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Python for OOP - The A to Z OOP Python Programming Course

Python for OOP - The A to Z OOP Python Programming Course

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Highlights

  • On-Demand course

  • 3 hours 59 minutes

  • All levels

Description

Learn to write scalable, reusable, and maintainable code by leveraging the OOP concepts in Python. This comprehensive OOP course covers essential concepts, such as encapsulation, inheritance, and polymorphism. The last section of this course covers a real-world library management system project.

Object-Oriented Programming (OOP) is a crucial paradigm in modern programming that allows developers to write efficient, modular, and scalable code. It helps in organizing code, creating reusable and maintainable code, and improving code readability. In this course, we will dive deep into OOP concepts and provide you with a solid understanding of the fundamentals, advanced topics, and real-world applications of OOP in Python. This course covers a wide range of topics, starting with the basics of OOP, including classes, objects, attributes, methods, and constructors. You will learn about encapsulation, abstraction, inheritance, and polymorphism, which are the building blocks of OOP. You will also explore advanced concepts such as class methods, static methods, operator overloading, and dunder methods, along with practical examples and exercises to solidify your understanding. To apply the concepts learned, you will build a real-world project, the Library Management System, where you will learn to create classes, objects, and methods for managing books and users. You will also gain hands-on experience with method overriding, multiple inheritances, and other advanced topics while building practical applications. By the end of this course, you will have a deep understanding of OOP concepts in Python, be able to build robust and scalable applications using OOP principles, and possess the skills to write clean, efficient, and maintainable Python code.

What You Will Learn

Understand the fundamentals of Object-Oriented Programming in Python
Build real-world projects using OOP concepts in Python
Apply polymorphism in object-oriented styles using multiple strategies
Implement OOP principles to create reusable and maintainable Python code
Build a Library Management System using OOP concepts
Master the use of classes, objects, attributes, methods, and constructors in Python

Audience

This course is tailored for programmers and developers who aspire to deepen their understanding of Object-Oriented Programming (OOP) concepts and apply them in real-world applications. It is well-suited for beginners who are already familiar with Python basics and are looking to transition into OOP programming. Intermediate Python developers seeking to enhance their coding skills and learn advanced OOP topics will also find value in this course.

Prior knowledge of Python programming concepts is required, including variables, data types, loops, and functions. If you are eager to learn and apply OOP principles practically in Python, this comprehensive course will provide you with the knowledge and skills needed to succeed.

Approach

The course adopts a practical and hands-on learning approach, combining theoretical concepts with practical examples and exercises. You will learn through coding demonstrations, real-world projects, and application of OOP principles in Python. The course emphasizes active learning, allowing you to build your own coding skills and gain confidence in applying OOP concepts in real-world scenarios.

Key Features

In-depth exploration of OOP concepts, including classes, objects, attributes, and methods * Detailed coverage of core OOP topics, such as encapsulation, inheritance, and polymorphism * Practical examples and exercises to reinforce understanding and application of OOP principles

Github Repo

https://github.com/PacktPublishing/Python-for-OOP---The-A-to-Z-OOP-Python-Programming-Course

About the Author

Meta Brains

Meta Brains is a professional training brand developed by a team of software developers and finance professionals who have a passion for finance, coding, and Excel. They bring together both professional and educational experiences to create world-class training programs accessible to everyone. Currently, they're focused on the next great revolution in computing: The Metaverse. Their ultimate objective is to train the next generation of talent so that we can code and build the metaverse together!

Course Outline

1. Introduction

1. Introduction to Object-Oriented Programming

In this video, you will learn the basics of object-oriented programming. You will understand the concept of objects and classes, and this video will provide a comprehensive overview of OOP in Python and its advantages.


2. Classes and Objects

1. Create Your First Class with OOP

In this video, you will learn how to create your first class in Python using OOP principles. You will understand the syntax for defining a class, creating objects, and initializing attributes. This video will provide a step-by-step guide on creating a basic class structure and using it to instantiate objects.

2. Classes in Detail

In this video, you will take an in-depth look at classes in Python, including their structure, usage, and benefits. You will also explore the importance of __init__ and self in class code, using practical examples for better understanding.

3. Exercise on Class

In this video, you will apply what you have learned about classes through a practical exercise. You will be given a problem statement and will learn how to design and implement a class to solve the problem. This exercise will help you reinforce your understanding of class concepts and gain hands-on experience in creating classes.

4. Methods

In this video, you will learn about methods, which are functions defined within a class. You will understand the different types of methods, such as instance methods, class methods, and static methods, and how to use them in your classes. This video will provide a comprehensive overview of methods and their usage in Python classes.

5. Exercise 1 on Methods

In this video, you will apply what you have learned about methods through a practical exercise. You will be given a problem statement and will learn how to design and implement methods to solve the problem. This exercise will help you reinforce your understanding of different types of methods and their implementation.

6. Exercise 2 on Methods

In this video, you will continue to apply your knowledge of methods through another practical exercise. You will be given a more complex problem statement and will learn how to design and implement methods to solve the problem. This exercise will challenge you to think critically and apply your knowledge of methods effectively.

7. Class Variables

In this video, you will learn about class variables, which are shared by all instances of a class. You will understand how to define and use class variables, and how they differ from instance variables. This video will provide a comprehensive understanding of class variables and their usage in Python classes.

8. Exercise on Class Variables

In this video, you will explore class variables in Python OOP, how they differ from instance variables, and their use cases in creating shared attributes among class instances.

9. Object Techniques + Class Variables (Part 1)

In this video, you will dive into an exercise on class variables, where you will practice creating and manipulating class variables to understand their behavior and usage in OOP.

10. Object Techniques + Class Variables (Part 2)

In this video, you will explore advanced object techniques in Python, such as using class variables in conjunction with objects to create powerful and dynamic OOP structures.

11. Issue in Class

In this video, you will continue our exploration of object techniques in Python OOP, focusing on more advanced usage of class variables, including class methods and inheritance.


3. Types of Methods

1. Class Method (Part 1)

In this video, you will dive into the concept of class methods in Python. You will learn how to define and use class methods, which are methods that are bound to the class and not the instance of the class. This video will cover the basics of class methods and their syntax.

2. Class Method (Part 2)

Building upon the previous video, this video will provide further insights into class methods in Python. You will learn about the @classmethod. This video will deepen your understanding of class methods and their advanced usage.

3. Static Method

In this video, you will explore static methods in Python. You will understand the concept of static methods, which are methods that do not depend on the state of the instance or the class, and how to define and use them in your classes. This video will provide a comprehensive overview of static methods and their usage in Python.

4. Exercise on Static Method (Part 1)

In this video, you will apply what you have learned about static methods through a practical exercise. You will be given a problem statement and will learn how to design and implement static methods to solve the problem. This exercise will help you reinforce your understanding of static methods and their implementation.

5. Exercise on Static Method (Part 2)

Continuing from the previous video, this exercise will provide further challenges in designing and implementing static methods to solve complex problems. You will apply your knowledge of static methods and their advanced usage to tackle real-world scenarios. This exercise will enhance your problem-solving skills and deepen your understanding of static methods.

6. Exercise on Static Method (Part 3)

In this video, you will continue to apply your knowledge of static methods through another practical exercise. You will be given more challenging problem statements and will learn how to design and implement static methods to solve them. This exercise will further refine your skills in using static methods effectively in Python classes.


4. OOP Building Blocks

1. Abstraction and Encapsulation

In this video, you will learn about abstraction and encapsulation, two important principles of OOP. You will understand how abstraction allows you to hide complex details and expose only the essential features of a class, and how encapsulation allows you to restrict access to the internal state of objects. This video will provide a clear understanding of abstraction and encapsulation and their significance in writing robust and maintainable code.

2. Introduction to Inheritance

Building upon the previous video, this video will introduce you to the concept of inheritance in Python. You will learn how to create and use subclasses that inherit attributes and methods from a parent class. This video will cover the basics of inheritance, including single inheritance, and how it promotes code reuse and extensibility.

3. Multilevel Inheritance: Part 1

In this video, you will explore the concept of multilevel inheritance in Python. You will learn how to create classes that inherit from multiple levels of parent classes, allowing for a more complex class hierarchy. This video will provide in-depth explanations of multilevel inheritance and its usage in OOP.

4. Multiple Inheritance: Part 2

Continuing from the previous video, this video will cover multiple inheritance in Python, which allows a class to inherit from more than one parent class. You will learn about the method resolution order (MRO) and how to handle conflicts that may arise from multiple inheritance. This video will provide comprehensive insights into multiple inheritance and its advanced usage.

5. Method Overriding and MRO

In this video, you will learn about method overriding, which allows a subclass to provide a new implementation of a method inherited from a parent class. You will also understand the concept of method resolution order (MRO), which determines the order in which Python looks for methods in a class hierarchy. This video will provide a thorough understanding of method overriding and MRO in Python.

6. isinstance() and issubclass()

In this video, you will learn about the isinstance() and issubclass() built-in functions in Python, which are used to determine object types and class relationships, respectively. You will understand how to use these functions to check if an object is an instance of a particular class or if a class is a subclass of another class. This video will provide practical examples and use cases of isinstance() and issubclass().

7. Naming Convention

In this video, you will learn about naming conventions in Python classes and objects. You will understand the importance of following naming conventions for better code readability and maintainability. This video will cover the commonly used naming conventions for classes, methods, attributes, and other elements in Python, and best practices for naming conventions.

8. Name Mangling in Python

In this video, you will explore name mangling in Python, a technique to change class attribute names to avoid conflicts. You will learn how to create private attributes using name mangling and understand the rules and conventions associated with it.

9. Dunder Methods or Magic Methods

In this video, you will dive into dunder (double underscore) methods or magic methods in Python. You will learn how these special methods allow you to customize the behavior of classes and objects and gain a deep understanding of their practical applications.

10. Operator Overloading

In this video, you will learn about operator overloading in Python, which allows you to redefine the behavior of operators for custom classes. You will learn how to implement operator overloading to make your classes more powerful and flexible.

11. Polymorphism

In this video, you will explore the concept of polymorphism, a fundamental concept in OOP, and how it enables objects of different classes to be used interchangeably. You will learn about different types of polymorphism, including method overriding and operator overloading, and understand their applications in Python.


5. Python OOP Project: Library Management System

1. Python OOP Project: Part 1

In this video, you will start building the library management system project. You will create a library object that includes the name of the owner and a list of all the books available in the library. You will then implement functions to create, add, and retrieve books in the library. This video will provide a comprehensive overview of the project and set the foundation for further development.

2. Python OOP Project: Part 2

Continuing from the previous video, you will pick up where you left off and correct any errors in the code. You will then work on the execution part of the Library Management System project, including implementing functionalities to update and delete books from the library. This video will provide practical demonstrations of how to further enhance the functionality of the library management system project.

Course Content

  1. Python for OOP - The A to Z OOP Python Programming Course

About The Provider

Packt
Packt
Birmingham
Founded in 2004 in Birmingham, UK, Packt’s mission is to help the world put software to work in new ways, through the delivery of effective learning and i...
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