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via Udemy |
Go to Course: https://www.udemy.com/course/python-object-oriented-programming-oops/
Certainly! Here is a detailed review and recommendation for the Coursera course "Python Object Oriented Programming (OOPs)": --- **Course Title:** Python Object Oriented Programming (OOPs) **Platform:** Coursera **Rating:** Highly Recommended for Beginners with Basic Python Knowledge --- **Overview:** If you already have a foundational understanding of Python, the "Python Object Oriented Programming (OOPs)" course is an excellent next step to deepen your understanding of programming paradigms. This course is tailored specifically for beginners eager to grasp the core concepts of object-oriented programming in Python. It effectively bridges the gap between basic Python knowledge and advanced programming techniques that utilize objects and classes. **What You Will Learn:** - The concept of classes and objects, and why they are essential in organizing code. - How to define classes and create objects with specific attributes and behaviors. - Core object-oriented principles such as inheritance, encapsulation, polymorphism, and data abstraction. - Practical understanding of how real-world entities are modeled in Python using OOPs. - Benefits of object-oriented design, including reusability, scalability, and organization. **Course Content Explanation:** The course starts with fundamental concepts like classes, which serve as blueprints for creating objects—entities with attributes (data) and methods (functions). It explains that instead of managing data with unordered lists or dictionaries, classes offer an organized way to encapsulate data and behavior, making code more manageable and extensible. It also introduces real-world examples, like tracking multiple dogs with different attributes, to illustrate why classes are necessary. The course emphasizes understanding objects as entities that have a state and behaviors, using common objects like numbers, strings, lists, and dictionaries to build intuition. **Why This Course is Valuable:** - It provides a clear, beginner-friendly introduction to OOP concepts. - It enhances your ability to write organized, reusable, and scalable code. - It prepares you for more advanced Python topics and software design patterns. - The course offers practical insights that can be directly applied to real-world programming projects. **Recommendation:** I highly recommend this course for anyone who has a basic understanding of Python and wants to explore the powerful features of object-oriented programming. It’s an ideal step to elevate your programming skills, making your code more modular and easier to maintain. Whether you are a student, a hobbyist, or a professional developer, mastering OOPs in Python will significantly enhance your coding proficiency. **Final Verdict:** Enroll in "Python Object Oriented Programming (OOPs)" on Coursera to build a strong foundation in OOP concepts. Its beginner-friendly approach, combined with practical examples, makes it a valuable addition to your Python learning journey. Happy coding! --- Let me know if you'd like a more concise version or additional details!
If you already know Python basics, then this course is the next step in your Python learning path to becoming a Python programmer.this course is specially made for beginners, who want to understand what is object-oriented programming in Python.In Python, object-oriented Programming (OOPs) is a programming paradigm that uses objects and classes in programming. It aims to implement real-world entities like inheritance, polymorphisms, encapsulation, etc. in the programming. The central concept of OOPs is to bind the data and the functions that work on that together as a single unit so that no other part of the code can access this data.Main Concepts of Object-Oriented Programming (OOPs)ClassObjectsPolymorphismEncapsulationInheritanceData AbstractionClassA class is a collection of objects. A class contains the blueprints or the prototype from which the objects are being created. It is a logical entity that contains some attributes and methods.To understand the need for creating a class let's consider an example, let's say you wanted to track the number of dogs that may have different attributes like breed, and age. If a list is used, the first element could represent the dog's breed while the second could represent its age. Let's suppose there are 100 different dogs, then how would you know which element is supposed to be which? What if you wanted to add other properties to these dogs? This lacks organization and it's the exact need for classes.ObjectsThe object is an entity that has a state and behavior associated with it. It may be any real-world object like a mouse, keyboard, chair, table, pen, etc. Integers, strings, floating-point numbers, even arrays, and dictionaries, are all objects. More specifically, any single integer or any single string is an object. The number 12 is an object, the string "Hello, world" is an object, a list is an object that can hold other objects, and so on. You've been using objects all along and may not even realize it.