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ISBN 9781484242469
DDC 005.133
Tác giả CN Johansson, Robert
Nhan đề Numerical Python : scientific computing and data science applications with Numpy, SciPy and Matplotlib / Robert Johansson
Lần xuất bản 2nd ed.
Thông tin xuất bản [Berkeley, CA] : Apress, 2019
Mô tả vật lý 709 pages. : illustrations ; cm.
Tóm tắt Leverage the numerical and mathematical modules in Python and its standard library as well as popular open source numerical Python packages like NumPy, SciPy, FiPy, matplotlib and more. This fully revised edition, updated with the latest details of each package and changes to Jupyter projects, demonstrates how to numerically compute solutions and mathematically model applications in big data, cloud computing, financial engineering, business management and more. Numerical Python, Second Edition, presents many brand-new case study examples of applications in data science and statistics using Python, along with extensions to many previous examples. Each of these demonstrates the power of Python for rapid development and exploratory computing due to its simple and high-level syntax and multiple options for 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 modeling and machine learning
Từ khóa tự do Computer programming
Từ khóa tự do Python (langage de programmation)
Từ khóa tự do Python (computer program language)
Khoa Viện NIIE
Địa chỉ Thư Viện Đại học Nguyễn Tất Thành
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100 |aJohansson, Robert
245 |aNumerical Python : |bscientific computing and data science applications with Numpy, SciPy and Matplotlib / |cRobert Johansson
250 |a2nd ed.
260 |a[Berkeley, CA] : |bApress, |c2019
300 |a709 pages. : |billustrations ; |ccm.
520 |aLeverage the numerical and mathematical modules in Python and its standard library as well as popular open source numerical Python packages like NumPy, SciPy, FiPy, matplotlib and more. This fully revised edition, updated with the latest details of each package and changes to Jupyter projects, demonstrates how to numerically compute solutions and mathematically model applications in big data, cloud computing, financial engineering, business management and more. Numerical Python, Second Edition, presents many brand-new case study examples of applications in data science and statistics using Python, along with extensions to many previous examples. Each of these demonstrates the power of Python for rapid development and exploratory computing due to its simple and high-level syntax and multiple options for 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 modeling and machine learning
653 |aComputer programming
653 |aPython (langage de programmation)
653 |aPython (computer program language)
690 |aViện NIIE
691 |aCông nghệ thông tin - NIIE
852 |aThư Viện Đại học Nguyễn Tất Thành
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