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This book targets programmers and scientists who have basic Python knowledge and who are keen to perform scientific and numerical computations with SciPy.

This book targets programmers and scientists who have basic Python knowledge and who are keen to perform scientific and numerical computations with SciPy.

- Get to know the benefits of using the combination of Python, NumPy, SciPy, and matplotlib as a programming environment for scientific purposes
- Create and manipulate an object array used by SciPy
- Use SciPy with large matrices to compute eigenvalues and eigenvectors
- Focus on construction, acquisition, quality improvement, compression, and feature extraction of signals
- Make use of SciPy to collect, organize, analyze, and interpret data, with examples taken from statistics and clustering
- Acquire the skill of constructing a triangulation of points, convex hulls, Voronoi diagrams, and many similar applications
- Find out ways that SciPy can be used with other languages such as C/C++, Fortran, and MATLAB/Octave

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Paperback book shipped to your preferred address

Download this book in **EPUB** and **PDF** formats

Access this title in our online reader with advanced features

Estimated delivery fee
Deliver to United States
(Includes tracking information)

Economy delivery 10 - 13 business days

Free
~~
$6.95
~~

Premium delivery 6 - 9 business days

$21.95

Publication date :
Feb 26, 2015

Length:
188 pages

Edition :
2nd

Language :
English

ISBN-13 :
9781783987702

Category :

Languages :

Concepts :

Tools :

Total
$
126.97

1. Introduction to SciPy

2. Working with the NumPy Array As a First Step to SciPy

3. SciPy for Linear Algebra

4. SciPy for Numerical Analysis

5. SciPy for Signal Processing

6. SciPy for Data Mining

7. SciPy for Computational Geometry

8. Interaction with Other Languages

Index

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