Learning SciPy for Numerical and Scientific Computing Second Edition
贝壳书屋

Learning SciPy for Numerical and Scientific Computing Second Edition 电子书下载

admin A+ A- 该资源由用户: 明冠添智 上传  举报不良内容

书名:Learning SciPy for Numerical and Scientific Computing Second Edition

Learning SciPy for Numerical and Scientific Computing Second Edition.jpg

Quick solutions to complex numerical problems in physics, applied mathematics, and science with SciPy About This BookUse different modules and routines from the SciPy library quickly and efficientlyCreate vectors and matrices and learn how to perform standard mathematical operations between them or on the respective array in a functional formA step-by-step tutorial that will help users solve research-based problems from various areas of science using ScipyWho This Book Is ForThis book targets programmers and scientists who have basic Python knowledge and who are keen to perform scientific and numerical computations with SciPy.What You Will Learn Get to know the benefits of using the combination of Python, NumPy, SciPy, and matplotlib as a programming environment for scientific purposes Create and manipulate an object array used by SciPy Use SciPy with large matrices to compute eigenvalues and eigenvectors Focus on construction, acquisition, quality improvement, compression, and feature extraction of signals Make use of SciPy to collect, organize, analyze, and interpret data, with examples taken from statistics and clustering Acquire the skill of constructing a triangulation of points, convex hulls, Voronoi diagrams, and many similar applications Find out ways that SciPy can be used with other languages such as C/C++, Fortran, and MATLAB/Octave In DetailSciPy 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.

尊敬的读者:
欢迎您访问我们的网站。本站的初衷是为大家提供一个共享学习资料、交换知识的平台。每位用户都可以将文件上传至网盘并分享。
然而,随着用户上传的资料增多,我们发现部分不宜或版权问题的书籍被分享到了本站。 为此,我们已经关闭了分享入口,并进行了多次书籍审查,但仍有部分内容未能彻底审查到位。
在此,我们恳请广大读者与我们共同监督,如发现任何不宜内容,请 点击此处 进行举报,我们会第一时间处理并下架相关内容。
希望我们能共建一个文明社区!感谢您的理解与支持!

直接下载

贝壳书屋 © All Rights Reserved.  
关于我们| 联系我们| 留言|