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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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樓主: fasten
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發(fā)表于 2025-3-26 23:16:56 | 只看該作者
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發(fā)表于 2025-3-27 02:13:09 | 只看該作者
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發(fā)表于 2025-3-27 06:10:32 | 只看該作者
Code Optimization,ain or use external compiled code, typically written in C or in Fortran. Because of this, in computing applications that rely heavily on libraries such as NumPy and SciPy, most of the number crunching is performed by compiled code, and the performance is therefore vastly better than if the same computation were to be implemented purely in Python.
34#
發(fā)表于 2025-3-27 12:53:03 | 只看該作者
covers the popular open source numerical Python packages li.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
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發(fā)表于 2025-3-28 03:49:04 | 只看該作者
https://doi.org/10.1007/978-1-4842-0553-2Python; numerical; NumPy; SciPy; computation; algorithms; FEniCS
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發(fā)表于 2025-3-28 08:11:17 | 只看該作者
Robert JohanssonNumerical 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
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發(fā)表于 2025-3-28 11:58:10 | 只看該作者
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