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Titlebook: Numerical Python; A Practical Techniqu Robert Johansson Book 20151st edition Robert Johansson 2015 Python.numerical.NumPy.SciPy.computation

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書(shū)目名稱Numerical Python
副標(biāo)題A Practical Techniqu
編輯Robert Johansson
視頻videohttp://file.papertrans.cn/670/669160/669160.mp4
概述Numerical Python by Robert Johansson shows you how to leverage the numerical and mathematical modules in Python and its Standard Library..It covers the popular open source numerical Python packages li
圖書(shū)封面Titlebook: Numerical Python; A Practical Techniqu Robert Johansson Book 20151st edition Robert Johansson 2015 Python.numerical.NumPy.SciPy.computation
描述.Numerical Python. .by .Robert Johansson. shows you how to leverage the numerical and mathematical modules in Python and its Standard Library as well as popular open source numerical Python packages like NumPy, FiPy, matplotlib and more to numerically compute solutions and mathematically model applications in a number of areas like big data, cloud computing, financial engineering, business management and more..After reading and using this book, you‘ll get some takeaway case study examples of applications that can be found in areas like business management, big data/cloud computing, financial engineering (i.e., options trading investment alternatives), and even games..Up until very recently, Python was mostly regarded as just a web scripting language. Well, computational scientists and engineers have recently discovered the flexibility and power of Python to do more. Big data analytics and cloud computing programmers are seeing Python‘s immense use. Financial engineers are also now employing Python in their work. Python seems to be evolving as a language that can even rival C++, Fortran, and Pascal/Delphi for numerical and mathematical computations. .
出版日期Book 20151st edition
關(guān)鍵詞Python; numerical; NumPy; SciPy; computation; algorithms; FEniCS
版次1
doihttps://doi.org/10.1007/978-1-4842-0553-2
isbn_ebook978-1-4842-0553-2
copyrightRobert Johansson 2015
The information of publication is updating

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Robert Johanssonccessible in time and space and responsive to the needs and wants of others—cannot be seen as a dichotomous outcome (i.e., being available or not). Our results also indicate that despite being constantly on call, employees may yet manage the technology in ways that allow separation to some degree when it is wanted.
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Robert Johanssonesearch on the varied implications of automation for labour. The extent to which data centres make worlds and reconfigure regions bears upon conceptualisations of sovereign power harnessed to the state. This contribution maintains that an emergent sovereign form registers in the operational logic of computational machines special to data centres.
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