Date: Mar 17, 2024
Python provides two major approaches for concurrent and parallel programming: asyncio and thread pools. Choosing the right concurrency tool can impact performance, scalability, and code complexity.
Date: Mar 24, 2024
Python offers two options for performing multiple tasks simultaneously: parallel programming, which leverages multiple CPU cores, and asynchronous programming, which allows long-running functions to yield control back while waiting.
Date: Mar 25, 2024
The event loop is the core of asyncio in Python, handling asynchronous code and callbacks. Properly managing the event loop is key to writing efficient asyncio programs.
Date: Mar 17, 2024
Async IO is a useful concurrent programming framework in Python's standard library for executing multiple tasks concurrently within a single thread.
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