SciPy Sub-Module
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A SciPy Sub-Module is a python library module within a SciPy library.
- Example(s):
- scipy.cluster, implements hierarchical clustering, vector quantization, K-means.
- scipy.fftpack, a Discrete Fourier Transform systems.
- scipy.integrate, a numerical integration systems.
- scipy.interpolate, implements interpolation tools.
- scipy.linalg, implements linear algebra routines.
- scipy.ndimage, for multi-dimensional image processing.
- scipy.optimize, implements optimization algorithms including scipy.optimize.leastsq, scipy.optimize.nnls, scipy.optimize.curve_fit, and scipy.optimize.linprog.
- scipy.signal, a signal processing systems.
- scipy.sparse, a sparse matrix system.
- scipy.spatial, for KD-trees, nearest neighbors, distance functions.
- scipy.stats, implements statistical functions.
- …
- Counter-Example(s):
- a numpy Module.
- a sklearn Module.
- See: Scientific Processing System.
References
2014
- http://en.wikipedia.org/wiki/SciPy#The_SciPy_Library.2FPackage
- The SciPy package of key algorithms and functions core to Python's scientific computing capabilities. Available sub-packages include:
- cluster: hierarchical clustering, vector quantization, K-means
- fftpack: Discrete Fourier Transform algorithms
- integrate: numerical integration routines
- interpolate: interpolation tools
- io: data input and output
- lib: Python wrappers to external libraries
- linalg: linear algebra routines
- misc: miscellaneous utilities (e.g. image reading/writing)
- ndimage: various functions for multi-dimensional image processing
- optimize: optimization algorithms including linear programming
- signal: signal processing tools
- sparse: sparse matrix and related algorithms
- spatial: KD-trees, nearest neighbors, distance functions
- special: special functions
- stats: statistical functions
- weave: tool for writing C/C++ code as Python multiline strings
- The SciPy package of key algorithms and functions core to Python's scientific computing capabilities. Available sub-packages include: