Welcome to the advanced Python tutorial! Dive deeper into powerful concepts that will elevate your coding skills. Let's explore key topics together:

1. Decorators 🎒

Decorators allow you to modify or enhance functions without changing their code.
Example:

def my_decorator(func):
    def wrapper():
        print("Before function call")
        func()
        print("After function call")
    return wrapper

@my_decorator
def say_hello():
    print("Hello!")

say_hello()

📌 Output:

Before function call
Hello!
After function call
Python_decorator

2. Generators 🧠

Generators are functions that yield values instead of returning them.
Syntax:

def count_up_to(n):
    count = 1
    while count <= n:
        yield count
        count += 1

Run for num in count_up_to(5): print(num) to see the sequence!

Python_generator

3. Context Managers 📁

Use with statements to manage resources safely.
Example:

with open("file.txt", "r") as f:
    content = f.read()

This ensures proper file closure automatically.

Python_context_manager

4. Metaclasses 🔍

Metaclasses define class creation behavior.
Basic usage:

class MyMeta(type):
    def __new__(cls, name, bases, attrs):
        return super().__new__(cls, name, bases, attrs)

Use metaclass=MyMeta in your class definitions.

Python_metaclass

5. Concurrency vs Parallelism 🔄

  • Concurrency: Handling multiple tasks in a single process
  • Parallelism: Executing multiple tasks simultaneously
    Use concurrent.futures or multiprocessing for advanced task management.
Python_concurrency_parallelism

For more beginner-friendly content, check out our Python Basics Tutorial.
Happy coding! 🌟