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Requesting Scipy Module#25

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kenceanderson wants to merge 2 commits intoSyncano:masterfrom
kenceanderson:master
Closed

Requesting Scipy Module#25
kenceanderson wants to merge 2 commits intoSyncano:masterfrom
kenceanderson:master

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@kenceanderson
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Added SciPy Module to requirements.txt

Kence Anderson added 2 commits January 6, 2016 10:01
Adding request for scipy module to be added.
@kotchaosu
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Hi, thanks for PR. Sadly, codebox build fails after your update (numpy.distutils.system_info.NotFoundError: no lapack/blas resources found). Please test it before starting discussion.

@kotchaosu
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@kenceanderson I'll discuss with my team possibility of installing SciPy in codebox next week.

@kenceanderson
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Thank you.

My apologies for not knowing this and brining this up.

After doing some research, I believe that this Stack Overflow thread
explains the issue:
http://stackoverflow.com/questions/7496547/does-python-scipy-need-blas.
Because I do not know the specifications of your servers, I cannot
recommend which of the solution implementations is the most appropriate.

regards,
Kence Anderson

On Thu, Jan 7, 2016 at 6:34 AM, Zhe Brah [email protected] wrote:

@kenceanderson https://github.com/kenceanderson I'll discuss with my
team possibility of installing SciPy in codebox next week.


Reply to this email directly or view it on GitHub
#25 (comment)
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@kotchaosu
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@kenceanderson no worries and good news - we're installing numpy and scipy this week.

@kotchaosu kotchaosu closed this Jan 11, 2016
@kenceanderson
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Hello,

I just wanted to check and see if there is still a plan to install Scipy
and Numpy this week. I checked and don't believe that it was installed
last week.

regards,
Kence Anderson

On Mon, Jan 11, 2016 at 3:55 AM, Zhe Brah [email protected] wrote:

@kenceanderson https://github.com/kenceanderson no worries and good
news - we're installing numpy and scipy this week.


Reply to this email directly or view it on GitHub
#25 (comment)
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@MariuszWisniewski
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Hey Kence,

We added both on Jan 13th. I just tried some code from this tutorial and it seems to work fine:

import numpy as np
from scipy.spatial.distance import pdist, squareform

a = np.array([[1,2,3,4], [5,6,7,8], [9,10,11,12]])
b = a[:2, 1:3]

print "{a} \n --- \n {b}".format(a=a, b=b)

x = np.array([[0, 1], [1, 0], [2, 0]])
d = squareform(pdist(x, 'euclidean'))
print d

Do these two modules not work properly for you?

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3 participants