Finally, Python is not the best choice when speed is an absolute priority in every aspect of the application. For that, you’re better off with C/C++, Rust , or another language of that caliber.

The best parallel processing libraries for Python. Ray: Parallelizes and distributes AI and machine learning workloads across CPUs, machines, and GPUs.; Dask: Parallelizes Python data science ...

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