Accelerate Python Loops with the Intel AI Analytics Toolkit

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Ignite performance of common Python & pandas constructs by using NumPy, SciPy, and Pandas powered
by oneAPI. This webinar and workshop series will go into detail about how to apply key Intel architectural
innovations and libraries via smart application of NumPy, SciPy, and Pandas techniques to achieve
amazing performance gains. We’ll delve into NumPy sorting, aggregations, universal functions,
broadcasting and fancy slicing, sorting, and other techniques powered by oneAPI. Learn how to achieve
performance gains by replacing Python loop centric or list comprehension applications with smarter
equivalents that are more maintainable, more efficient, and much faster on current and future
innovations in Intel hardware and oneAPI software libraries!

Bob Chesebrough