Re: [Numpy-discussion] Performance degradation when installing Numpy and Python not from packaging system?

2013-05-08 Thread Pauli Virtanen
Hi, 08.05.2013 20:47, Bin Huang kirjoitti: [clip] > In order to compare performance, I wrote a piece of code that simply > performs matrix-matrix multiplication using one of Numpy's functions. > The source code is listed as follows: [clip] Your benchmark essentially measures the speed of the BLAS

[Numpy-discussion] Performance degradation when installing Numpy and Python not from packaging system?

2013-05-08 Thread Bin Huang
Hi list, I have observed slowdown if Numpy and Python are installed manually (i.e. not from packaging system). The slowdown can be significant when problem size is large. I wish someone in this mailing list can give me some hints on this issue. I also post performance results and my source code he

Re: [Numpy-discussion] References to Numerical Recipes in Numpy code

2013-05-08 Thread Robert Kern
On Wed, May 8, 2013 at 6:09 PM, MACKEITH Andrew wrote: > The numpy libraries (numpy/core/machar.py, numpy/fft/info.py, > numpy/lib/function_base.py) contain references to "Numerical Recipes: The > Art of Scientific Computing". The book contains a licensing section which > states "... Unlicensed t

[Numpy-discussion] References to Numerical Recipes in Numpy code

2013-05-08 Thread MACKEITH Andrew
The numpy libraries (numpy/core/machar.py, numpy/fft/info.py, numpy/lib/function_base.py) contain references to "Numerical Recipes: The Art of Scientific Computing". The book contains a licensing section which states "... Unlicensed transfer of Numerical Recipes programs to any other format is

[Numpy-discussion] Consistency of numpy’s behavior with arrays of dimension 0

2013-05-08 Thread Sylvain Corlay
Hello everyone, 0d arrays are very convenient because they allow us to write functions that are valid for both arrays and scalar-like argument, thanks to Boolean indexing. However, most special functions in numpy (and scipy) and most Boolean operators, when called on 0d arrays, return scalars rat

Re: [Numpy-discussion] ANN: Spyder v2.2

2013-05-08 Thread Sylvain Corlay
Congratulations to Carlos Jed and Pierre for this new release. Best, Sylvain On Wednesday, May 8, 2013 11:15:20 AM UTC-4, Pierre Raybaut wrote: > > Hi all, > > On the behalf of Spyder's development team ( > http://code.google.com/p/spyderlib/people/list), I'm pleased to announce > that Spyder

[Numpy-discussion] ANN: WinPython 2.7.4.1 and 3.3.1.1, 32 and 64bit

2013-05-08 Thread Pierre Raybaut
Hi all, I am pleased to announce that four new versions of WinPython have been released yesterday with Python 2.7.4 and 3.3.1, 32 and 64 bits. Many packages have been added or upgraded (see the automatically-generated changelogs): * WinPython 2.7.4.1 32bit, 64bit -- including new Spyder v2.2: ht

[Numpy-discussion] ANN: Spyder v2.2

2013-05-08 Thread Pierre Raybaut
Hi all, On the behalf of Spyder's development team ( http://code.google.com/p/spyderlib/people/list), I'm pleased to announce that Spyder v2.2 has been released and is available for Windows XP/Vista/7/8, GNU/Linux and MacOS X: http://code.google.com/p/spyderlib/. This release represents 18 months