Scipy

scipy

#scipy

Table of Contents

About

1

Chapter 1: Getting started with scipy

2

Remarks

2

Versions

2

Examples

4

Installation or Setup

4

Convert a sparse matrix to a dense matrix using SciPy

4

Versions

5

Image Manipulation using Scipy (Basic Image resize)

5

Basic Hello World

6

Chapter 2: Fitting functions with scipy.optimize curve_fit

8

Introduction

8

Examples

8

Fitting a function to data from a histogram

8

Chapter 3: How to write a Jacobian function for optimize.minimize

11

Syntax

11

Remarks

11

Examples

11

Optimization Example (golden)

11

Optimization Example (Brent)

12

Rosenbrock function

13

Chapter 4: rv_continuous for Distribution with Parameters

15

Examples

15

Negative binomial on positive reals

15

Chapter 5: Smoothing a signal

16

Examples

16

Using a Savitzky?Golay filter

16

Credits

18

About

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1

Chapter 1: Getting started with scipy

Remarks

About Scipy

SciPy is a collection of mathematical algorithms and convenience functions built on the Numpy extension of Python. It adds significant power to the interactive Python session by providing the user with high-level commands and classes for manipulating and visualizing data. With SciPy an interactive Python session becomes a data-processing and system-prototyping environment rivaling systems such as MATLAB, IDL, Octave, R-Lab, and SciLab.

The additional benefit of basing SciPy on Python is that this also makes a powerful programming language available for use in developing sophisticated programs and specialized applications. Scientific applications using SciPy benefit from the development of additional modules in numerous niches of the software landscape by developers across the world. Everything from parallel programming to web and data-base subroutines and classes have been made available to the Python programmer. All of this power is available in addition to the mathematical libraries in SciPy.

Versions

Version Release Date 0.19.0 2017-03-09 0.18.0 2016-07-25 0.17.0 2016-01-22 0.16.1 2015-10-24 0.16.0 2015-07-23 0.16b2 2015-05-24 0.16b1 2015-05-12 0.15.1 2015-01-18 0.15.0 2015-01-11 0.14.1 2014-12-30 0.14.1rc1 2014-12-14 0.14.0 2014-05-03



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Version Release Date

0.14.0rc2 2014-04-23

0.14.0rc1 2014-04-02

0.14.0b1 2014-03-15

0.13.3 2014-02-04

0.13.2 2013-12-07

0.13.1 2013-11-16

0.13.0 2013-10-19

0.13.0rc1 2013-10-10

0.12.1 2013-10-08

0.12.0 2013-04-06

0.12.0rc1 2013-03-29

0.12.0b1 2013-02-16

0.11.0 2012-09-24

0.11.0rc2 2012-08-12

0.11.0rc1 2012-07-17

0.11.0b1 2012-06-12

0.10.1 2012-02-26

0.10.1rc2 2012-02-19

0.10.1rc1 2012-02-10

0.10.0 2011-11-13

0.10.0rc1 2011-11-03

0.10.0b2 2011-09-16

0.10.0b1 2011-09-11

0.9.0

2011-02-27



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