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IPython Notebook Essentials

You're reading from   IPython Notebook Essentials Compute scientific data and execute code interactively with NumPy and SciPy

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Product type Paperback
Published in Nov 2014
Publisher
ISBN-13 9781783988341
Length 190 pages
Edition 1st Edition
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Author (1):
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Luiz Felipe Martins Luiz Felipe Martins
Author Profile Icon Luiz Felipe Martins
Luiz Felipe Martins
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Toc

Overview of SciPy

SciPy is an extensive library for applied mathematics and scientific computation. The following is the complete list of all the modules available in the library:

Module

Functionality

cluster

Clustering algorithms

constants

Physical and mathematical constants

fftpack

Fast Fourier Transform

integrate

Integration and ordinary differential equations

interpolate

Interpolation and splines

io

Input and output

linalg

Linear algebra

ndimage

Image processing

odr

Orthogonal distance regression

optimize

Optimization and root-finding

signal

Signal processing

sparse

Sparse matrices

spatial

Spatial data structures

special

Special functions

stats

Statistical distributions

weave

C/C++ integration

The standard way to import SciPy modules in scripts is using the following command line:

from scipy import signal

Then, individual functions can be called with the usual module reference syntax, as follows:

signal.correlate(…...
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