en/docs/advanced_python

Advanced Python Concepts

Welcome to the section on advanced Python concepts. Here, we delve into the more intricate and powerful aspects of the Python programming language.

List of Advanced Topics

• Decorators: Enhance functions with additional functionality.

  • Learn more about Python Decorators.

• Generators: Efficiently handle large datasets without loading them all into memory.

  • Explore Python Generators.

• Metaprogramming: Write code that writes code.

  • Discover Python Metaprogramming.

• Concurrency: Execute multiple tasks simultaneously.

  • Read up on Python Concurrency.

Example: Decorators in Action

Let's look at a simple example of a decorator:

def my_decorator(func):
    def wrapper():
        print("Something is happening before the function is called.")
        func()
        print("Something is happening after the function is called.")
    return wrapper

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

say_hello()

In this example, @my_decorator is used to decorate the say_hello function. The decorator my_decorator adds functionality before and after the say_hello function is called.

Useful Resources

• Python Documentation
• Real Python

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