SciPy¶
Release: | 0.17.0 |
---|---|
Date: | January 27, 2016 |
SciPy (pronounced “Sigh Pie”) is open-source software for mathematics, science, and engineering.
- SciPy Tutorial
- Introduction
- Basic functions
- Special functions (
scipy.special
) - Integration (
scipy.integrate
) - Optimization (
scipy.optimize
) - Interpolation (
scipy.interpolate
) - Fourier Transforms (
scipy.fftpack
) - Signal Processing (
scipy.signal
) - Linear Algebra (
scipy.linalg
) - Sparse Eigenvalue Problems with ARPACK
- Compressed Sparse Graph Routines (
scipy.sparse.csgraph
) - Spatial data structures and algorithms (
scipy.spatial
) - Statistics (
scipy.stats
) - Multidimensional image processing (
scipy.ndimage
) - File IO (
scipy.io
) - Weave (
scipy.weave
)
Reference¶
- Clustering package (
scipy.cluster
) - Constants (
scipy.constants
) - Discrete Fourier transforms (
scipy.fftpack
) - Integration and ODEs (
scipy.integrate
) - Interpolation (
scipy.interpolate
) - Input and output (
scipy.io
) - Linear algebra (
scipy.linalg
) - Miscellaneous routines (
scipy.misc
) - Multi-dimensional image processing (
scipy.ndimage
) - Orthogonal distance regression (
scipy.odr
) - Optimization and root finding (
scipy.optimize
) - Signal processing (
scipy.signal
) - Sparse matrices (
scipy.sparse
) - Sparse linear algebra (
scipy.sparse.linalg
) - Compressed Sparse Graph Routines (
scipy.sparse.csgraph
) - Spatial algorithms and data structures (
scipy.spatial
) - Special functions (
scipy.special
) - Statistical functions (
scipy.stats
) - Statistical functions for masked arrays (
scipy.stats.mstats
) - C/C++ integration (
scipy.weave
)