In this chapter of Fluent Python, we explore deeper into Python's data structures and functional programming paradigms. Here are key topics covered:

  • Core Data Structures
    Dive into advanced usage of lists, dictionaries, and sets. For example:

    • List comprehensions with nested loops 🔄
    • Dictionary views and collections module 📚
    • Set operations like unions and intersections ⚙️

    Python Data Structures

    Figure: Common data structures in Python

  • Higher-Order Functions
    Master functions like map(), filter(), and reduce() with practical examples.

    • Use map() to apply a function to an iterable 🧠
    • Combine filter() and lambda for data purification 🧹
    • Explore itertools for efficient iteration 🔁

    Functional Programming

    Figure: Functional programming concepts

  • Decorators
    Learn to enhance functions with decorators.

    • Create simple decorators with @ syntax 🎒
    • Use functools.wraps for metadata preservation 📌
    • Implement decorators for logging or timing 🕒

    Python Decorator

    Figure: Decorator example

For further exploration, check out our Fluent Python Chapter 6 or the Python Standard Library Guide. 🌐