It should be no surprise that Python continues to grow in popularity. Data Scientists, Machine Learning (ML) developers, and all manner of data junkies love the ease of creating Python code – but many are put off by the slow execution that’s inherent with most interpreted languages like Python.
It was with one goal – accelerating Python execution performance – that lead to the creation of Intel® Distribution for Python, a set of tools that let anyone speed Python application performance right out of the box, usually with no code changes required.
Intel® Distribution for Python* speeds NumPy, SciPy, and scikit-learn by integrating the Intel® Math Kernel Library (Intel® MKL) and Intel® Data Analytics Acceleration Library (Intel® DAAL), both written in C and assembler, to speed up Python math functions.
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