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Python Concurrency: Threads, Processes, and Asyncio Explained

A practical guide to Python concurrency using a Fibonacci server to demonstrate the strengths and limitations of threads, processes, and asyncio. Learn when to use each approach through hands-on examples

First, a CPU-intensive function that helps us see concurrency in action Second, a simple server where we can experiment with different approaches When you run this program, python server.py, you can open a connection to the server in order to start sending it requests: Understanding the strengths of limitations of threads, processes, and asyncio will help us choose the right tool to improve performance and efficiency.

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