A comprehensive guide to choosing the right concurrency model in Python. Learn when to use ThreadPoolExecutor, ProcessPoolExecutor, asyncio.gather, and the modern TaskGroup.
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Learn how to write, organize, and run automated tests for your Python code. This guide covers the why, where, and how of testing using the popular pytest framework.
Discover Scalene, the high-performance CPU, GPU, and memory profiler for Python that uses AI to suggest optimizations and supercharge your code.
Learn how to control and limit concurrency in Python using asyncio.Semaphore for coroutines and the max_workers parameter for thread and process pools.
Unlock true concurrency in Python by understanding the crucial difference between awaiting a coroutine directly and scheduling it with asyncio.create_task().