Mailman 3 February 2016 - NumPy-Discussion

Fwd: Multi-distribution Linux wheels - please test
by Freddy Rietdijk Feb. 9, 2016

Feb. 9, 2016

On Nix we also had trouble with OpenBLAS 0.2.15. Version 0.2.14 did not cause any segmentation faults so we reverted to that version. https://github.com/scipy/scipy/issues/5620 (hopefully this time the e-mail gets through) On Tue, Feb 9, 2016 at 10:21 AM, Daπid <davidmenhur(a)gmail.com> wrote: > On 8 February 2016 at 20:25, Matthew Brett <matthew.brett(a)gmail.com> > wrote: > >> >> I used the latest release, v0.2.15: >> >> https://github.com/… [View More]

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Multi-distribution Linux wheels - please test
by Matthew Brett Feb. 9, 2016

Feb. 9, 2016

Hi, As some of you may have seen, Robert McGibbon and Nathaniel have just guided a PEP for multi-distribution Linux wheels past the approval process over on distutils-sig: https://www.python.org/dev/peps/pep-0513/ The PEP includes a docker image on which y'all can build wheels which match the PEP: https://quay.io/repository/manylinux/manylinux Now we're at the stage where we need stress-testing of the built wheels to find any problems we hadn't thought of. I've built numpy and scipy … [View More]

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resizeable arrays using shared memory?
by Elliot Hallmark Feb. 9, 2016

Feb. 9, 2016

Hi all, I have a program that uses resize-able arrays. I already over-provision the arrays and use slices, but every now and then the data outgrows that array and it needs to be resized. Now, I would like to have these arrays shared between processes spawned via multiprocessing (for fast interprocess communication purposes, not for parallelizing work on an array). I don't care about mapping to a file on disk, and I don't want disk I/O happening. I don't care (really) about data being … [View More]

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Re: [Numpy-discussion] [SciPy-Dev] Multi-distribution Linux wheels - please test
by Nathaniel Smith Feb. 7, 2016

Feb. 7, 2016

On Feb 7, 2016 15:27, "Charles R Harris" <charlesr.harris(a)gmail.com> wrote: > > > > On Sun, Feb 7, 2016 at 2:16 PM, Nathaniel Smith <njs(a)pobox.com> wrote: >> >> On Sun, Feb 7, 2016 at 9:49 AM, Charles R Harris >> <charlesr.harris(a)gmail.com> wrote: >> > >> > >> > On Sun, Feb 7, 2016 at 3:40 AM, Nathaniel Smith <njs(a)pobox.com> wrote: >> >> >> >> On Feb 6, 2016 12:27 PM, "Matthew Brett" … [View More]

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ANN: numexpr 2.5
by Francesc Alted Feb. 6, 2016

Feb. 6, 2016

========================= Announcing Numexpr 2.5 ========================= Numexpr is a fast numerical expression evaluator for NumPy. With it, expressions that operate on arrays (like "3*a+4*b") are accelerated and use less memory than doing the same calculation in Python. It wears multi-threaded capabilities, as well as support for Intel's MKL (Math Kernel Library), which allows an extremely fast evaluation of transcendental functions (sin, cos, tan, exp, log...) while squeezing the last … [View More]

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Re: [Numpy-discussion] Numpy 1.11.0b2 released
by josef.pktd＠gmail.com Feb. 5, 2016

Feb. 5, 2016

On Fri, Feb 5, 2016 at 3:24 PM, <josef.pktd(a)gmail.com> wrote: > > > On Fri, Feb 5, 2016 at 1:14 PM, Pauli Virtanen <pav(a)iki.fi> wrote: > >> 05.02.2016, 19:55, Nathaniel Smith kirjoitti: >> > On Feb 5, 2016 8:28 AM, "Chris Barker - NOAA Federal" < >> chris.barker(a)noaa.gov> >> > wrote: >> >> >> >>> An extra ~2 hours of tests / 6-way parallelism is not that big a deal >> >>> in the grand … [View More]

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[OT] Interpolation of an unevently sampled bandwidth limited signal
by Nadav Horesh Feb. 4, 2016

Feb. 4, 2016

I have several cases of hand digitized spectra that I'd like to resample these spectra at even spacings. My problem is that cubic or RBF splines often result in an unacceptible over-shooting. Is there a python module that provides something similar to sinc interpolation on unevenly space sampled signal? Nadav.

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Re: [Numpy-discussion] [OT] Interpolation of an unevently sampled, bandwidth limited signal
by Jonathan Stickel Feb. 4, 2016

Feb. 4, 2016

On 2/4/16 02:42 , numpy-discussion-request(a)scipy.org wrote: > Date: Thu, 4 Feb 2016 09:32:36 +0000 > From: Nadav Horesh<nadavh(a)visionsense.com> > To: numpy-discussion<numpy-discussion(a)scipy.org> > Subject: [Numpy-discussion] [OT] Interpolation of an unevently sampled > bandwidth limited signal > Message-ID: > <SN1PR08MB1758DB00A8EE38386BCA3D88CBD10(a)SN1PR08MB1758.namprd08.prod.outlook.com> > > Content-Type: text/plain; charset="iso-8859-1" … [View More]

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julia - Multidimensional algorithms and iteration
by Neal Becker Feb. 2, 2016

Feb. 2, 2016

http://julialang.org/blog/2016/02/iteration/

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Numpy 1.11.0b1 is out
by Charles R Harris Feb. 1, 2016

Feb. 1, 2016

Hi All, I'm pleased to announce that Numpy 1.11.0b1 <http://sourceforge.net/projects/numpy/files/NumPy/1.11.0b1/> is now available on sourceforge. This is a source release as the mingw32 toolchain is broken. Please test it out and report any errors that you discover. Hopefully we can do better with 1.11.0 than we did with 1.10.0 ;) Chuck

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Numpy pull requests getting out of hand.
by Charles R Harris Feb. 1, 2016

Feb. 1, 2016

Hi All, There are now 130 open numpy pull requests and it seems almost impossible to keep that number down. My personal decision is that I am going to ignore any new enhancements for the next couple of months and only merge bug fixes, tests, house keeping (style, docs, deprecations), and old PRs. I would also request that other maintainers start looking a taking care of older PRs, either cleaning them up and merging, or closing them. Chuck

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