Welcome to Day 6! Today we are unlocking Python’s advanced feature set. We will cover writing concise expressions, managing custom streaming data loops, building clean code modifiers using decorators, managing temporary resources with context managers, and designing clean data structures using dataclasses. 🚀
1. Comprehensions 🧠
Comprehensions provide a concise syntax to derive new collections (lists, dictionaries, or sets) from existing iterables. They replace verbose for loops and execute faster because they run at C-speed inside the Python interpreter.
Advanced List Comprehensions: Supports filtering conditionals (if) and value transformations (if-else).
Dictionary Comprehensions: Dynamically generates key-value map structures ({k: v for ...}).
