Re: [Numpy-discussion] Fast Access to Container of Numpy Arrays on Disk?

>From what I know this would be the use case that Dask seems to solve. I think this blog post can help: https://www.continuum.io/content/xray-dask-out-core-labeled-arrays-python Notice that I haven't used any of these projects myself. On Thu, Jan 14, 2016 at 11:48 AM, Francesc Alted

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

Sometime ago I saw this: https://software.intel.com/sites/campaigns/nest/ I don't know if the "community" license applies in your case though. It is worth taking a look at. On Wed, Dec 16, 2015 at 4:30 PM, Francesc Alted wrote: > Sorry, I have to correct myself, as per: >

Re: [Numpy-discussion] Proposal: stop supporting 'setup.py install'; start requiring 'pip install .' instead

I'm sorry if this is out-of-topic, but I'm curious on why nobody mentioned Conda yet. Is there any particular reason for not using it? On Tue, Oct 27, 2015 at 11:48 AM, James E.H. Turner wrote: > Apparently it is not well known that if you have a Python project >> source

Re: [Numpy-discussion] Problems using add_npy_pkg_config

Why don't you use CMake ? It's pretty standard for C/C++. On Wed, Aug 12, 2015 at 2:35 PM, Ralf Gommers ralf.gomm...@gmail.com wrote: On Wed, Aug 12, 2015 at 7:23 PM, Charles R Harris charlesr.har...@gmail.com wrote: On Wed, Aug 12, 2015 at 10:50 AM, Ralf Gommers ralf.gomm...@gmail.com

Re: [Numpy-discussion] IDE's for numpy development?

The PTVS can debug into native code. On Wed, Apr 1, 2015 at 2:21 PM, josef.p...@gmail.com wrote: On Wed, Apr 1, 2015 at 12:04 PM, Charles R Harris charlesr.har...@gmail.com wrote: Hi All, In a recent exchange Mark Wiebe suggested that the lack of support for numpy development in

Re: [Numpy-discussion] Initializing array from buffer

Have you tried using the C-API to create the array? This link might be of help: http://docs.scipy.org/doc/numpy/reference/c-api.array.html#creating-arrays I know that Boost.Python can handle this. On Sun, Nov 16, 2014 at 3:42 PM, Andrea Arteaga andyspi...@gmail.com wrote: Hello. Using the

[Numpy-discussion] Accept numpy arrays on arguments of numpy.testing.assert_approx_equal()

I’ve implemented support for numpy.arrays for the arguments of numpy.testing.assert_approx_equal() and have issued a pull-request https://github.com/numpy/numpy/pull/5219 on Github. I don’t know if I should be sending the message to the list to notify about this, but since I’m new to the