Chapter 2: Functional Programming in Python 📘💻

Key Concepts Covered

• Higher-order functions 📈
  • map(), filter(), and reduce()
  • Example:

    numbers = [1, 2, 3]
    squared = list(map(lambda x: x**2, numbers))  # [1, 4, 9]
    

• Lambda expressions 🔍
  • Anonymous functions for concise code
• Decorators 🎩
  • Enhance functions without modifying their code
  • Example:

    @decorator
    def my_function():
        pass
    

Practice Tips

• Use list comprehensions for readability ✅
• Avoid overusing eval() or exec() ⚠️
• Explore Python's functional programming patterns for advanced techniques

Visual Aids

Expand Your Knowledge

Read more about Python's functional programming features or dive into chapter 3 for deeper insights! 🚀