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Python OOP- A Complete Course in Object Oriented Programming

  • Development
  • Jan 22, 2025
SynopsisPython OOP: A Complete Course in Object Oriented Programming,...
Python OOP- A Complete Course in Object Oriented Programming  No.1

Python OOP: A Complete Course in Object Oriented Programming, available at $19.99, with 26 lectures.

You will learn about What is Object-Oriented Programming? Understanding Classes and Objects Procedural vs. Object-Oriented Programming Defining and Creating Classes Class vs. Instance Variables Understanding Instance Methods Method Overloading and Overriding Method Resolution Order (MRO) Implementing Abstraction with Abstract Base Classes (ABCs) Understanding Magic Methods and Operator Overloading Understanding Composition vs. Inheritance Code Organization and Modular Design Writing Clean and Maintainable OOP Code Creating a GUI Application Using OOP This course is ideal for individuals who are Start your programming journey with a strong foundation in Python OOP. or Anyone interested in a comprehensive course Python Object Oriented Programming. It is particularly useful for Start your programming journey with a strong foundation in Python OOP. or Anyone interested in a comprehensive course Python Object Oriented Programming.

Enroll now: Python OOP: A Complete Course in Object Oriented Programming

Summary

Title: Python OOP: A Complete Course in Object Oriented Programming

Price: $19.99

Number of Lectures: 26

Number of Published Lectures: 26

Number of Curriculum Items: 26

Number of Published Curriculum Objects: 26

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

  • What is Object-Oriented Programming?
  • Understanding Classes and Objects
  • Procedural vs. Object-Oriented Programming
  • Defining and Creating Classes
  • Class vs. Instance Variables
  • Understanding Instance Methods
  • Method Overloading and Overriding
  • Method Resolution Order (MRO)
  • Implementing Abstraction with Abstract Base Classes (ABCs)
  • Understanding Magic Methods and Operator Overloading
  • Understanding Composition vs. Inheritance
  • Code Organization and Modular Design
  • Writing Clean and Maintainable OOP Code
  • Creating a GUI Application Using OOP
  • Who Should Attend

  • Start your programming journey with a strong foundation in Python OOP.
  • Anyone interested in a comprehensive course Python Object Oriented Programming.
  • Target Audiences

  • Start your programming journey with a strong foundation in Python OOP.
  • Anyone interested in a comprehensive course Python Object Oriented Programming.
  • Dive into the world of Python and master the powerful concept of Object-Oriented Programming (OOP) with our comprehensive course, “Python OOP: A Complete Course in Object-Oriented Programming.” This course is designed for both beginners and experienced programmers who want to understand and apply OOP principles effectively in their Python projects.

    What You Will Learn:

  • Introduction to OOP Concepts: Understand the core principles of Object-Oriented Programming, including classes, objects, inheritance, polymorphism, encapsulation, and abstraction.

  • Python Classes and Objects: Learn how to define and use classes and objects in Python. Explore how to create and manage objects, attributes, and methods.

  • Inheritance and Polymorphism: Master inheritance to reuse and extend code, and understand polymorphism to write flexible and maintainable code.

  • Encapsulation and Abstraction:Discover how to protect your data and create modular code using encapsulation and abstraction techniques.

  • Advanced OOP Techniques: Dive deeper into advanced topics such as multiple inheritance, operator overloading, method overriding, and the use of decorators in OOP.

  • Real-World Projects:Apply your skills with hands-on projects that involve creating real-world applications and solving complex problems using OOP concepts.

  • Why Choose This Course?

  • Comprehensive Curriculum:Cover everything from basic to advanced OOP concepts, ensuring you gain a thorough understanding of Python OOP.

  • Hands-On Learning:Engage with practical exercises and projects designed to reinforce your learning and help you apply OOP concepts in real-world scenarios.

  • Expert Instructor:Learn from an experienced instructor who provides clear explanations, real-world examples, and practical tips.

  • Lifetime Access: Enjoy unlimited access to course materials, allowing you to learn at your own pace and revisit lessons whenever you need.

  • Career Advancement: Enhance your programming skills and improve your job prospects by mastering OOP in Python, a critical skill for any software developer.

  • Who Should Enroll?

  • Beginner Programmers:Start your programming journey with a strong foundation in Python OOP.

  • Intermediate Developers:Strengthen your understanding of OOP principles and learn how to apply them in Python.

  • Experienced Programmers:Sharpen your OOP skills and learn new techniques to enhance your coding practices.

  • Anyone:Whether you’re new to programming or looking to deepen your Python knowledge, this course is for you!

  • Take the next step in your programming journey by enrolling in “Python OOP: A Complete Course in Object-Oriented Programming.” Master the OOP concepts that will set you apart as a proficient Python developer!  By completing this course, you’ll gain the confidence and skills needed to write clean, efficient, and reusable code using Object-Oriented Programming in Python. Join us now and start your journey to becoming an expert in Python OOP!

    Course Curriculum

    Chapter 1: Module 1: Introduction to Object-Oriented Programming

    Lecture 1: What is Object-Oriented Programming?

    Lecture 2: Understanding Classes and Objects

    Lecture 3: Procedural vs. Object-Oriented Programming

    Chapter 2: Module 2: Classes and Objects

    Lecture 1: Defining and Creating Classes

    Lecture 2: Understanding the __init__ Method

    Lecture 3: Creating and Using Objects

    Lecture 4: Class vs. Instance Variables

    Chapter 3: Module 3: Methods in Python OOP

    Lecture 1: Understanding Instance Methods

    Lecture 2: Class Methods and @classmethod

    Lecture 3: Static Methods and @staticmethod

    Lecture 4: Method Overloading and Overriding

    Chapter 4: Module 4: Inheritance and Polymorphism

    Lecture 1: Introduction to Inheritance

    Lecture 2: Single and Multiple Inheritance

    Lecture 3: Method Resolution Order (MRO)

    Lecture 4: Polymorphism and Method Overriding

    Chapter 5: Module 5: Encapsulation and Abstraction

    Lecture 1: Understanding Encapsulation

    Lecture 2: Public, Protected, and Private Attributes

    Lecture 3: Implementing Abstraction with Abstract Base Classes (ABCs)

    Lecture 4: Practical Examples of Encapsulation and Abstraction

    Chapter 6: Module 6: Advanced OOP Concepts

    Lecture 1: Understanding Magic Methods and Operator Overloading

    Lecture 2: Creating Custom Iterators and Generators

    Lecture 3: Understanding Composition vs. Inheritance

    Chapter 7: Module 7: Working with Real-World Projects

    Lecture 1: Code Organization and Modular Design

    Lecture 2: Writing Clean and Maintainable OOP Code

    Lecture 3: Creating a GUI Application Using OOP

    Lecture 4: Project:- Building a Simple OOP-Based Calculator

    Instructors

  • Python OOP- A Complete Course in Object Oriented Programming  No.2
    Sara Academy
    Programmer | Android Developer | Web Designer | Instructor
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  • Frequently Asked Questions

    How long do I have access to the course materials?

    You can view and review the lecture materials indefinitely, like an on-demand channel.

    Can I take my courses with me wherever I go?

    Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!