Register for this workshop to learn ways to boost Python performance using innovative oneAPI libraries.

Harness Pandas, NumPy, and PyTorch to spark the performance of Python.

Gain amazing performance with the Intel® Distribution for Python* and oneAPI, as covered in this hands-on workshop. With NumPy*, PyTorch*, and Pandas techniques, you can apply key Intel architectural innovations and eliminate performance constraints.

With free access to the Intel^® Tiber^™ Developer Cloud, we’ll explore NumPy powered by oneAPI UFUNCS and similar methods in PyTorch. Learn fast and efficient ways to use current Intel hardware and tap future innovations to gain maximum value from the oneAPI libraries.

The session covers:

Registering and gaining full access to the features of Intel^® Tiber^™ Developer Cloud.
Applying NumPy and PyTorch constructs to replace Python loops, achieving better readability, improved maintainability, and faster performance.
Future proofing routines to maximize the capabilities for upcoming Intel hardware.
Understanding the value of Intel^® AI Analytics Toolkit that underlies NumPy and PyTorch.
Demonstrating acceleration techniques provided by NumPy and PyTorch with oneAPI.

Numerous examples and demonstrations illustrate different operations and tasks, offering practical experience and insights into the power of oneAPI. To participate in hands-on activities requires an Intel^® Tiber^™ Developer Cloud account. If you don’t have one, get one here.

Join us at this workshop to discover methods professional developers use to speed up Python and tap into the performance capabilities of modern hardware.

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Speed Up Python* with Pandas, NumPy, and PyTorch

Harness Pandas, NumPy, and PyTorch to spark the performance of Python.

Speakers

Bob Chesebrough

Roberto Marivela

Speed Up Python* with Pandas, NumPy*, and PyTorch*

Harness Pandas, NumPy, and PyTorch to spark the performance of Python.

Speakers

Bob Chesebrough

Roberto Marivela

Speed Up Python* with Pandas, NumPy, and PyTorch