Date: Mar 24, 2024
Asyncio enables concurrency, but not parallelism by default. You can achieve parallelism by integrating thread pools and process pools.
Date: Feb 3, 2024
Python requests library provides a simple interface for making HTTP requests. Threading can help speed up requests by allowing multiple requests to be sent concurrently. Use thread pool, handle exceptions, watch for race conditions, use locks or queues for coordination. Threading improves performance for I/O-bound tasks. Beware of race conditions with shared data. Consider using grequests library for asynchronous requests.
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