
Explore object oriented programming in Python, a language-agnostic approach that organizes code into classes and objects, shows how methods differ from functions, and promotes cleaner, efficient code for large applications.
Delve into Python classes, the self parameter, and attribute naming, and learn how to create objects, print attributes, and follow conventions for clear code.
Learn how methods drive object oriented programming in Python, from built-in and custom methods to using self and constructors. Create a method that evaluates marks and returns pass or fail.
Build a student class with name and marks, implement a result method to return pass or fail, and use a for loop to categorize five students.
Learn to build a python oop product class with an init and a discount method, applying percentage discounts to compute final prices using examples like laptop and mobile.
Define a circle class with a radius parameter and a class variable pi, then implement methods to calculate circumference and area, illustrating reduced code repetition and shared values.
Explore object oriented programming by building a laptop class, managing attributes, and using a dict to inspect and add fields; apply a product class exercise to adjust a class variable.
Examine common class issues in Python object-oriented programming and learn how to enforce nonnegative prices, keep dependent attributes in sync, and use methods and properties to update a phone's specification.
Learn to implement class methods in Python, pass the class as an argument, and use regex to extract name and price from text for object creation and discounts.
Build a date class that uses instance, class, and static methods to format dates as day-month-year, from numeric inputs or user-entered strings, in a three-part exercise.
Explore inheritance in object oriented programming in python, where a smartphone inherits features from a phone class, reducing duplication of attributes like brand, model, and price, and enabling methods.
Explore multiple inheritance in Python, learning how method resolution order selects between parent classes and how to inspect the order with help and __mro__ when using A, B, and C.
Explore method resolution order (MRO) and method overriding in Python, using a phone, smartphone, flagship inheritance chain to show how Python resolves methods and attributes.
Explore isinstance and issubclass in Python to determine object types and class hierarchies, using practical examples with phone, smartphone, and flagship classes.
Explore naming conventions in Python, noting that everything is public by default, and use underscore prefixes to denote private variables, with an apply_discount method.
Learn about name mangling in Python by using double underscores to prefix attributes, enabling class-based naming across inheritance and precise access to class methods.
Learn operator overloading in Python by using dunder methods, applying the plus operator to combine lists and custom phone objects, and implementing add, subtract, and multiply overloads.
Explore polymorphism, the last and most important topic in object oriented programming, and see how a single plus operator can behave differently across phone, smartphone, and flagship classes.
Object-oriented programming (OOP) in Python is important for any software developer because it has a wide usage in the industry. It is a course any software engineers or aspiring software engineers need to put on their catalog to learn and master well because of its importance.
OOP utilizes the concept of objects and classes and it is an important programming model for representing real objects as software objects. As a software developer or engineer, you need to learn an important concept in this type of programming putting into consideration many practical examples.
This course features various exercises that will help you learn object-oriented programming in Python, and build programs faster. This object-oriented programming course exists for software engineers and developers because of its significance and numerous advantages in the software industry.
Furthermore, it is a popular programming model with its many advantages and vital existence in every aspect of software apart from the fact that it's easy to learn, read and understand within a short time. The course put more focus on the thinking process, the implementation of what the developer is trying to manipulate other than the required logic to manipulate it.
Why should I learn this course?
Modularity: encapsulation enables objects to be self-contained and gives a clear modular structure for collaboration and troubleshooting code.
Easy programming: It makes programming easier, and use for solving problems in a more creative process by breaking the program into bit-sized problems which are then solved easily.
Increase productivity: Object-oriented programming guarantees greater programmer productivity, better quality software, and a low cost of maintenance. Learn programming languages to help you create outstanding professional programs and codes that are understandable, adaptable, and extendable.
Learning from professionals: the program is designed to be learned from a pool of experienced experts in the field of software programming. The course is integrated with the practical experience of well-known experts which makes learning easier.
The Ultimate Object-Oriented Programming in Python Course for Beginners
Learning Object-oriented programming as a beginner requires an understanding of how to implement and take advantage of the features that are available in OOP (Object-oriented programming) which can be discouraging. Having an Insight into the various functionalities of Object-oriented programming is very essential since it's one of the most prominent coding methods which allows programmers to create a unique structure, reuse code, and develop code faster.