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+Why Python? 

 * http://geosci.uchicago.edu/~rtp1/itr/Python.html
 * http://www.scipy.org/NumPyTestimony
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+SiaExercisesLesson3

== Lesson 4 - Image Processing ==

SiaProgrammingPythonImageProc

SiaExercisesLesson4

== Lesson 5/6 - Image Processing ==

SiaProgrammingPythonImageProc

SiaExercisesLesson5

== Lesson 7 - Image Processing: Bayes classification, segmentation by thresholding ==

SiaProgrammingPythonImageProc

SiaExercisesLesson7

== Lesson 8 - Image Processing: Texture ==

SiaProgrammingPythonImageProc

SiaExercisesLesson8

== Lesson 9/10 - Image Processing: Kmeans algorithm, Vector Quantization ==

SiaProgrammingPythonImageProc

SiaExercisesLesson9

== Lesson 11 - Image Processing: Filter ==

SiaProgrammingPythonImageProc

SiaExercisesLesson11
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- *[[http://37mm.no/mpy/idl-numpy.html|NumPy for IDL users]]
 *[[http://www.scipy.org/NumPy_for_Matlab_Users|NumPy for Matlab users]]
+ * [[http://37mm.no/mpy/idl-numpy.html|NumPy for IDL users]]
 * [[http://www.scipy.org/NumPy_for_Matlab_Users|NumPy for Matlab users]]
 * [[http://www.tau.ac.il/~kineret/amit/scipy_tutorial/|SciPy tutorial]]
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+=== RPy ===
 * [[http://rpy.sourceforge.net/| RPy (R from Python)]] Statistical computing and graphics

Programming Python

Lesson 1 - Introduction

Lesson 2 - Data types, structures and functions

Lesson 3 - System, I/O

Lesson 4 - Image Processing

Lesson 5/6 - Image Processing

Lesson 7 - Image Processing: Bayes classification, segmentation by thresholding

Lesson 8 - Image Processing: Texture

Lesson 9/10 - Image Processing: Kmeans algorithm, Vector Quantization

Lesson 11 - Image Processing: Filter

Documentation

Modules

SciPy/NumPy

pylab

GDAL

PyNGL

RPy

Download