Advanced Python – OOP, Decorators, Async & More!

*Advanced Python Course – Master Python with OOP, Decorators, Async & More*

Welcome to the Advanced Python Course! This course is designed for those who already have a basic understanding of Python and are looking to level up their skills. Throughout this course, we will dive deep into Python’s advanced features, including custom decorators, lambda functions, exception handling, asynchronous programming, and much more!

*What You’ll Learn:*
💡 Advanced Functions: Learn how to use *args and **kwargs to handle variable numbers of arguments.
🛠️ Custom Decorators: Create decorators for logging and controlling function execution.
🔐 Authentication Decorators: Secure your functions with authentication and access control.
🌍 Global and Local Variables: Understand the scope of variables in Python.
⚡ Lambda Functions: Master the use of lambda functions with map(), filter(), reduce(), and sorting.
📦 Object-Oriented Programming (OOP): Learn the fundamentals of classes and dive into advanced OOP concepts like multiple inheritance, encapsulation, and polymorphism.
🔄 Iterators and Generators: Learn memory-efficient iteration techniques.
⚠️ Exception Handling: Master error handling with try, except, and finally.
📂 File Handling: Read, write, and append to files programmatically.
🔄 Asynchronous Programming: Handle concurrent tasks efficiently using async programming.

*Course Breakdown:*
This course covers critical Python concepts with hands-on examples and in-depth explanations.

Chapters
0:00 Introduction
1:11 Advanced Functions – *args and **kwargs
4:14 Custom Decorators – Simple Logging with print
8:57 Timing Function Execution with Decorators
13:23 Authentication & Access Control with Decorators
17:09 Global vs Local Variables
22:17 Lambda Functions – map(), filter(), reduce(), and Sorting
31:00 Object-Oriented Programming (OOP) – Classes in Python
38:03 Iterators in Python
43:55 Generators – Memory-efficient Iteration
45:26 Exception Handling – Try, Except, Finally
50:47 Creating Custom Exceptions
56:50 File Handling – Create, Read, Write, Append
1:02:42 Asynchronous Programming in Python
1:08:14 Deep Dive into OOP
1:18:30 Multiple Inheritance in Python
1:24:02 Encapsulation – Protecting Data in Classes
1:30:23 Polymorphism – Overloading & Overriding Methods
1:35:27 Conclusion