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Titlebook: Numerical Python; Scientific Computing Robert Johansson Book 2024Latest edition Robert Johansson 2024 Python.numerical.NumPy.SciPy.computat

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發(fā)表于 2025-3-21 17:43:58 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Numerical Python
副標(biāo)題Scientific Computing
編輯Robert Johansson
視頻videohttp://file.papertrans.cn/670/669691/669691.mp4
概述Revised and updated with examples using the numerical and mathematical modules in Python and its standard library.Understand open-source numerical Python packages like NumPy, SciPy, SymPy, matplotlib
圖書封面Titlebook: Numerical Python; Scientific Computing Robert Johansson Book 2024Latest edition Robert Johansson 2024 Python.numerical.NumPy.SciPy.computat
描述.Learn how to leverage the scientific computing and data analysis capabilities of Python, its standard library, and popular open-source numerical Python packages like NumPy, SymPy, SciPy, matplotlib, and more. This book demonstrates how to work with mathematical modeling and solve problems with numerical, symbolic, and visualization techniques. It explores applications in science, engineering, data analytics, and more...Numerical Python, Third Edition., presents many case study examples of applications in fundamental scientific computing disciplines, as well as in data science and statistics. This fully revised edition, updated for each library‘s latest version, demonstrates Python‘s power for rapid development and exploratory computing due to its simple and high-level syntax and many powerful libraries and tools for computation and data analysis.?..After reading this book, readers will be familiar with many computing techniques, including array-based and symbolic computing, visualization and numerical file I/O, equation solving, optimization, interpolation and integration, and domain-specific computational problems, such as differential equation solving, data analysis, statistical
出版日期Book 2024Latest edition
關(guān)鍵詞Python; numerical; NumPy; SciPy; computation; algorithms; FEniCS; TensorFlow; Signal Processing; Image Proces
版次3
doihttps://doi.org/10.1007/979-8-8688-0413-7
isbn_softcover979-8-8688-0412-0
isbn_ebook979-8-8688-0413-7
copyrightRobert Johansson 2024
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Book 2024Latest editionon packages like NumPy, SymPy, SciPy, matplotlib, and more. This book demonstrates how to work with mathematical modeling and solve problems with numerical, symbolic, and visualization techniques. It explores applications in science, engineering, data analytics, and more...Numerical Python, Third Ed
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erical Python packages like NumPy, SciPy, SymPy, matplotlib .Learn how to leverage the scientific computing and data analysis capabilities of Python, its standard library, and popular open-source numerical Python packages like NumPy, SymPy, SciPy, matplotlib, and more. This book demonstrates how to
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Optimization,unction, depending on the application and the specific problem. The chapter covers the optimization of real-valued functions of one or several variables, which optionally can be subject to constraints that restrict the function’s domain.
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