What would you learn in Learn Object-Oriented Programming with Python course?
This course focuses on the fundamentals of object-oriented programing (OOP) and design with Python. It is said that the OOP method is a method to write code that is reminiscent of real-world objects. Knowing the fundamentals of OOP is crucial for Python because each piece of Python code works with classes and objects.
This course provides everything you will need to comprehend and master concepts of object-oriented design like objects, classes, methods, data abstraction inheritance, and method overloading. In this course, you will be exposed to various examples that will help you fully comprehend the concepts and create your application code for real-world scenarios.
The program's primary goal is to allow students to solve complex programming challenges while utilizing the OOP method to streamline the design and implementation process.
Students should be proficient with Python programming to benefit the most from this course. If you aren't familiar with Python, it is recommended to take a look at our Python Beginner and Intermediate classes before taking this course.
After completing this course, students should be capable of:
Explain the concept in the concept of object-oriented model. Build class hierarchy using the process of designing with objects.
Learn the distinction between instances and class variables and between instance, class, and static methods.
Create an object that is accessible (like lists) and calling (like functions) and also comparable (like numbers).
Create and develop Python programs to solve complex issues using the language's features like inheritance and classes.
Course Content:
- Define the significance and purpose of this paradigm. Build class hierarchy using the process of designing with objects
- Learn the distinction between the two types of variables: instance and class, and the distinction between instance method, class method, and static method.
- Make the object searchable (like lists) as well as calling (like functions) and also comparable (like a number).
- Develop Python programs to solve complex issues using the language's features, such as inheritance and classes.
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