SciPy¶
| Release: | 0.10 |
|---|---|
| Date: | March 01, 2012 |
SciPy (pronounced “Sigh Pie”) is open-source software for mathematics, science, and engineering.
- SciPy Tutorial
- Introduction
- Basic functions in Numpy (and top-level scipy)
- 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
- Statistics (scipy.stats)
- Multi-dimensional image processing (scipy.ndimage)
- File IO (scipy.io)
- Weave (scipy.weave)
Reference¶
- Clustering package (scipy.cluster)
- K-means clustering and vector quantization (scipy.cluster.vq)
- Hierarchical clustering (scipy.cluster.hierarchy)
- 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)
- Maximum entropy models (scipy.maxentropy)
- Miscellaneous routines (scipy.misc)
- Multi-dimensional image processing (scipy.ndimage)
- Orthogonal distance regression (scipy.odr)
- Optimization and root finding (scipy.optimize)
- Nonlinear solvers
- Signal processing (scipy.signal)
- Sparse matrices (scipy.sparse)
- Sparse linear algebra (scipy.sparse.linalg)
- Spatial algorithms and data structures (scipy.spatial)
- Distance computations (scipy.spatial.distance)
- Special functions (scipy.special)
- Statistical functions (scipy.stats)
- Statistical functions for masked arrays (scipy.stats.mstats)
- C/C++ integration (scipy.weave)
