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  • Book Overview & Buying IPython Notebook Essentials
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IPython Notebook Essentials

IPython Notebook Essentials

By : Martins
3.7 (3)
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IPython Notebook Essentials

IPython Notebook Essentials

3.7 (3)
By: Martins

Overview of this book

If you are a professional, student, or educator who wants to learn to use IPython Notebook as a tool for technical and scientific computing, visualization, and data analysis, this is the book for you. This book will prove valuable for anyone that needs to do computations in an agile environment.
Table of Contents (10 chapters)
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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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Tech Concepts
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