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SciPy Sub – Packages

SciPy has the number of sub-packages for the various scientific computing domains. The following table is given below:

Sr.	Sub-Package	Description
1.	scipy.cluster	Cluster algorithms are used to vector quantization/ Kmeans.
2.	scipy.constants	It represents physical and mathematical constants.
3.	scipy.fftpack	It is used for Fourier transform.
4.	scipy.integrate	Integration routines
5.	scipy.interpolation	Interpolation
6.	scipy.linalg	It is used for linear algebra routine.
7.	scipy.io	It is used for data input and output.
8.	scipy.ndimage	It is used for the n-dimension image.
9.	scipy.odr	Orthogonal distance regression.
10.	scipy.optimize	It is used for optimization.
11.	scipy.signal	It is used in signal processing.
12.	scipy.sparse	Sparse matrices and associated routines.
13.	scipy.spatial	Spatial data structures and algorithms.
14.	scipy.special	Special Function.
15.	scipy.stats	Statistics.
16.	scipy.weaves	It is a tool for writing.

Here, we described the brief introduction of the SciPy subpackages. We will learn about these packages in further tutorial.

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