150+ Exercises Object Oriented Programming in Python OOP

150+ Exercises – Object Oriented Programming in Python – OOP, available at $49.99, has an average rating of 4.65, with 164 lectures, 152 quizzes, based on 110 reviews, and has 36026 subscribers.

You will learn about solve 150+ exercises in Python object-oriented programming – OOP namespaces and scopes (local, enclosing, global, built-in) LEGB rule use of *args and **kwargs classes and objects visibility of variables (public, protected, private) class attributes instance attributes decorator @property computed attributes class method, decorator @classmethod static method, decorator @staticmethod special methods: __new__(), __init__(), __repr__(), __str__(), __len__() and many more single inheritance, multiple inheritance MRO – Method Resolution Order super() abstract classes the ABC class and the @abstractmethod decorator work with documentation and Stack Overflow guaranteed instructor support This course is ideal for individuals who are programmers or developers who want to deepen their understanding and practical skills in object-oriented programming (OOP) using Python or students or individuals with a basic knowledge of Python who want to learn and practice OOP concepts and techniques in Python or software engineers or professionals who want to enhance their ability to design and implement complex software systems using OOP principles in Python or python developers who are transitioning from procedural programming to object-oriented programming and want to strengthen their skills in this paradigm or self-learners who prefer a hands-on approach to learning and want to practice implementing OOP concepts and designing classes and objects in Python or developers from other programming languages who want to learn how to apply OOP concepts specifically in the context of Python programming It is particularly useful for programmers or developers who want to deepen their understanding and practical skills in object-oriented programming (OOP) using Python or students or individuals with a basic knowledge of Python who want to learn and practice OOP concepts and techniques in Python or software engineers or professionals who want to enhance their ability to design and implement complex software systems using OOP principles in Python or python developers who are transitioning from procedural programming to object-oriented programming and want to strengthen their skills in this paradigm or self-learners who prefer a hands-on approach to learning and want to practice implementing OOP concepts and designing classes and objects in Python or developers from other programming languages who want to learn how to apply OOP concepts specifically in the context of Python programming.

Enroll now: 150+ Exercises – Object Oriented Programming in Python – OOP

Summary

Title: 150+ Exercises – Object Oriented Programming in Python – OOP

Price: $49.99

Average Rating: 4.65

Number of Lectures: 164

Number of Quizzes: 152

Number of Published Lectures: 164

Number of Published Quizzes: 152

Number of Curriculum Items: 316

Number of Published Curriculum Objects: 316

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

solve 150+ exercises in Python object-oriented programming – OOP

namespaces and scopes (local, enclosing, global, built-in)

LEGB rule

use of *args and **kwargs

classes and objects

visibility of variables (public, protected, private)

class attributes

instance attributes

decorator @property

computed attributes

class method, decorator @classmethod

static method, decorator @staticmethod

special methods: __new__(), __init__(), __repr__(), __str__(), __len__() and many more

single inheritance, multiple inheritance

MRO – Method Resolution Order

super()

abstract classes

the ABC class and the @abstractmethod decorator

work with documentation and Stack Overflow

guaranteed instructor support

Who Should Attend

programmers or developers who want to deepen their understanding and practical skills in object-oriented programming (OOP) using Python

students or individuals with a basic knowledge of Python who want to learn and practice OOP concepts and techniques in Python

software engineers or professionals who want to enhance their ability to design and implement complex software systems using OOP principles in Python

python developers who are transitioning from procedural programming to object-oriented programming and want to strengthen their skills in this paradigm

self-learners who prefer a hands-on approach to learning and want to practice implementing OOP concepts and designing classes and objects in Python

developers from other programming languages who want to learn how to apply OOP concepts specifically in the context of Python programming

Target Audiences

programmers or developers who want to deepen their understanding and practical skills in object-oriented programming (OOP) using Python

students or individuals with a basic knowledge of Python who want to learn and practice OOP concepts and techniques in Python

software engineers or professionals who want to enhance their ability to design and implement complex software systems using OOP principles in Python

python developers who are transitioning from procedural programming to object-oriented programming and want to strengthen their skills in this paradigm

self-learners who prefer a hands-on approach to learning and want to practice implementing OOP concepts and designing classes and objects in Python

developers from other programming languages who want to learn how to apply OOP concepts specifically in the context of Python programming

The “150+ Exercises – Object Oriented Programming in Python – OOP” course is an extensive, hands-on program designed to provide a deep understanding of Object-Oriented Programming (OOP) concepts using Python. This course is perfect for learners aiming to solidify their Python programming skills, with a particular emphasis on OOP principles.

The course is structured into several sections, each focusing on different OOP concepts including classes and objects, inheritance, polymorphism, abstraction, and encapsulation. It covers everything from the basics of creating and using classes, to more advanced topics like inheritance and polymorphism.

Each section comprises numerous exercises designed to reinforce the concepts learned. The problems vary in difficulty, from simple class creation tasks to complex challenges involving multiple classes and inheritance. Every exercise is followed by a detailed solution, facilitating a comprehensive understanding of the application of OOP principles.

The “150+ Exercises – Object Oriented Programming in Python – OOP” course is ideal for Python programmers who want to deepen their understanding of OOP and improve the quality and efficiency of their code. Whether you’re new to programming or an experienced developer looking to learn OOP in Python, this course offers a valuable learning experience.

Unleash the Power of Object-Oriented Magic!

Object-oriented programming (OOP) is a programming paradigm widely used in Python and many other languages. In Python, OOP allows developers to organize code into reusable, self-contained objects that encapsulate data and behavior. These objects are created from classes, which serve as blueprints for creating multiple instances.

The key concepts of OOP in Python include classes, objects, inheritance, and polymorphism. Classes define the structure and behavior of objects, while objects are instances of classes that can hold data (attributes) and perform actions (methods). Inheritance enables the creation of hierarchical relationships between classes, allowing subclasses to inherit and extend the properties of parent classes. Polymorphism allows objects of different classes to be treated interchangeably, enhancing flexibility and code reusability.

By using OOP in Python, developers can achieve modularity, abstraction, and code reuse, making it easier to build and maintain complex software systems. OOP facilitates the creation of modular, extensible, and maintainable code, promoting concepts such as encapsulation, separation of concerns, and code organization. Python’s support for OOP provides a powerful way to design and implement scalable, efficient, and flexible applications.

Course Curriculum

Chapter 1: Tips

Lecture 1: A few words from the author

Lecture 2: Configuration

Lecture 3: Requirements

Chapter 2: Starter

Lecture 1: Solution 0

Lecture 2: Object-oriented programming (OOP) – Intro

Chapter 3: Namespaces and Scopes

Lecture 1: Solution 1

Lecture 2: Solution 2

Lecture 3: Solution 3

Chapter 4: The LEGB rule

Lecture 1: Solution 1

Lecture 2: Solution 2

Lecture 3: Solution 3

Lecture 4: Solution 4

Lecture 5: Solution 5

Chapter 5: Reminder: *args and **kwargs

Lecture 1: Solution 1

Lecture 2: Solution 2

Chapter 6: Classes – the basics

Lecture 1: Solution 1

Lecture 2: Solution 2

Lecture 3: Solution 3

Lecture 4: Solution 4

Lecture 5: Solution 5

Lecture 6: Solution 6

Lecture 7: Solution 7

Lecture 8: Solution 8

Lecture 9: Solution 9

Lecture 10: Solution 10

Lecture 11: Solution 11

Lecture 12: Solution 12

Lecture 13: Solution 13

Chapter 7: Class attributes

Lecture 1: Solution 1

Lecture 2: Solution 2

Lecture 3: Solution 3

Lecture 4: Solution 4

Lecture 5: Solution 5

Lecture 6: Solution 6

Lecture 7: Solution 7

Lecture 8: Solution 8

Lecture 9: Solution 9

Lecture 10: Solution 10

Lecture 11: Solution 11

Chapter 8: Instance attributes

Lecture 1: Solution 1

Lecture 2: Solution 2

Lecture 3: Solution 3

Lecture 4: Solution 4

Lecture 5: Solution 5

Lecture 6: Solution 6

Lecture 7: Solution 7

Chapter 9: The __init__() method

Lecture 1: Solution 1

Instructors

Pawe? Krakowiak
Python Developer/Data Scientist/Stockbroker

Rating Distribution

1 stars: 4 votes

2 stars: 3 votes

3 stars: 10 votes

4 stars: 25 votes

5 stars: 68 votes

Frequently Asked Questions

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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!