the process also gain an understanding of the python data model and the essence of writing pythonic code.

Every five to ten lectures we will stop and practice what we have covered, as we work through a list of detailed requirements and convert that to an object-oriented solution using nothing by zero-dependencies, pure python.

––––– Structure & Curriculum –––––

The curriculum is organized around three parts of increasing target proficiency.

In the first, we will cover the essential foundations of working with classes in python, defining our own types, customizing them using dunders, exposing managed attributes through properties and effectively using inheritance.

· Classes

· Dunders

· Properties

· Inheritance

Having established that core foundation, in the next five sections, we will dive into more advanced topics that effective python developers rely on. These include modern features like dataclasses, enumerations and slots but also more established, pivotal constructs like descriptors and exceptions.

· Slots

· Dataclasses

· Descriptors

· Enumerations

· Exceptions

Then in the final four sections we will take a look under the hood at how python recognizes and works with types. We will explore, practice and implement several patterns including duck typing, dynamic protocols and abstract base classes. Finally, we will look at the internal machinery that produces classes in python, as we turn our attention to class metaprogramming.

· Dynamic Protocols

· Abstract Base Classes

· Multiple Inheritance

· Class Metaprogramming

This course is intended for anyone who is committed to mastering object-oriented programming with python, regardless of prior experience, which is why a full-length bonus introduction to the python programming language is included to get anyone up and running writing pythonic code in no time.

I hope you commit to joining me in this journey as we take your python to the next level. See you inside!