Instabooks AI (AI Author)
Mastering OOP in Python
Unlocking Object-Oriented Programming Paradigms
Premium AI Book - 200+ pages
Table of Contents
1. The Pillars of OOP in Python- Understanding Classes and Objects
- The Power of Inheritance
- Interfaces and Polymorphism
2. Writing Reusable Code
- Leveraging Modules and Packages
- Design Patterns in Python
- Refactoring for Efficiency
3. Advanced OOP: Beyond the Basics
- Metaclasses and Attributes
- Managing Multiple Inheritance
- Magic Methods & Operator Overloading
4. Practical OOP: Projects and Solutions
- Building a Command-Line Application
- Developing a Web Service with Flask
- Creating a Game with Pygame
5. OOP Design Principles
- SOLID Principles Explained
- Applying the DRY Concept
- Balancing Cohesion and Coupling
6. Python Data Models
- Understanding the Data Model
- Customizing Object Behavior
- The Importance of __slots__
7. Exception Handling in Python
- Basics of Exceptions
- Designing Robust Code
- Custom Exception Types
8. Testing Your OOP Code
- Unit Testing Basics
- Test-Driven Development (TDD)
- Using Mocks and Stubs
9. OOP and Multithreading
- Threads vs. Processes
- Synchronizing Threads
- Threading in GUI Applications
10. Performance Optimization
- Profiling OOP Code
- Optimizing Memory Usage
- Speeding Up Python with Cython
11. Integrating with Other Languages
- Extending Python with C/C++
- Using Python with Java
- The Role of Python in Data Science
12. The Future of OOP in Python
- Keeping Up with Python Updates
- Python's Role in Modern Software
- Evolution of OOP Practices
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