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Python Concurrency & Async I/O

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Overview

You'll unlock the power of concurrent programming in Python. This course demystifies the GIL, threads, and processes, then dives deep into modern asyncio. You will build high-performance, resilient asynchronous pipelines that can handle real-world I/O-bound workloads with ease.

Syllabus

Unit 1: Concurrency and the GIL

Building Your Concurrency Benchmark
Debug the Benchmarking Framework
Benchmarking a Hashing Workload
Benchmarking Concurrent Database Queries

Unit 2: Asyncio Foundations Explained

Building Your First Async Producer
Building the Consumer Coroutine
Bringing Your Async System Together

Unit 3: Structured Concurrency Essentials

Launching Your First Task Group
Waiting for Queue Work to Complete
Setting Time Limits for Tasks
Build Your Concurrent Data Pipeline

Unit 4: Backpressure and Retry Strategies

Throttling Fast Producers
Recovering from Transient Failures
Implementing Smart Retry Delays
Handling Multiple Failure Modes

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