Congrats!
On Mon, Aug 3, 2015 at 7:38 PM Andrea Bedini and...@andreabedini.com
wrote:
===
Announcing PyTables 3.2.1
===
We are happy to announce PyTables 3.2.1.
What's new
==
This is a bug fix release. It contains a fix for a
Congrats all!
On Sun, Jan 11, 2015 at 9:50 PM, cjw c...@ncf.ca wrote:
Paul,
Wot, no AMD64?
Colin W.
On 11-Jan-15 12:50 PM, Paul Virtanen wrote:
-BEGIN PGP SIGNED MESSAGE-
Hash: SHA1
Dear all,
We are pleased to announce the Scipy 0.15.0 release.
The 0.15.0 release
Hello All,
Yesterday I opened PR #4889 https://github.com/numpy/numpy/pull/4998 to
solve a problem I have been having w.r.t. xdress and Nathaniel asked me
bring the issue up here. The PR itself is quite small (6 lines?) and is
easy to review.
The opening text of my PR is pasted below because I
Congrats Francesc!
On Tue, Jul 22, 2014 at 9:53 AM, Francesc Alted fal...@gmail.com wrote:
==
Announcing bcolz 0.7.0
==
What's new
==
In this release, support for Python 3 has been added, Pandas and
HDF5/PyTables conversion, support for
This is awesome! Congrats!
On Sun, Mar 16, 2014 at 9:39 AM, Eelco Hoogendoorn
hoogendoorn.ee...@gmail.com wrote:
Note that I am not opposed to extra operators in python, and only mildly
opposed to a matrix multiplication operator in numpy; but let me lay out
the case against, for your
Hello All!
I am pleased to announce that *SciPy 2014*, the thirteenth annual *Scientific
Computing with Python conference*, will be held this July 6th-12th in
Austin, Texas. SciPy is a community dedicated to the advancement of
scientific computing through open source Python software for
at 1:24 AM, Anthony Scopatz scop...@gmail.comwrote:
Hello All,
I am *extremely *pleased to be able to announce the version 0.4 release
of xdress. This version contains much anticipated full support for Clang
as a parser! This is almost entirely due to the efforts of Geoffrey
Irving. Please
Hello All,
The semantics of this seem quite insane to me:
In [1]: import numpy as np
In [2]: import collections
In [4]: isinstance(np.arange(5), collections.Sequence)
Out[4]: False
In [6]: np.version.full_version
Out[6]: '1.9.0.dev-eb40f65'
Is there any possibility that ndarray could inherit
is
very welcome!
Authors http://xdress.org/previous/0.4_release_notes.html#authors
- Anthony Scopatz http://scopatz.com/
- Geoffrey Irving *
- James Casbon *
- Kevin Tew *
- Spencer Lyon
- John Wiggins
- Matt McCormick
- Brad Buran
- Chris Harris *
- Gerald Dalley
Hello David,
There is a numpy-quarterion repo that has served me well in the past. I
believe this came out of a SciPy 2011 sprint. See
https://github.com/martinling/numpy_quaternion. I hope this helps.
Be Well
Anthony
On Thu, Jan 2, 2014 at 12:29 PM, David Goldsmith
team, or writing your own code
generation
plugin tool, please let us know. Participation is very welcome!
Authors
===
- [Anthony Scopatz](http://scopatz.com/)
- Spencer Lyon
- John Wiggins *
- Matt McCormick *
- Brad Buran
An * indicates a first time contributor.
Links
=
1. Homepage
Hi Geoffrey,
Not to toot my own horn here too much, but you really should have a look at
xdress (http://xdress.org/ and https://github.com/xdress/xdress). XDress
will generate a wrapper of the Force class for you and then also create a
custom numpy dtype for this class. In this way, you could
Hey Geoffrey,
Let's definitely take this off (this) list. The discussion could get
involved :).
Be Well
Anthony
On Tue, Jul 16, 2013 at 7:15 PM, Geoffrey Irving irv...@naml.us wrote:
On Tue, Jul 16, 2013 at 4:51 PM, Anthony Scopatz scop...@gmail.com
wrote:
Hi Geoffrey,
Not to toot my
On Tue, Jul 16, 2013 at 7:15 PM, Geoffrey Irving irv...@naml.us wrote:
On Tue, Jul 16, 2013 at 4:51 PM, Anthony Scopatz scop...@gmail.com
wrote:
Hi Geoffrey,
Not to toot my own horn here too much, but you really should have a look
at
xdress (http://xdress.org/ and https://github.com
help),
contributing
back to xdress, starting up a development team, or writing your own
code generation
plugin tool on top of the type system and autodescriber, please let us know.
Participation is very welcome!
Authors
===
- `Anthony Scopatz http://scopatz.com/`_
- Spencer Lyon *
- Gerald
===
Announcing PyTables 3.0.0
===
We are happy to announce PyTables 3.0.0.
PyTables 3.0.0 comes after about 5 years from the last major release
(2.0) and 7 months since the last stable release (2.4.0).
This is new major release and an important
Congrats Francesc!
On Sat, Apr 27, 2013 at 5:07 AM, Francesc Alted fal...@gmail.com wrote:
Announcing Numexpr 2.1
Numexpr is a fast numerical expression evaluator for NumPy. With it,
expressions that operate on arrays (like 3*a+4*b) are
Thanks for putting this together Chris.
I am in favor of option (1) Pure UTC. I think it is the simplest to
implement, and to get from / to other time zones is one ufunc application.
On the other hand, option (3) full time zone support isn't too bad either.
It is more work to implement but a
+1, if someone wants to use an older version of Python they can use an
older version of numpy.
On Thu, Dec 13, 2012 at 10:36 AM, Travis Oliphant tra...@continuum.iowrote:
A big +1 from me --- but I don't have anyone I know using 2.4 anymore
-Travis
On Dec 13, 2012, at 10:34 AM,
On Tue, Nov 27, 2012 at 2:08 PM, Fernando Perez fperez@gmail.comwrote:
On Thu, Nov 22, 2012 at 1:30 AM, Peter Cock p.j.a.c...@googlemail.com
wrote:
Perhaps http://numfocus.org/ could take them on, or the PSF?
(even if they don't have a specific use in mind immediately)
For the short
On Tue, Nov 27, 2012 at 3:51 PM, Peter Cock p.j.a.c...@googlemail.comwrote:
On Tue, Nov 27, 2012 at 9:25 PM, Anthony Scopatz scop...@gmail.com
wrote:
On Tue, Nov 27, 2012 at 2:08 PM, Fernando Perez fperez@gmail.com
wrote:
On Thu, Nov 22, 2012 at 1:30 AM, Peter Cock p.j.a.c
On Thu, Nov 8, 2012 at 7:06 AM, David Cournapeau courn...@gmail.com wrote:
On Thu, Nov 8, 2012 at 12:12 PM, Dag Sverre Seljebotn
d.s.seljeb...@astro.uio.no wrote:
On 11/08/2012 01:07 PM, Gael Varoquaux wrote:
On Thu, Nov 08, 2012 at 11:28:21AM +, Nathaniel Smith wrote:
I think
On Thu, Oct 4, 2012 at 12:23 PM, Jay Bourque jay.bour...@continuum.iowrote:
Hey Anthony, thanks for the comments.
On Mon, Oct 1, 2012 at 10:32 PM, Anthony Scopatz scop...@gmail.comwrote:
Hello Jay,
Cool idea! I like to see work on structured arrays. Just a couple of
questions
On Mon, Oct 1, 2012 at 2:32 PM, Chris Barker chris.bar...@noaa.gov wrote:
On Sat, Sep 29, 2012 at 2:16 AM, Gael Varoquaux
gael.varoqu...@normalesup.org wrote:
Next time I see you, I owe you a beer for making you cross :).
If I curse at you, will I get a beer too?
Wow! This is taking a
Hello Jay,
Cool idea! I like to see work on structured arrays. Just a couple of
questions:
- Since there are already have ufuncs for primitive dtypes (int, float,
etc), and you are just acting columnwise here, can't you write a single
function which interprets the dtypes, gathers the
On Fri, Sep 28, 2012 at 7:44 PM, Fernando Perez fperez@gmail.comwrote:
On Fri, Sep 28, 2012 at 3:11 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
Bitch, bitch, bitch. Look, I know you are pissed and venting a bit, but
this
problem could have been detected and reported 6 months
On Tue, Sep 11, 2012 at 12:52 AM, Jadhav, Alok
alok.jad...@credit-suisse.com wrote:
Hi Travis,
** **
Very Strange. I am on version 1.6.2 L
What could I be missing. I started using numpy quite recently. Is there a
way to share the data with you?
Hi Alok,
Typically, a
==
Announcing PyTables 2.4.0
==
We are happy to announce PyTables 2.4.0.
This is an incremental release which includes many changes to prepare
for future Python 3 support.
What's new
==
This release includes support for the float16 data
On Sun, Jul 15, 2012 at 9:26 PM, Travis Oliphant tra...@continuum.iowrote:
That reminds me.
How many NumPy devs are going to be at SciPy this year?It would be
good to have a NumPy sprint there. Ideas for what we could work on:
1) Make progress on the 1.7.0 release
2) Make progress on
+1 for more views. I agree with Fred about bundling the changes together.
On Sat, Jul 14, 2012 at 6:17 PM, Frédéric Bastien no...@nouiz.org wrote:
I think it is better that we bundle those change together. As it is
done for diagonal, doing it for this case as fine too.
Fred
On Sat, Jul
This is awesome!
On Mon, Jun 25, 2012 at 5:27 AM, klo uo klo...@gmail.com wrote:
I was reading mayavi documentation and one of the examples
(tvtk.ImageData) resembled Numpy logo grid.
I added barchart and tweaked a bit colormap and thought to post it for fun:
Hello All,
This week, while doing some optimization, I found that np.fromstring()
is significantly slower than many alternatives out there. This function
basically does two things: (1) it splits the string and (2) it converts the
data to the desired type.
There isn't much we can do about the
And I forgot to attach the relevant code (though it is also in my fork)...
On Sun, May 13, 2012 at 6:28 PM, Anthony Scopatz scop...@gmail.com wrote:
Hello All,
This week, while doing some optimization, I found that np.fromstring()
is significantly slower than many alternatives out
On Sun, Aug 21, 2011 at 7:24 AM, Pauli Virtanen p...@iki.fi wrote:
On Sat, 20 Aug 2011 16:18:55 -0700, Chris Withers wrote:
I've got a tree of nested dicts that at their leaves end in numpy arrays
of identical sizes.
What's the easiest way to persist these to disk so that I can pick up
code-block:: is a directive that I think might be specific to sphinx.
Naturally, github's renderer will drop it.
On Wed, Aug 24, 2011 at 7:10 PM, Mark Wiebe mwwi...@gmail.com wrote:
On Wed, Aug 24, 2011 at 5:05 PM, srean srean.l...@gmail.com wrote:
Following up on my own question: I can see
Hi Matt,
Actually, based on what is happening under the covers I think this behavior
makes sense.
a['f2'] would in theory grab the whole column, and so 'f2' not existing is a
field error.
a[0] on the other hand grabs the first row from the full structured array
and treats this as (key, value)
Hello All,
I am very pleased to announce inSCIght, a new scientific computing podcast
(press release below). I apologize for those of you in the intersection of
these lists that may receive this message multiple times.
As I mention in the press release, we are very open to your contributions!
Hi Antony
This seems to work for me... What version of python/numpy are you using?
Be Well
Anthony
On Tue, Nov 16, 2010 at 11:33 PM, Antony Lee antony@berkeley.eduwrote:
I just ran into the following:
np.dtype(uf4)
Traceback (most recent call last):
File stdin, line 1, in module
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