Web Reference: A simple and efficient tool to parallelize Pandas operations on all available CPUs - nalepae/pandarallel May 2, 2023 · An easy to use library to speed up computation (by parallelizing on multi CPUs) with pandas. On Linux & macOS, no special requirement. On Windows, because of the multiprocessing system (spawn), the function you send topandarallel must be self contained, and should not depend on external resources. Example: ✅ Valid on Mac and Linux - ❌ Forbidden On Windows ✅ Valid everywhere
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