LEADER 04722nam 2200673 450 001 9910817020203321 005 20200520144314.0 010 $a1-78398-771-5 035 $a(CKB)2670000000599092 035 $a(EBL)1973843 035 $a(SSID)ssj0001470906 035 $a(PQKBManifestationID)11933442 035 $a(PQKBTitleCode)TC0001470906 035 $a(PQKBWorkID)11433566 035 $a(PQKB)10331791 035 $a(Au-PeEL)EBL1973843 035 $a(CaPaEBR)ebr11025925 035 $a(CaONFJC)MIL734276 035 $a(OCoLC)906041041 035 $a(MiAaPQ)EBC1973843 035 $a(PPN)228045304 035 $a(EXLCZ)992670000000599092 100 $a20150312h20152015 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aLearning SciPy for numerical and scientific computing $equick solutions to complex numerical problems in physics, applied mathematics, and science with SciPy /$fSergio J. Rojas G., Erik A. Christensen, Francisco J. Blanco-Silva 205 $aSecond edition. 210 1$aBirmingham, England ;$aMumbai, [India] :$cPackt Publishing,$d2015. 210 4$dİ2015 215 $a1 online resource (188 p.) 225 1 $aCommunity Experience Distilled 300 $aIncludes index. 311 $a1-78398-770-7 311 $a1-336-02990-0 327 $aCover; 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 327 $aShape 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 327 $aSolversSummary; 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 327 $aChapter 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 327 $aA 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 330 $aThis book targets programmers and scientists who have basic Python knowledge and who are keen to perform scientific and numerical computations with SciPy. 410 0$aCommunity experience distilled. 606 $aNumerical analysis$xData processing 606 $aPython (Computer program language) 615 0$aNumerical analysis$xData processing. 615 0$aPython (Computer program language) 676 $a519.4 700 $aRojas$b Sergio J.G$01683415 702 $aChristensen$b Erik A. 702 $aBlanco-Silva$b Francisco J. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910817020203321 996 $aLearning SciPy for numerical and scientific computing$94054130 997 $aUNINA