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Learning Scipy For Numerical And Scientific Computing A Practical Tutorial That Guarantees Fast Accurate And Easytocode Solutions To Your Numerical And Scientific Computing Problems With The Power Of Scipy And Python Francisco J Blancosilva

  • SKU: BELL-5474196
Learning Scipy For Numerical And Scientific Computing A Practical Tutorial That Guarantees Fast Accurate And Easytocode Solutions To Your Numerical And Scientific Computing Problems With The Power Of Scipy And Python Francisco J Blancosilva
$ 31.00 $ 45.00 (-31%)

5.0

108 reviews

Learning Scipy For Numerical And Scientific Computing A Practical Tutorial That Guarantees Fast Accurate And Easytocode Solutions To Your Numerical And Scientific Computing Problems With The Power Of Scipy And Python Francisco J Blancosilva instant download after payment.

Publisher: Packt Publishing
File Extension: PDF
File size: 3.73 MB
Pages: 150
Author: Francisco J. Blanco-Silva
ISBN: 9781782161622, 1782161627
Language: English
Year: 2013

Product desciption

Learning Scipy For Numerical And Scientific Computing A Practical Tutorial That Guarantees Fast Accurate And Easytocode Solutions To Your Numerical And Scientific Computing Problems With The Power Of Scipy And Python Francisco J Blancosilva by Francisco J. Blanco-silva 9781782161622, 1782161627 instant download after payment.

It's essential to incorporate workflow data and code from various sources in order to create fast and effective algorithms to solve complex problems in science and engineering. Data is coming at us faster, dirtier, and at an ever increasing rate. There is no need to employ difficult-to-maintain code, or expensive mathematical engines to solve your numerical computations anymore. SciPy guarantees fast, accurate, and easy-to-code solutions to your numerical and scientific computing applications. Learning SciPy for Numerical and Scientific Computing unveils secrets to some of the most critical mathematical and scientific computing problems and will play an instrumental role in supporting your research. The book will teach you how to quickly and efficiently use different modules and routines from the SciPy library to cover the vast scope of numerical mathematics with its simplistic practical approach that's easy to follow.

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