Python* has become instrumental tool for those looking for a high productivity language for a variety of programming tasks including advanced numerical work. Learn how Intel brings high performance, easy accessibility, and integrated workflow to Python* in numerical, scientific, and machine learning space. We will compare and contrast Intel-optimized NumPy, SciPy, and scikit-learn, and learn about pyDAAL (Python APIs to Intel® Data Analytics Acceleration Library) with examples.
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