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Learning SciPy for numerical and scientific computing : 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.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Rijas G., Sergio J. (Autor), Christensen, Erik A. (Autor), Blanco-Silva, Francisco J. (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Birmingham, UK : Packt Publishing, 2015.
Edición:Second edition.
Colección:Community experience distilled.
Temas:
Acceso en línea:Texto completo

MARC

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050 4 |a QA76.73.P98 
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049 |a UAMI 
100 1 |a Rijas G., Sergio J.,  |e author. 
245 1 0 |a Learning SciPy for numerical and scientific computing :  |b quick solutions to complex numerical problems in physics, applied mathematics, and science with SciPy /  |c Sergio J. Rojas G., Erik A. Christensen, Francisco J. Blanco-Silva. 
246 3 0 |a Quick solutions to complex numerical problems in physics, applied mathematics, and science with SciPy 
250 |a Second edition. 
264 1 |a Birmingham, UK :  |b Packt Publishing,  |c 2015. 
300 |a 1 online resource (1 volume) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a Community experience distilled 
588 0 |a Online resource; title from cover page (Safari, viewed March 26, 2015). 
500 |a Includes index. 
505 0 |a Cover; Copyright; Credits; About the Authors; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Introduction to SciPy; What is SciPy?; Installing SciPy; Installing SciPy on Mac OS X; Installing SciPy on Unix/Linux; Installing SciPy on Windows; Testing SciPy installation; SciPy organization; How to find documentation; Scientific visualization; How to open IPython Notebooks; Summary; Chapter 2: Working with the NumPy Array As a First Step to SciPy; Object essentials; Using datatype; Indexing and slicing arrays; The array object; Array conversions. 
505 8 |a Shape selection/manipulationsObject calculations; Array routines; Routines to create arrays; Routines for the combination of two or more arrays; Routines for array manipulation; Routines to extract information from arrays; Summary; Chapter 3: SciPy for Linear Algebra; Vector creation; Vector operations; Addition/subtraction; Scalar/Dot product; Cross / Vector product -- on three-dimensional space vectors; Creating a matrix; Matrix methods; Operations between matrices; Functions on matrices; Eigenvalue problems and matrix decompositions; Image compression via the singular value decomposition. 
505 8 |a SolversSummary; Chapter 4: SciPy for Numerical Analysis; Evaluation of special functions; Convenience and test functions; Univariate polynomials; The gamma function; The Riemann zeta function; Airy and Bairy functions; The Bessel and Struve functions; Other special functions; Interpolation; Regression; Optimization; Minimization; Roots; Integration; Exponential/logarithm integrals; Trigonometric and hyperbolic trigonometric integrals; Elliptic integrals; Gamma and beta integrals ; Numerical integration; Ordinary differential equations; Lorenz attractors; Summary. 
505 8 |a Chapter 5: SciPy for Signal ProcessingDiscrete Fourier Transforms; Signal construction; Filters; LTI system theory; Filter design; Window functions; Image interpolation; Morphology; Summary; Chapter 6: SciPy for Data Mining; Descriptive statistics; Distributions; Interval estimation, correlation measures, and statistical tests; Distribution fitting; Distances; Clustering; Vector quantization and k-means; Hierarchical clustering; Clustering mammals by their dentition; Summary; Chapter 7: SciPy for Computational Geometry; Structural model of oxides. 
505 8 |a A finite element solver for Laplace's equationSummary; Chapter 8: Interaction with Other Languages; Interaction with Fortran; Interaction with C/C++; Interaction with MATLAB/Octave; Summary; Index. 
520 |a This book targets programmers and scientists who have basic Python knowledge and who are keen to perform scientific and numerical computations with SciPy. 
590 |a ProQuest Ebook Central  |b Ebook Central Academic Complete 
650 0 |a Python (Computer program language) 
650 0 |a Numerical analysis. 
650 0 |a Mathematics  |x Data processing. 
650 6 |a Python (Langage de programmation) 
650 6 |a Analyse numérique. 
650 6 |a Mathématiques  |x Informatique. 
650 7 |a Mathematics  |x Data processing  |2 fast 
650 7 |a Numerical analysis  |2 fast 
650 7 |a Python (Computer program language)  |2 fast 
700 1 |a Christensen, Erik A.,  |e author. 
700 1 |a Blanco-Silva, Francisco J.,  |e author. 
758 |i has work:  |a Learning SciPy for numerical and scientific computing (Text)  |1 https://id.oclc.org/worldcat/entity/E39PCGb4xvdvwBk8dfh3pPYWrC  |4 https://id.oclc.org/worldcat/ontology/hasWork 
776 0 8 |i Print version:  |a Rojas G., Sergio J.  |t Learning SciPy for Numerical and Scientific Computing.  |d Birmingham : Packt Publishing, ©2015  |z 9781783987702 
830 0 |a Community experience distilled. 
856 4 0 |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=1973843  |z Texto completo 
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