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22 Oct 09

Broadcasting in NumPy

www.scipy.org/EricsBroadcastingDoc - Preview

***** HowTo NumPy

Broadcasting provides a means of vectorizing array operations so that looping occurs in C instead of Python
In order to broadcast, the size of the trailing axes for both arrays in an operation must either be the same size or one of them must be one

16 Oct 09

Watershed Algorithm (Image Segmentation)–Numpy Cookbook

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Algorithm MatrixComputation NumPy

provided by scipy.ndimage, scipy.ndimage.watershed_ift.

15 Oct 09

Clustering using SciPy's k-means

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Blog Clustering DataViz Python Machine Learning Dimension Reduction NumPy

21 Aug 09

Mathesaurus

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Reference CS Python R Lexicon NumPy

04 Aug 09

Balbir's Blog: Lagrange's interpretation in python

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Python LagrangeMultiplier NumPy

04 Jul 09

Numpy Scripts

www.cfa.harvard.edu/...science - Preview

Python Code Statistics HowTo NumPy

01 Jul 09

Creating Images with Numpy

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HowTo Image ImageProcessing NumPy

single integer for each pixel
It expects raw data
1 more annotations...
- understanding how PIL's frombuffer() method works

07 Jun 09

SciPy/NumPy Optimization Module

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Optimization ***** NumPy

uses
the gradient of the objective function

09 Apr 09

NumPy Cookbook : Indexing

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***** NumPy Kata

What if you want to, say, save a slice specification to apply to many arrays later on
use a slice object
6 more annotations...
- If you supply no numbers, you get a two-dimensional array; if you supply one number, the dimension drops by one, and you get a one-dimensional array; and if you supply two numbers the dimension drops by two and you get a scalar
- you could represent row and column vectors as two-dimensional arrays, one of whose dimensions happens to be one
- t happens with some frequency that one wants to pull out values at a particular location in an array.
- many locations
- the returned array has the same shape
- to pull out a list of rows and columns from a matrix

06 Apr 09

Trapped in the USA: Quick and dirty minimization

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Optimization HowTo Blog Python NumPy Computation *****

Those that require a derivative, and those that don’t
roughly two types of minimization algorithms
1 more annotations...
- downhill-simplex minimization and sequential-univariate minimization

23 Feb 09

Python Package Index : scikits.ann 0.2.dev-r803

(np.array([[0.,0],[1,0],[1.5,2]]))

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Python Bindings Library Machine Learning kNN NumPy

13 Feb 09

Optimizing Computational Code with Numpy

www.scipy.org/PerformancePython - Preview

NumPy Python HowTo Computation *****

solving the 2D Laplace equation
iterative finite difference scheme
2 more annotations...
- four point averaging scheme
- Discretise the domain into an (nx x ny) grid of points

08 Feb 09

Python (Numpy) Course

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Python NumPy Course

20 Nov 08

SciPy Tutorial — SciPy v0.7 Reference Guide (DRAFT)

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***** Computation Optimization LinearAlgebra Statistics Python Library NumPy

wo functions are provided that are useful for approximating
derivatives of functions using discrete-differences
returns weighting coefficients for an equally-spaced $N$ -point approximation to the derivative of order $o.$