Advanced Python Techniques

Python offers powerful features that can make your code more elegant and efficient. We will explore some advanced concepts.

Decorators

Decorators are a powerful tool for modifying function behavior:

• @staticmethod for class methods that don't need instance access
• @property for getter/setter methods
• Custom decorators for cross-cutting concerns

List Comprehensions

Basic Syntax

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1squares = [x**2 for x in range(10)]
2filtered = [x for x in range(20) if x % 2 == 0]

Context Managers

The with statement ensures proper resource management:

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1with open("file.txt", "r") as f:
2    content = f.read()

Key Principles

1. Write readable code
2. Follow PEP 8 style guide
3. Use type hints for clarity

"Simple is better than complex. Complex is better than complicated."

• The Zen of Python

Performance Comparison

Happy coding!