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What Python's multiprocessing.Pool provides for data parallelism, this micro-framework attempts to provide for stream parallelism: high quality pythonic tooling for supporting simple, fast, ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...