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)