06 · Advanced¶
Features that separate "I can write Python" from "I can write Pythonic, efficient, maintainable Python".
What you'll learn¶
- Decorators — functions that wrap other functions to add behavior (logging, timing, caching) without changing them. Think of it as a wrapping paper that adds features.
- Generators (
yield) — produce values one at a time, lazily. Memory-friendly for huge datasets. - Context managers (
with/__enter__/__exit__) — automatic setup and cleanup. You already use them withopen(); now learn to write your own. - Iterators and iterables — what actually powers
forloops. - Comprehensions — compact syntax for building lists, dicts, sets, generators.
- Typing — optional type hints (
def add(a: int, b: int) -> int:) that catch bugs early and document intent. - Async / await — concurrent I/O without threads. For network calls, disk reads, UI responsiveness.
- Testing —
pytest, fixtures, parametrization.
Plain-language analogy¶
If basic Python is cooking one dish at a time, advanced Python is running a restaurant kitchen — decorators are the sous chefs who plate every dish the same way, generators are the conveyor belt serving plates only when a diner sits down, and async is juggling the grill, fryer, and oven so none sits idle.