OOP in Python, Parallel concepts to C++ скачать в хорошем качестве

OOP in Python, Parallel concepts to C++

In this session we’ll map object-oriented concepts you know from C++ to Python, step by step. We’ll define classes and objects, explain constructors and the role of self, show operator overloading, then move into inheritance, polymorphism, and super(). We will cover various types of methods in Python. Throughout, I’ll show equivalent C++ examples so you can see the parallels and the Python idioms. Here’s what we’ll cover in this session. Classes, objects, constructors, init method, and self Access control and encapsulation in Python Name mangling in Python Methods and self keyword Instance and class variables Instance vs class vs static methods: Understanding the difference Operator overloading and magic methods Inheritance Polymorphism Super() in Python Duck typing Abstract class and interface Comparison of C++ and Python OOP Paradigms side by side Stay tuned. We will now transition to formal software development practices grounded in DevOps principles, with a comprehensive focus on core software engineering disciplines, including requirements engineering, quality engineering, software and architectural design, and software re-engineering. 0:00 Introduction 0:38 Classes, objects, constructors, init method, and self 2:23 Access control and encapsulation in Python 4:43 Name mangling in Python 6:54 Methods and self keyword 8:03 Instance and class variables 12:20 Instance vs class vs static methods: Understanding the difference 15:47 Operator overloading and magic methods 19:09 Inheritance 22:00 Polymorphism 23:00 Duck typing 23:22 Super() in Python 24:26 Abstract class and interface 27:03 Comparison of C++ and Python OOP Paradigms side by side Don’t forget to subscribe, hit the bell icon, and follow the series so you never miss an update!