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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.
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Birmingham, England ; Mumbai [India] :
Packt Publishing,
2015.
|
| Edición: | Second edition. |
| Colección: | Community experience distilled.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
| LEADER | 00000cam a2200000 i 4500 | ||
|---|---|---|---|
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| 003 | OCoLC | ||
| 005 | 20231017213018.0 | ||
| 006 | m o d | ||
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| 082 | 0 | 4 | |a 519.4 |2 23 |
| 049 | |a UAMI | ||
| 100 | 1 | |a Rojas, Sergio J. G., |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. |
| 250 | |a Second edition. | ||
| 264 | 1 | |a Birmingham, England ; |a Mumbai [India] : |b Packt Publishing, |c 2015. | |
| 264 | 4 | |c ©2015 | |
| 300 | |a 1 online resource (188 pages) : |b illustrations, tables | ||
| 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 | |
| 500 | |a Includes index. | ||
| 588 | 0 | |a Online resource; title from PDF title page (ebrary, viewed March 12, 2015). | |
| 588 | 0 | |a Print version record. | |
| 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. | ||
| 546 | |a English. | ||
| 590 | |a eBooks on EBSCOhost |b EBSCO eBook Subscription Academic Collection - Worldwide | ||
| 650 | 0 | |a Numerical analysis |x Data processing. | |
| 650 | 0 | |a Python (Computer program language) | |
| 650 | 6 | |a Analyse numérique |x Informatique. | |
| 650 | 6 | |a Python (Langage de programmation) | |
| 650 | 7 | |a MATHEMATICS |x Applied. |2 bisacsh | |
| 650 | 7 | |a MATHEMATICS |x Probability & Statistics |x General. |2 bisacsh | |
| 650 | 7 | |a Numerical analysis |x Data processing. |2 fast |0 (OCoLC)fst01041279 | |
| 650 | 7 | |a Python (Computer program language) |2 fast |0 (OCoLC)fst01084736 | |
| 700 | 1 | |a Christensen, Erik A., |e author. | |
| 700 | 1 | |a Blanco-Silva, Francisco J., |e author. | |
| 776 | 0 | 8 | |i Print version: |a Rojas, Sergio J.G. |t Learning SciPy for numerical and scientific computing. |b Second edition. |d Birmingham, England ; Mumbai, [India] : Packt Publishing, 2015 |
| 830 | 0 | |a Community experience distilled. | |
| 856 | 4 | 0 | |u https://ebsco.uam.elogim.com/login.aspx?direct=true&scope=site&db=nlebk&AN=959968 |z Texto completo |
| 938 | |a Askews and Holts Library Services |b ASKH |n AH28296040 | ||
| 938 | |a ebrary |b EBRY |n ebr11025925 | ||
| 938 | |a EBSCOhost |b EBSC |n 959968 | ||
| 994 | |a 92 |b IZTAP | ||