Mastering Object-Oriented Programming in Python: From Fundamentals to Advanced Design Patterns
Sub Category
- Data Science
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Objectives
- Core OOP Concepts: Classes, Objects, Methods
- Inheritance: Create class hierarchies
- Polymorphism: Implement flexible behaviors
- Encapsulation & Abstraction: Hide details
- Magic Methods: Customize class operations
- Multiple Inheritance: Use complex class structures
- Design Patterns: Clean and maintainable code
- Dynamic Classes: Modify classes at runtime
- Real-World Projects: Practical OOP applications
- Debug & Optimize: Improve performance and code
Pre Requisites
- Basic Python Programming Knowledge
- Understanding of Data Types & Variables
- Familiarity with Functions and Loops
- Experience with Python Syntax and IDEs
- Problem-Solving and Logical Thinking
- Basic Knowledge of File Handling in Python
- Willingness to Learn OOP Concepts
- Access to a Computer with Python Installed
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. 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!
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