One powerful tool in Python3 for speeding up applications that involve significant amounts of I/O is the ThreadPoolExecutor from the concurrent.futures module. The concurrent.futures module can help ...
I wrote a function that was calling an LLM API. It waited for 2–3 seconds to respond and then processed it. It had to do this multiple times and I wanted to optimize it. Asked the LLM — it told me to ...
How much faster could your Python code run (if you used 100s of thread workers)? The ThreadPoolExecutor class provides modern thread pools for IO-bound tasks. This is not some random third-party ...
gevent version: 1.3.4 Python version: 3.7.0 (v3.7.0:1bf9cc5093, Jun 27 2018, 04:06:47) [MSC v.1914 32 bit (Intel)] downloaded from python.org Operating System: Windows-10-10.0.16299-SP0 gevent + ...
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