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Why your multiprocessing Pool is stuck (itâs full of sharks!) by Itamar Turner-Trauring Last updated 13 Sep 2024, originally created 04 Sep 2018 Youâre using multiprocessing to run some code across multiple processes, and it justâsits there. Itâs stuck. You check CPU usageânothing happening, itâs not doing any work. Whatâs going on? In many cases you can fix this with a single line of codeâskip to
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Prepare the sender (generate a random binary data file to be sent): ~/sender $ dd if=/dev/urandom of=data.tx bs=60KB count=1 status=none ~/sender $ sha256sum data.tx 008df57d4f3ed6e7a25d25afd57d04fc73140e8df604685bd34fcab58f5ddc01 data.tx Start the receiver (will wait for the sender to start): ~/receiver $ amodem recv -vv -o data.rx Start the sender (will modulate the data and start the transmissi
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I recently started playing with FastAPI and HTTPX, and I am deploying my app with Gunicorn and Uvicorn workers. But when serving, the logs from each component looks quite different from the others. I want them to all look the same, so I can easily read them or exploit them in something like Kibana. After a lot of hours trying to understand how Python logging works, and how to override libraries' l
asynq is a library for asynchronous programming in Python with a focus on batching requests to external services. It also provides seamless interoperability with synchronous code, support for asynchronous context managers, and tools to make writing and testing asynchronous code easier. asynq was developed at Quora and is a core component of Quora's architecture. See the original blog post here. Th
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