Udemy A Magical Tour Through Object–Oriented Programming in Python

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 Udemy A Magical Tour Through Object–Oriented Programming in Python

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Published: 12/2024
Created by: Stephen Gruppetta
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 48 Lectures ( 4h 40m ) | Size: 4.8 GB


Welcome to Hogwarts School of Codecraft and Algorithmancy

What you'll learn


The mindset and key concepts of object-oriented programming in Python
How to define classes with data attributes and methods
How to use special methods to integrate classes with Python's core features
How to use inheritance and other topics in Python OOP

Requirements


Students should be familiar with basic Python programming, including defining functions

Description


This course covers Object-Oriented Programming in Python using a different approach. It's a tour of object-oriented programming (OOP) through a Harry Potter-themed extended example.Welcome to Hogwarts School of Codecraft and Algorithmancy!The course covers:OOP fundamentals and mindset—what's different about OOP and why do we need it?Creating classes, defining `.__init__()` and understanding what it does, and creating data attributesDefining methods to give objects the ability to do stuffInteraction between different classesInheritance in OOPSpecial methods, also known as dunder methodsClass attributes and class methodsIt's not your usual OOP course.---About me, your instructorI've been teaching Python for a decade. Before that, I worked as a physicist and used programming in my research work for over a decade.My focus is on communicating clearly, in a friendly and relaxed manner. I'm the author of the The Python Coding Book (you can ask Google for a "python book" and you'll find this book as one of the first entries) and I have taught Python to individuals and corporations around the world.And I'm approachable. You can ask me questions and I'll always reply, whether here on social media or anywhere else you can find me!

Who this course is for


Students who are ready to move on to the next stage of their Python learning, who have, perhaps, struggled in the past to understand OOP
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