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High-performance computing with Python 3.x

Author: Mohammed Kashif
Publisher: [Place of publication not identified] : Packt Publishing, 2019.
Edition/Format:   eVideo : Clipart/images/graphics : EnglishView all editions and formats
Summary:
"This course will teach you how to use Python on parallel architectures. You'll learn to use the power of NumPy, SciPy, and Cython to speed up computation. Then you will get to grips with optimizing critical parts of the kernel using various tools. You will also learn how to optimize your programmer using Numba. You'll learn how to perform large-scale computations using Dask and implement distributed applications in  Read more...
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Details

Material Type: Clipart/images/graphics, Internet resource, Videorecording
Document Type: Internet Resource, Computer File, Visual material
All Authors / Contributors: Mohammed Kashif
OCLC Number: 1097572763
Notes: Title from resource description page (Safari, viewed April 17, 2019).
Performer(s): Presenter, Mohammed Kashif.
Description: 1 online resource (1 streaming video file (4 hr., 12 min., 21 sec.)) : digital, sound, color
Responsibility: Mohammed Kashif.

Abstract:

"This course will teach you how to use Python on parallel architectures. You'll learn to use the power of NumPy, SciPy, and Cython to speed up computation. Then you will get to grips with optimizing critical parts of the kernel using various tools. You will also learn how to optimize your programmer using Numba. You'll learn how to perform large-scale computations using Dask and implement distributed applications in Python; finally, you'll construct robust and responsive apps using Reactive programming. By the end, you will have gained a solid knowledge of the most common tools to get you started on HPC with Python."--Resource description page.

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