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Async, Concurrency, Performance

asyncio and the event loop; threading vs multiprocessing vs asyncio (and the GIL); generators, iterators, itertools; context managers and decorators; profiling with cProfile, py-spy, memray.

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110 min total
10 Lessons
0 Completed

Module Content

Async/Await — How the Event Loop Works

The mental model of async Python. Single-threaded concurrency; coroutines yield control at I/O boundaries. FIND_VIDEO: search 'python asyncio event loop tutorial' — recommended channel: mCoding / ArjanCodes. Aim for 12 min or under.

12 minVideo
Start

Recap — When asyncio Helps and When It Doesn't

The patterns that benefit from async, common mistakes, and the libraries (httpx, asyncpg, aiofiles) that make async practical.

11 minTutorial
Start

Threading vs Multiprocessing vs Asyncio

The three concurrency primitives. The GIL, when each beats the others, and how to pick. FIND_VIDEO: search 'python threading multiprocessing asyncio GIL' — recommended channel: mCoding / Real Python. Aim for 11 min or under.

11 minVideo
Start

Recap — The GIL and Picking the Right Primitive

What the GIL actually does, the decision matrix, and how Python 3.13's free-threaded mode changes the landscape.

10 minTutorial
Start

Generators, Iterators & itertools

Lazy evaluation. Process huge datasets with O(1) memory; compose pipelines elegantly. FIND_VIDEO: search 'python generators iterators itertools tutorial' — recommended channel: mCoding / Raymond Hettinger. Aim for 10 min or under.

10 minVideo
Start

Recap — Memory-Efficient Pipelines and Lazy Evaluation

Generators vs lists, the itertools toolkit, and the patterns for streaming pipelines that don't OOM.

10 minTutorial
Start

Context Managers & Decorators

Two of Python's most powerful abstractions. Build cleanup-safe code and reusable cross-cutting logic. FIND_VIDEO: search 'python decorators context managers tutorial' — recommended channel: ArjanCodes / Real Python. Aim for 10 min or under.

10 minVideo
Start

Recap — Building Reusable, Composable Abstractions

The decorator pattern with @functools.wraps, contextlib for context managers, and the patterns for production code.

10 minTutorial
Start

Profiling & Optimization

Find what's slow before you optimize. cProfile, py-spy, memray — the right tool for the right symptom. FIND_VIDEO: search 'python profiling cProfile py-spy memray' — recommended channel: mCoding / Anthony Shaw. Aim for 10 min or under.

10 minVideo
Start

Recap — Profile First, Optimize After

The profiling toolkit, common Python performance traps, and the 80/20 of speedups.

10 minTutorial
Start
Async, Concurrency, Performance | Python for Software Engineers | Topfolio