Hi all,
for one of my projects I am using basically using NLTK for pos tagging,
which internally uses a 'english.pickle' file. I managed to package the
nltk library with these pickle files to make them available to mapper and
reducer for hadoop streaming job using -file option.
However, when
Hello,
I apologize for pinging the list, but I was wondering if there was
interest in either of https://github.com/numpy/numpy/pull/5457 (make
array data aligned by default) or
https://github.com/numpy/numpy/pull/5470 (make the array data allocator
configurable)?
Regards
Antoine.
Chris Barker chris.bar...@noaa.gov wrote:
The strongest use-case seems to be
for teaching that involves linear algebra concepts, not real production
code.
Not really. SymPy is a better teaching tool.
Some find A*B easier to read than dot(A,B). But with the @ operator in
Python 3.5 it does
On Feb 10, 2015 1:03 AM, cjw c...@ncf.ca wrote:
On 09-Feb-15 2:34 AM, Stefan Reiterer wrote:
Ok that are indeed some good reasons to keep the status quo, especially
since
performance is crucial for numpy.
It's a dillemma: Using the matrix class for linear algebra would be the
correct
way
On 10 Feb 2015 09:11, Antoine Pitrou solip...@pitrou.net wrote:
Hello,
I apologize for pinging the list, but I was wondering if there was
interest in either of https://github.com/numpy/numpy/pull/5457 (make
array data aligned by default) or
https://github.com/numpy/numpy/pull/5470 (make
On 10 Feb 2015 13:10, Antoine Pitrou solip...@pitrou.net wrote:
On Tue, 10 Feb 2015 11:26:22 -0800
Nathaniel Smith n...@pobox.com wrote:
On 10 Feb 2015 09:11, Antoine Pitrou solip...@pitrou.net wrote:
Hello,
I apologize for pinging the list, but I was wondering if there was
On 10.02.2015 22:33, Nathaniel Smith wrote:
On 10 Feb 2015 13:10, Antoine Pitrou solip...@pitrou.net
mailto:solip...@pitrou.net wrote:
On Tue, 10 Feb 2015 11:26:22 -0800
Nathaniel Smith n...@pobox.com mailto:n...@pobox.com wrote:
On 10 Feb 2015 09:11, Antoine Pitrou solip...@pitrou.net
On Tue, Feb 10, 2015 at 5:40 PM, Chris Barker chris.bar...@noaa.gov wrote:
On Tue, Feb 10, 2015 at 12:28 AM, Todd toddr...@gmail.com wrote:
So maybe the better way would be not to add warnings to braodcasting
operations,
but to overhaul the matrix class
to make it more attractive for
Chris Barker chris.bar...@noaa.gov wrote:
Well, splitting it off is a good idea, seeing as how it hasn't gotten much
love. But if the rest of numpy does not work well with it, then it becomes
even less useful.
PEP 3118 takes care of that.
Sturla
Thanks David. But do I need to install virtualenv on every node in hadoop
cluster? Actually I am not very sure whether same namenodes are assigned
for my every hadoop job. So how shall I proceed on such scenario.
Thanks for your inputs.
Kartik
On Feb 11, 2015 1:56 AM, Daπid davidmen...@gmail.com
On 11 February 2015 at 03:38, Kartik Kumar Perisetla
kartik.p...@gmail.com wrote:
Also, I don't have root access thus, can't install numpy or any other
package on cluster
You can create a virtualenv, and install packages on it without
needing root access. To minimize trouble, you can ensure it
It seems to be agreed that there are weaknesses in the existing Numpy Matrix
Class.
Some problems are illustrated below.
I'll try to put some suggestions over the coming weeks and would appreciate
comments.
Colin W.
Test Script:
if __name__ == '__main__':
a= mat([4, 5, 6])
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