Python OOP: Object Oriented Programming From Beginner to Pro
Perfect introduction to programming & development for beginners starting their learning journey.
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About This Course
This course is for Python developers, of any level, that want to learn everything needed to write elegant, organised, maintainable object-oriented software. Object-oriented programming (OOP) can be confusing for beginners. Most Python courses just teach you about classes, objects, fields and methods - without teaching the crucial concepts that show why organising software in this way is so powerful.
Python developers often then go on to work on object-oriented software, such as web applications built with Django, without having any clue of how to organise their code. This leads to software that is a nightmare to maintain, as adding new features often requires you to make breaking changes to existing working and tested code. I created this course with the goal to demystify OOP for Python developers.
Through clear explanations and real-world examples, we will explore essential OOP concepts such as encapsulation, abstraction, polymorphism, composition, inheritance, dependency injection, UML, SOLID principles, and design patterns - giving you everything that you need to develop great, maintainable and elegant object oriented software. What you will learnThe first part of the course assumes that you're a complete OOP beginner, and introduces the very fundamentals of OOP: classes and objects, attributes and methods, access modifiers, static attributes and static methods, properties vs getters and setters. By the end of this section, you'll have the tools to write and understand object-oriented software…But tools alone aren't enough.
Writing great software requires understanding the principles that help you organise your code effectively. The rest of the course focuses on these time-tested principles, teaching you how to think, refactor, and communicate about well-designed, maintainable, and extendable OOP software. Each concept is introduced with an example that first violates the principle, followed by a discussion of the issues and a refactored solution - helping you to really understand the principle and its applications.
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