Python Mastery: Decorators, Generators, Async & Performance
Trace closures, decorators, generators, context managers and asyncio schedules, then measure caches, profiles and Big-O costs like a senior Python developer, with every answer checked as you go.
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About this course
Python Mastery is an advanced, hands-on course for developers who already write Python and want to understand what really happens under the hood. In every lab you play the interpreter: you trace closures and the late-binding trap, stacked decorator factories and lru_cache hits, iterators, lazy generators, send() coroutines and itertools.groupby. You predict what context managers roll back, what type hints do and do not check, how asyncio schedules gather and semaphores and how a single blocking call freezes the event loop. Then you count Big-O costs, read cProfile reports, size __slots__ memory, build a strategy registry, resolve version specifiers and plan an async uploader. Every answer is checked instantly, and the first lesson is free.
Lessons
- Functions as Objects: Closures & nonlocal StateFree
- Late Binding: The Loop-Variable Closure Trap Locked
- Writing Decorators: Wrappers, State & functools.wraps Locked
- Decorator Factories & Stacking Order Locked
- Memoization with lru_cache: Hits, Misses & Cache Growth Locked
- The Iterator Protocol: __iter__, __next__ & Exhaustion Locked
- Generators & Laziness: Short-Circuiting and Partial Consumption Locked
- send(), Priming & Generator-Based Coroutines Locked
- itertools in Practice: groupby, accumulate & Shared Iterators Locked
- Lazy Pipelines vs Lists: Memory Peaks & batched() Locked
- Context Managers: __enter__, __exit__ & Rollback Locked
- @contextmanager, try/finally & Nested Timers Locked
- Type Hints: Static Checks, Any & Run-Time Reality Locked
- asyncio Scheduling: await, gather & Semaphores Locked
- Blocking the Event Loop: time.sleep vs await & to_thread Locked
- Big-O in Practice: Counting Comparisons, list vs set Locked
- Profiling with cProfile: tottime, Hotspots & Amdahl's Law Locked
- __slots__ & Dataclasses: Memory per Object Locked
- Pythonic Design Patterns: Strategy & Registration Decorators Locked
- Packaging: pyproject.toml & Version Specifiers Locked
- Capstone: A Retrying, Batched, Rate-Limited Async Uploader Locked