- Overview
- Curriculum
- Discussion
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- Instructor
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solve 150+ exercises in Python object-oriented programming - OOP
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namespaces and scopes (local, enclosing, global, built-in)
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LEGB rule
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use of *args and **kwargs
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classes and objects
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visibility of variables (public, protected, private)
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class attributes
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instance attributes
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decorator @property
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computed attributes
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class method, decorator @classmethod
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static method, decorator @staticmethod
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special methods: __new__(), __init__(), __repr__(), __str__(), __len__() and many more
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single inheritance, multiple inheritance
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MRO - Method Resolution Order
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super()
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abstract classes
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the ABC class and the @abstractmethod decorator
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work with documentation and Stack Overflow
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guaranteed instructor support
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completion of all courses in the Python Developer learning path
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basic knowledge of OOP concepts
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programmers or developers who want to deepen their understanding and practical skills in object-oriented programming (OOP) using Python
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students or individuals with a basic knowledge of Python who want to learn and practice OOP concepts and techniques in Python
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software engineers or professionals who want to enhance their ability to design and implement complex software systems using OOP principles in Python
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python developers who are transitioning from procedural programming to object-oriented programming and want to strengthen their skills in this paradigm
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self-learners who prefer a hands-on approach to learning and want to practice implementing OOP concepts and designing classes and objects in Python
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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.
A few words from the author
A few words from the author
Configuration
Configuration
Requirements
Requirements
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Object-oriented programming (OOP) - Intro
Object-oriented programming (OOP) - Intro
Exercise 1
Exercise 1
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Exercise 2
Exercise 2
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Exercise 3
Exercise 3
Solution 3
Solution 3
Exercise 1
Exercise 1
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Solution 1
Exercise 2
Exercise 2
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Solution 2
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Paweł Krakowiak
Instructor
This Course Includes
