Learning SciPy for Numerical and Scientific Computing -- Table of Contents -- Learning SciPy for Numerical and Scientific Computing -- Credits -- About the Author -- About the Reviewers -- www.PacktPub.com -- Support files, eBooks, discount offers and more -- Why Subscribe? -- Free Access for Packt account holders -- Preface -- What this book covers -- What you need for this book -- Who this book is for -- Conventions -- Reader feedback -- Customer support -- Errata -- Piracy -- Questions -- 1. Introduction to SciPy -- What is SciPy? -- How to install SciPy -- SciPy organization -- How to find documentation -- Scientific visualization -- Summary -- 2. Top-level SciPy -- Object essentials -- Datatype -- Indexing -- The array object -- Array routines -- Routines for array creation -- Routines for the combination of two or more arrays -- Routines for array manipulation -- Routines to extract information from arrays -- Summary -- 3. SciPy for Linear Algebra -- Matrix creation -- Matrix methods -- Operations between matrices -- Functions on matrices -- Eigenvalue problems and matrix decompositions -- Image compression via the singular value decomposition -- Solvers -- Summary -- 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 -- Bessel and Struve functions -- Other special functions -- Interpolation and 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 -- 5. SciPy for Signal Processing -- Discrete Fourier Transforms -- Signal construction -- Filters.

LTI system theory -- Filter design -- Window functions -- Image interpolation -- Morphology -- Summary -- 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 -- Summary -- 7. SciPy for Computational Geometry -- Structural model of oxides -- A finite element solver for Poisson's equation -- Summary -- 8. Interaction with Other Languages -- Fortran -- C/C++ -- Matlab/Octave -- Summary -- Index.