Read Learning SciPy for Numerical and Scientific Computing

Learning SciPy for Numerical and Scientific Computing

Francisco J. Blanco-Silva

4.9/5 (26074 ratings)

Description:Quick solutions to complex numerical problems in physics, applied mathematics, and science with SciPy This book targets programmers and scientists who have basic Python knowledge and who are keen to perform scientific and numerical computations with SciPy. SciPy is an open source Python library used to perform scientific computing. The SciPy (Scientific Python) package extends the functionality of NumPy with a substantial collection of useful algorithms. The book starts with a brief description of the SciPy libraries, followed by a chapter that is a fun and fast-paced primer on array creation, manipulation, and problem-solving. You will also learn how to use SciPy in linear algebra, which includes topics such as computation of eigenvalues and eigenvectors. Furthermore, the book is based on interesting subjects such as definition and manipulation of functions, computation of derivatives, integration, interpolation, and regression. You will also learn how to use SciPy in signal processing and how applications of SciPy can be used to collect, organize, analyze, and interpret data. By the end of the book, you will have fast, accurate, and easy-to-code solutions for numerical and scientific computing applications.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Learning SciPy for Numerical and Scientific Computing. To get started finding Learning SciPy for Numerical and Scientific Computing, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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Format: PDF, EPUB & Kindle Edition

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ISBN: 1782161627

Description: Quick solutions to complex numerical problems in physics, applied mathematics, and science with SciPy This book targets programmers and scientists who have basic Python knowledge and who are keen to perform scientific and numerical computations with SciPy. SciPy is an open source Python library used to perform scientific computing. The SciPy (Scientific Python) package extends the functionality of NumPy with a substantial collection of useful algorithms. The book starts with a brief description of the SciPy libraries, followed by a chapter that is a fun and fast-paced primer on array creation, manipulation, and problem-solving. You will also learn how to use SciPy in linear algebra, which includes topics such as computation of eigenvalues and eigenvectors. Furthermore, the book is based on interesting subjects such as definition and manipulation of functions, computation of derivatives, integration, interpolation, and regression. You will also learn how to use SciPy in signal processing and how applications of SciPy can be used to collect, organize, analyze, and interpret data. By the end of the book, you will have fast, accurate, and easy-to-code solutions for numerical and scientific computing applications.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Learning SciPy for Numerical and Scientific Computing. To get started finding Learning SciPy for Numerical and Scientific Computing, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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Learning SciPy for Numerical and Scientific Computing

Learning SciPy for Numerical and Scientific Computing

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