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High-performance computing with Python 3.x

"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...

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Bibliographic Details
Main Author: Kashif, Mohammed
Format: eBook
Language:English
Published: [Place of publication not identified] Packt Publishing 2019
Subjects:
Logiciels D'application / Développement
Application Software / Development / Fast / (ocolc)fst00811707
Python (computer Program Language) / Http://id.loc.gov/authorities/subjects/sh96008834
Electronic Data Processing / Distributed Processing / Management / Fast / (ocolc)fst00906991
Python (langage De Programmation)
Python (computer Program Language) / Fast / (ocolc)fst01084736
Electronic Data Processing / Distributed Processing / Management / Http://id.loc.gov/authorities/subjects/sh2010014266
Application Software / Development / Http://id.loc.gov/authorities/subjects/sh95009362
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
Description
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 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
Item Description:Title from resource description page (Safari, viewed April 17, 2019)
Physical Description:1 streaming video file (4 hr., 12 min., 21 sec.)

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