This is documentation for an old release of SciPy (version 0.11.0). Read this page Search for this page in the documentation of the latest stable release (version 1.15.1).

SciPy

Release:0.11 Date:September 30, 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
  • Compressed Sparse Graph Routines scipy.sparse.csgraph
  • Statistics (scipy.stats)
  • Multi-dimensional image processing (scipy.ndimage)
  • File IO (scipy.io)
  • Weave (scipy.weave)

• Contributing to SciPy
• API - importing from Scipy
• Release Notes

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)