Python Object Oriented Programming (OOP)- Beginner to Pro

Python Object Oriented Programming (OOP): Beginner to Pro, available at $84.99, has an average rating of 4.49, with 231 lectures, based on 525 reviews, and has 4245 subscribers.

You will learn about Learn Python object-oriented programming from the ground up with in-depth lectures and practice activities Work through 16 detailed project assignments to put your learning to practice Write your own classes with customized behavior, representation, and relationships Understand inheritance and multiple inheritance including best practices and the ideal use cases Understand modern language constructs like dataclasses, enumerations, slots, and more Master the Pythonic style of working with types, built-ins, and their derivatives Get a deep understanding of the more difficult parts including descriptors, abstract base classes and metaprogramming Create your own version of data structures with special behaviour, e.g. a list that sorts itself, or a dictionary that never raises KeyError Work effectively with the exceptions and define your own separate exception hierarchies This course is ideal for individuals who are Everyone interested in learning and mastering object-oriented python from the ground up or Learners with some Python experience who want to take their skill to the next level or Python developers who want to gain a deeper understanding It is particularly useful for Everyone interested in learning and mastering object-oriented python from the ground up or Learners with some Python experience who want to take their skill to the next level or Python developers who want to gain a deeper understanding.

Enroll now: Python Object Oriented Programming (OOP): Beginner to Pro

Summary

Title: Python Object Oriented Programming (OOP): Beginner to Pro

Price: $84.99

Average Rating: 4.49

Number of Lectures: 231

Number of Published Lectures: 231

Number of Curriculum Items: 231

Number of Published Curriculum Objects: 231

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

Learn Python object-oriented programming from the ground up with in-depth lectures and practice activities

Work through 16 detailed project assignments to put your learning to practice

Write your own classes with customized behavior, representation, and relationships

Understand inheritance and multiple inheritance including best practices and the ideal use cases

Understand modern language constructs like dataclasses, enumerations, slots, and more

Master the Pythonic style of working with types, built-ins, and their derivatives

Get a deep understanding of the more difficult parts including descriptors, abstract base classes and metaprogramming

Create your own version of data structures with special behaviour, e.g. a list that sorts itself, or a dictionary that never raises KeyError

Work effectively with the exceptions and define your own separate exception hierarchies

Who Should Attend

Everyone interested in learning and mastering object-oriented python from the ground up

Learners with some Python experience who want to take their skill to the next level

Python developers who want to gain a deeper understanding

Target Audiences

Everyone interested in learning and mastering object-oriented python from the ground up

Learners with some Python experience who want to take their skill to the next level

Python developers who want to gain a deeper understanding

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 foundationsof 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 constructslike descriptors and exceptions.

· Slots

· Dataclasses

· Descriptors

· Enumerations

· Exceptions

Then in the final four sections we will take a look under the hoodat 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!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: All Course Resources

Chapter 2: Classes

Lecture 1: Section Intro

Lecture 2: PEP8

Lecture 3: Our First Class

Lecture 4: Class State

Lecture 5: Methods And Behaviour

Lecture 6: Instance Attributes

Lecture 7: Alternatively: getattr() And setattr()

Lecture 8: Revisting self

Lecture 9: Skill Challenge #1

Lecture 10: Solution

Lecture 11: Class and Static Methods

Lecture 12: BONUS: An Alternative Syntax

Lecture 13: Dunder Dict

Lecture 14: Class vs Instance __dict__

Lecture 15: BONUS: Careful With Mutables

Lecture 16: Access Control

Lecture 17: Docstrings

Lecture 18: Skill Challenge #2

Lecture 19: Solution

Lecture 20: Quick Gotcha

Lecture 21: Section Resources

Chapter 3: Dunders

Lecture 1: Section Intro

Lecture 2: Lets Add A __repr__

Lecture 3: __repr__ vs __str__

Lecture 4: __format__

Lecture 5: Object Equality

Lecture 6: BONUS: Non-Equality

Lecture 7: Hashing and Mutability

Lecture 8: Hashable Book

Lecture 9: BONUS: Hashing Gotcha

Lecture 10: Skill Challenge #3

Lecture 11: Solution

Lecture 12: Other Rich Comparisons

Lecture 13: A Better Way

Lecture 14: Truthiness

Lecture 15: BONUS: Truth Value Testing Via __len__

Lecture 16: Container Classes

Lecture 17: Pythonic Add

Lecture 18: The __getitem__ Magic

Lecture 19: Defining Our Own Magics

Lecture 20: Skill Challenge #4

Lecture 21: Solution

Lecture 22: Section Resources

Chapter 4: Properties

Lecture 1: Section Intro

Lecture 2: Loyal Customers

Lecture 3: Always Start Plain

Lecture 4: A Refactor

Lecture 5: Private And Mangled Attributes

Lecture 6: Breaking Changes

Lecture 7: Properties Live In The Class

Lecture 8: Skill Challenge #5

Lecture 9: Solution

Lecture 10: Decorator Syntax

Lecture 11: BONUS: Decorators Refresher

Lecture 12: Read or Write Only Properties

Lecture 13: Managed Attributes

Lecture 14: BONUS: Caching Average Review

Lecture 15: Deleting Properties

Lecture 16: Property Docstrings

Lecture 17: Skill Challenge #6

Lecture 18: Solution

Lecture 19: Section Resources

Chapter 5: Inheritance

Lecture 1: Section Intro

Lecture 2: Inheritance

Lecture 3: What Is Inheritance Good For?

Lecture 4: All Classes Inherit From object

Lecture 5: Method Resolution Order

Lecture 6: Subclass Overrides

Lecture 7: Better Parent Delegation: super()

Lecture 8: Subclass __init__

Lecture 9: Skill Challenge #7

Lecture 10: Solution

Lecture 11: Subclassing Properties

Lecture 12: Extending Built-ins

Lecture 13: Another Example

Lecture 14: Beware The Pitfalls

Lecture 15: Beyond Inheritance

Lecture 16: Skill Challenge #8

Lecture 17: Solution

Lecture 18: Section Resources

Chapter 6: Slots

Lecture 1: Section Intro

Lecture 2: Instance Data Storage Review

Lecture 3: Slots

Lecture 4: Class Residents

Lecture 5: BONUS: Demonstrating The Memory Advantage

Lecture 6: Inheriting Slots

Lecture 7: Something To Avoid

Lecture 8: Should We Always Use Slots?

Lecture 9: Skill Challenge #9

Lecture 10: Solution

Lecture 11: Section Resources

Chapter 7: Dataclasses

Instructors

Andy Bek
Software Consultant

Rating Distribution

1 stars: 12 votes

2 stars: 7 votes

3 stars: 45 votes

4 stars: 151 votes

5 stars: 310 votes

Frequently Asked Questions

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