multiprocess is a fork of multiprocessing. multiprocess extends multiprocessing to provide enhanced serialization, using dill. multiprocess leverages multiprocessing to support the spawning of ...

Python logging is one of the most effective tools for streamlining and optimizing workflows. Logging is the process of tracking and recording events that occur in a given system, such as errors ...

Google has released a "major update" to the Google Cloud Python logging library for monitoring and troubleshooting Python-based containerized apps in the cloud and its serverless environments. The ...

Multiprocessing in Python enables the computer to utilize multiple cores of a CPU to run tasks/processes in parallel.

Issue #8200: logging: Handle errors when multiprocessing is not fully loaded when logging occurs.

Python's "multiprocessing" module feels like threads, but actually launches processes. Many people, when they start to work with Python, are excited to hear that the language supports threading. And, ...