Speed Up Python* Performance to 100x (& More) with Intel® AI Tools
Learn how to supercharge Python* by using NumPy, SciPy, and pandas, which are all available through the Intel® AI Analytics Toolkit. Performance increases of 100 times (and more) can be achieved.
Using Intel® Developer Cloud as a platform, this workshop explores several NumPy aggregations, universal functions, broadcasting, and other techniques. It covers these topics:
- Constructs that perform the same tasks as common Python loops and list comprehensions applications.
- Universal function uses for fast and efficient time-series labels.
- Complicated logic conditions that slow down the pandas Apply function.
Tune in to the experts' coding wisdom and launch swifter, more effective applications.
Skill level: Expert
Download the full package of AI tools as part of the Intel AI Analytics Toolkit.
Accelerate data science and AI pipelines—from preprocessing through machine learning—and provide interoperability for efficient model development.
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