Async Python for Data Engineers: Concurrent Pipeline Patterns

Rate limits, backpressure, and pipelines that don't OOM.

Rate limits, backpressure, and pipelines that don't OOM.

Category

Python

Difficulty

intermediate

Duration

38 minutes

Challenges

0 hands-on challenges

Topics covered: asyncio.Semaphore: Rate-Limited Concurrent Fetching, Bounded asyncio.Queue: Producer-Consumer with Backpressure, Timeouts: Per-Request and Wall-Clock Deadlines, Async Generators: Streaming Large Datasets, HTTP Client Decision: httpx vs aiohttp vs requests

Lesson Sections

1. asyncio.Semaphore: Rate-Limited Concurrent Fetching

2. Bounded asyncio.Queue: Producer-Consumer with Backpressure

3. Timeouts: Per-Request and Wall-Clock Deadlines

4. Async Generators: Streaming Large Datasets

5. HTTP Client Decision: httpx vs aiohttp vs requests