SciPy User Guide#
SciPy is a collection of mathematical algorithms and convenience functions built on NumPy . It adds significant power to Python by providing the user with high-level commands and classes for manipulating and visualizing data.
Subpackages and User Guides#
SciPy is organized into subpackages covering different scientific computing domains. These are summarized in the following table, with their API reference linked in the Subpackage column, and user guide (if available) linked in the Description column:
Subpackage |
Description and User Guide |
---|---|
Clustering algorithms |
|
Physical and mathematical constants |
|
Finite difference differentiation tools |
|
Fast Fourier Transform routines (legacy) |
|
Orthogonal distance regression |
|
There are also additional user guides for these topics:
Sparse eigenvalue problems with ARPACK - Eigenvalue problem solver using iterative methods
Compressed Sparse Graph Routines (scipy.sparse.csgraph) - Compressed Sparse Graph Routines
For guidance on organizing and importing functions from SciPy subpackages, refer to the Guidelines for Importing Functions from SciPy.