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 AI Tools. Performance increases of 100 times (and more) can be achieved.

Using Intel® Tiber™ AI 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