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Python provides mechanisms for both concurrency and parallelism, each with its own syntax and use cases. For concurrency, Python offers two different mechanisms which share many common components.
Dask: Parallelizes Python data science libraries such as NumPy, Pandas, and Scikit-learn. Dispy: Executes computations in parallel across multiple processors or machines.
The Python script drives a pin on the parallel port high, triggering the Larson Scanner’s animation. Every minute, the script checks the status of FFMPEG and continues to hold the pin high until ...
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