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PC Knowledge Base - Scipy
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SciPy is a Python library that is built on the NumPy extension and if SciPy is imported then there is, in general, no need to import NumPy.
Both NumPy and SciPy are used for used mathematical and numerical analysis. Although NumPy provides a number of functions that can help resolve linear algebra, Fourier transforms, etc, SciPy is the library that actually contains fully-featured versions of these functions along with many others. However, if scientific analysis is being performed using Python, then both NumPy and SciPy are required as SciPy builds on NumPy. It is installed with
pip install scipy

SciPy has a number of subpackages for various scientific computations that are shown in the following table:

Subpackage

Description

cluster

Clustering algorithms

constants

Physical and mathematical constants

fftpack

Fast Fourier Transform routines

integrate

Integration and ordinary differential equation solvers

interpolate

Interpolation and smoothing splines

io

Input and Output
linalg

Linear algebra

ndimage

N-dimensional image processing

odr

Orthogonal distance regression

optimize

Optimization and root-finding routines

signal

Signal processing

sparse

Sparse matrices and associated routines

spatial

Spatial data structures and algorithms

special

Special functions

stats

Statistical distributions and functions
These packages need to be imported individually before using them.

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