Re: [Numpy-discussion] Hook in __init__.py to let distributors patch numpy

+1. This seems nicer than patching __init__.py itself, in that it is much more transparent. Good idea. Michael On Thu, Feb 11, 2016 at 7:19 PM Matthew Brett wrote: > Hi, > > Over at https://github.com/numpy/numpy/issues/5479 we're discussing > Windows wheels. > > On

Re: [Numpy-discussion] Numpy 1.11.0b2 released

FWIW, we (Continuum) are working on a CI system that builds conda recipes. Part of this is testing not only individual packages that change, but also any downstream packages that are also in the repository of recipes. The configuration for this is in

Re: [Numpy-discussion] Numpy 1.11.0b2 released

the whole CI setup process. We hope we can help each other rather than compete. Best, Michael On Sat, Feb 6, 2016 at 5:53 PM Chris Barker <chris.bar...@noaa.gov> wrote: > On Sat, Feb 6, 2016 at 3:42 PM, Michael Sarahan <msara...@gmail.com> > wrote: > >> FWIW, we (Continuum)

Re: [Numpy-discussion] Building Numpy with OpenBLAS

), but that shouldn't have > any effect I would imagine. > > Greg > > On Wed, Jan 27, 2016 at 1:14 PM, Michael Sarahan <msara...@gmail.com> > wrote: > >> I'm not sure about the mingw tool chain, but usually on windows at link >> time you need a .lib file

Re: [Numpy-discussion] Building Numpy with OpenBLAS

I'm not sure about the mingw tool chain, but usually on windows at link time you need a .lib file, called the import library. The .dll is used at runtime, not at link time. This is different from *nix, where the .so serves both purposes. The link you posted mentions import files, so I hope this

Re: [Numpy-discussion] Appveyor Testing Changes

Conda can generally install older versions of python in environments: conda create -n myenv python=3.4 You really don't need any particular initial version of python/conda in order to do this. You do, however, need to activate the new environment to use it: activate myenv (For windows, you do

Re: [Numpy-discussion] performance solving system of equations in numpy and MATLAB

Continuum provides MKL free now - you just need to have a free anaconda.org account to get the license: http://docs.continuum.io/mkl-optimizations/index HTH, Michael On Wed, Dec 16, 2015 at 12:35 PM Edison Gustavo Muenz < edisongust...@gmail.com> wrote: > Sometime ago I saw this:

Re: [Numpy-discussion] [SciPy-Dev] Setting up a dev environment with conda

Running tests in the folder might be causing your problem. If it's trying to import numpy, and numpy is a folder in your current folder, sometimes you see errors like this. The confusion is that Python treats folders (packages) similarly to modules, and the resolution order sometimes bites you.

Re: [Numpy-discussion] At.: use less RAM memory and increase execution speed

xrange should be more memory efficient than range: http://stackoverflow.com/questions/135041/should-you-always-favor-xrange-over-range Replacing arrays with lists is probably a bad idea for a lot of reasons. You'll lose nice vectorization of simple operations, and all of numpy's other benefits.