Index
A
- Airy function
- about / Airy and Bairy functions
- Anaconda
- URL / Installing SciPy
- array conversions / Array conversions
- array manipulation
- array routines, used for / Routines for array manipulation
- array object
- about / The array object
- array conversions / Array conversions
- shape, selecting / Shape selection/manipulations
- shape, manipulating / Shape selection/manipulations
- object calculations / Object calculations
- array routines
- about / Array routines
- used, for creating arrays / Routines to create arrays
- used, for combining multiple arrays / Routines for the combination of two or more arrays
- used, for array manipulation / Routines for array manipulation
- used, for extracting information from arrays / Routines to extract information from arrays
- arrays
- indexing / Indexing and slicing arrays
- slicing / Indexing and slicing arrays
- creating, array routines used / Routines to create arrays
B
- Bairy function
- about / Airy and Bairy functions
- Bessel function
- about / The Bessel and Struve functions
- beta integral / Gamma and beta integrals
- Biggles
- URL / What is SciPy?
- Bray-Curtis / Distances
- Butterworth filters / Filter design
C
- C/C++
- interacting with / Interaction with C/C++
- formats / Interaction with C/C++
- C/C++, parameters
- code parameter / Interaction with C/C++
- arg_names parameter / Interaction with C/C++
- local_dict parameter / Interaction with C/C++
- global_dict parameter / Interaction with C/C++
- force parameter / Interaction with C/C++
- Canberra / Distances
- Chaco
- URL / What is SciPy?
- Chebyshev / Distances
- Chi-square test
- clustering
- about / Clustering
- vector quantization / Vector quantization and k-means
- k-means / Vector quantization and k-means
- hierarchical clustering / Hierarchical clustering
- mammals, clustering by dentition / Clustering mammals by their dentition
- convenience functions
- and test functions / Convenience and test functions
D
- datatype
- using / Using datatypes
- Delaunay triangulation
- about / Interaction with MATLAB/Octave
- descriptive statistics
- about / Descriptive statistics
- DFT
- about / Discrete Fourier Transforms
- distances, data mining
- about / Distances
- distribution fitting
- about / Distribution fitting
- distributions
- about / Distributions
- documentation
- finding / How to find documentation
E
- Eigenvalue problems / Eigenvalue problems and matrix decompositions
- elliptic integrals / Elliptic integrals
- empty command / Routines to create arrays
- Enthought
- URL / Installing SciPy
- exponential integral / Exponential/logarithm integrals
F
- filters
- about / Filters
- LTI system theory / The LTI system theory
- design / Filter design, Window functions
- image interpolation / Image interpolation
- morphology / Morphology
- finite element solver
- for Laplace's equation / A finite element solver for Laplace's equation
- Finite impulse response (FIR) / Filter design
- Fortran
- interacting with / Interaction with Fortran
- functions
- evaluating / The evaluation of special functions
- gamma function / The gamma function
- Riemann zeta function / The Riemann zeta function
- Bairy function / Airy and Bairy functions
- Airy function / Airy and Bairy functions
- Bessel function / The Bessel and Struve functions
- Struve function / The Bessel and Struve functions
- special functions / Other special functions
- elliptic functions / Other special functions
G
- gamma function
- about / The gamma function
- gamma integral / Gamma and beta integrals
- GNU Octave system
- about / What is SciPy?
- Gohlke
- URL / Installing SciPy
H
- HAADF-STEM
- Hamming / Distances
- hierarchical clustering / Hierarchical clustering
- HippoDraw
- URL / What is SciPy?
- Horner scheme
- hyperbolic trigonometric integral / Trigonometric and hyperbolic trigonometric integrals
I
- identity command / Routines to create arrays
- image compression
- image interpolation / Image interpolation
- Infinite impulse response (IIR) / Filter design
- integration
- about / Integration
- exponential integral / Exponential/logarithm integrals
- logarithm integral / Exponential/logarithm integrals
- trigonometric integral / Trigonometric and hyperbolic trigonometric integrals
- hyperbolic trigonometric integral / Trigonometric and hyperbolic trigonometric integrals
- elliptic integrals / Elliptic integrals
- gamma integral / Gamma and beta integrals
- beta integral / Gamma and beta integrals
- numerical integration / Numerical integration
- interpolation
- about / Interpolation
- interval estimation
- IPython Notebook
- IPython Notebooks
- opening / How to open IPython Notebooks
J
- Jaccard-Needham / Distances
K
- kernel density estimation
- about / Distribution fitting
- Kolmogorov / Filters
- Kolmogorov-Smirnov tests
- KroghInterpolator command / Interpolation
- Kulsinski / Distances
L
- Laplace's equation
- finite element solver, used for / A finite element solver for Laplace's equation
- Levenberg-Marquardt algorithm / Regression
- logarithm integral / Exponential/logarithm integrals
- Lorenz attractors / Lorenz attractors
- LTI system theory / The LTI system theory
M
- Mac OS X
- SciPy, installing on / Installing SciPy on Mac OS X
- Mahalanobis / Distances
- mammals
- clustering, by dentition / Clustering mammals by their dentition
- Manhattan / Distances
- Maple
- about / What is SciPy?
- masking / Routines to create arrays
- Mathematica
- about / What is SciPy?
- MATLAB
- about / What is SciPy?
- MATLAB/Octave
- interacting with / Interaction with MATLAB/Octave
- matplotlib
- about / What is SciPy?
- matrix
- creating / Creating a matrix
- matrix decompositions / Eigenvalue problems and matrix decompositions
- Pivoted LU decomposition / Eigenvalue problems and matrix decompositions
- singular value decomposition / Eigenvalue problems and matrix decompositions
- cholesky decomposition / Eigenvalue problems and matrix decompositions
- QR and QZ decompositions / Eigenvalue problems and matrix decompositions
- Schur decomposition / Eigenvalue problems and matrix decompositions
- Hessenberg decomposition / Eigenvalue problems and matrix decompositions
- matrix methods
- about / Matrix methods
- operations between matrices / Operations between matrices
- functions, on matrices / Functions on matrices
- Eigenvalue problems / Eigenvalue problems and matrix decompositions
- matrix decompositions / Eigenvalue problems and matrix decompositions
- image compression, via SVD / Image compression via the singular value decomposition
- solvers / Solvers
- MayaVi
- URL / What is SciPy?
- morphology / Morphology
- multiple arrays
- combining, array routines used / Routines for the combination of two or more arrays
N
- Niobium oxide / The structural model of oxides
- numerical integration / Numerical integration
O
- object calculations / Object calculations
- object essentials
- about / Object essentials
- ones command / Routines to create arrays
- optimal weighings
- example / Creating a matrix
- optimization
- about / Optimization
- minimization, issues / Minimization
- roots / Roots
- orthonormal basis
- creating / Operations between matrices
P
- PCHIP monotonic cubic interpolation (pchip) / Interpolation
- Pearson correlation coefficient
- Pearson kurtosis / How to find documentation
- PIL
- URL / What is SciPy?
- Plotly
- URL / What is SciPy?
- point biserial correlation
- polynomials
- about / Univariate polynomials
- Portable Network Graphics (PNG) / Scientific visualization
- Python
- formats / Interaction with C/C++
- Python Imaging Library (PIL) / Signal construction
R
- rank-order correlation
- regression
- about / Regression
- Riemann zeta function
- about / The Riemann zeta function
- RPy
- URL / What is SciPy?
- Runge-Kutta method / Ordinary differential equations
S
- Sage (System for Algebra and Geometry Experimentation) / What is SciPy?
- scientific visualization
- about / Scientific visualization
- SciPy
- about / What is SciPy?
- characteristics / What is SciPy?
- installing / Installing SciPy
- installing, on Mac OS X / Installing SciPy on Mac OS X
- installing, on Unix/Linux / Installing SciPy on Unix/Linux
- installing, on Windows / Installing SciPy on Windows
- ordinary differential equations / Ordinary differential equations
- methods / Hierarchical clustering
- scipy.special module / Univariate polynomials
- SciPy installation
- testing / Testing the SciPy installation
- SciPy mailing list
- SciPy organization
- about / SciPy organization
- signal construction
- about / Signal construction
- slicing
- about / Indexing and slicing arrays
- Sobel algorithm / Filters
- SourceForge
- URL / Installing SciPy
- sparse matrix
- URL / Creating a matrix
- Spence's integral / Exponential/logarithm integrals
- structural model, of oxides
- about / The structural model of oxides
- Struve function
- about / The Bessel and Struve functions
- SVD
- image compression, via / Image compression via the singular value decomposition
- SWIG
- about / Interaction with C/C++
- URL / Interaction with C/C++
T
- t-tests
- test functions
- and convenience function / Convenience and test functions
- trigonometric integral / Trigonometric and hyperbolic trigonometric integrals
U
- univariate splines (InterpolatedUnivariateSpline). / Interpolation
- Unix/Linux
- SciPy, installing on / Installing SciPy on Unix/Linux
V
- vector
- creating / Vector creation
- vector operations
- about / Vector operations
- addition / Addition/subtraction
- subtraction / Addition/subtraction
- scalar product / Scalar/Dot product
- dot product / Scalar/Dot product
- cross product / Cross/Vector product – on three-dimensional space vectors
- vector product / Cross/Vector product – on three-dimensional space vectors
W
- Wakari
- warnings / Distances
- Wiener / Filters
- Windows
- SciPy, installing on / Installing SciPy on Windows
Z
- zeros command / Routines to create arrays