<div dir="ltr"><div>Regarding the numpy/scipy and the machine learning/image classification topic, have you heard of OpenCV? It has a ton of libraries and functions for doing machine learning things and image thing. I think that's a good starting point. Many of the popular feature detection and segmentation algorithms are already there. Images are essentially a numpy array.</div><div><br></div><div><br></div><div><br></div><br><div class="gmail_extra"><br><div class="gmail_quote">On Sun, May 1, 2016 at 12:00 PM, <span dir="ltr"><<a href="mailto:centraloh-request@python.org" target="_blank">centraloh-request@python.org</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">Send CentralOH mailing list submissions to<br>
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Today's Topics:<br>
<br>
1. focus for numpy/scipy presentations (Neil Ludban)<br>
2. 2016-04-29 ?? Scribbles ??/??? refactoring december meeting<br>
dates dunning-kruger 3n+1 fizzbuzz sh ls -l -1 Win10 wx<br>
venv/virtualenv v (ana|mini)conda pytest inittest scikit-learn<br>
(<a href="mailto:jep200404@columbus.rr.com">jep200404@columbus.rr.com</a>)<br>
3. Re: focus for numpy/scipy presentations (Eric Floehr)<br>
4. Re: focus for numpy/scipy presentations (Bim Walker)<br>
<br>
<br>
----------------------------------------------------------------------<br>
<br>
Message: 1<br>
Date: Sat, 30 Apr 2016 18:27:41 -0400<br>
From: Neil Ludban <<a href="mailto:nludban@columbus.rr.com">nludban@columbus.rr.com</a>><br>
To: "Mailing list for Central Ohio Python User Group (COhPy)"<br>
<<a href="mailto:centraloh@python.org">centraloh@python.org</a>><br>
Subject: [CentralOH] focus for numpy/scipy presentations<br>
Message-ID: <<a href="mailto:20160430182741.2532ba807c2def625e3f9544@columbus.rr.com">20160430182741.2532ba807c2def625e3f9544@columbus.rr.com</a>><br>
Content-Type: text/plain; charset=US-ASCII<br>
<br>
At the last cohpy meeting, several people wrote down numpy and/or scipy<br>
as desired topics for future presentations. These are very broad and<br>
easily turn into boring overviews of python for matlab people. Does<br>
anyone have requests for a presentation on a specific scipy module,<br>
digital signal processing topic, or even an idea for a project that you<br>
heard numpy/scipy would be good for but not sure how to get started?<br>
<br>
<br>
------------------------------<br>
<br>
Message: 2<br>
Date: Sat, 30 Apr 2016 20:21:17 -0400<br>
From: <a href="mailto:jep200404@columbus.rr.com">jep200404@columbus.rr.com</a><br>
To: <a href="mailto:centraloh@python.org">centraloh@python.org</a><br>
Subject: [CentralOH] 2016-04-29 ?? Scribbles ??/??? refactoring<br>
december meeting dates dunning-kruger 3n+1 fizzbuzz sh ls -l -1 Win10<br>
wx venv/virtualenv v (ana|mini)conda pytest inittest scikit-learn<br>
Message-ID: <<a href="mailto:20160430202117.2f4f5b2b.jep200404@columbus.rr.com">20160430202117.2f4f5b2b.jep200404@columbus.rr.com</a>><br>
Content-Type: text/plain; charset=UTF-8<br>
<br>
Explore <a href="http://colug.net/python/dojo/20160429/" rel="noreferrer" target="_blank">http://colug.net/python/dojo/20160429/</a>.<br>
<a href="http://nbviewer.jupyter.org/url/colug.net/python/dojo/20160429/dojo-20160429-2016-Mar-COhPy_Challenge_Rough.ipynb" rel="noreferrer" target="_blank">http://nbviewer.jupyter.org/url/colug.net/python/dojo/20160429/dojo-20160429-2016-Mar-COhPy_Challenge_Rough.ipynb</a><br>
What more would you change for that in little function?<br>
Played with refactoring a function from one of the previous challenges.<br>
It was much fun.<br>
<br>
unskilled people are not as skilled as they think<br>
<br>
wp:Dunning?Kruger effect<br>
<br>
dumb people are dumber than they think<br>
smart people are smarter than they think<br>
<br>
wp: prefix means Wikipedia<br>
To get good answers, consider following the advice in the links below.<br>
<a href="http://catb.org/~esr/faqs/smart-questions.html" rel="noreferrer" target="_blank">http://catb.org/~esr/faqs/smart-questions.html</a><br>
<a href="http://web.archive.org/web/20090627155454/www.greenend.org.uk/rjk/2000/06/14/quoting.html" rel="noreferrer" target="_blank">http://web.archive.org/web/20090627155454/www.greenend.org.uk/rjk/2000/06/14/quoting.html</a><br>
<br>
<a href="http://colug.net/python/dojo/20160415/" rel="noreferrer" target="_blank">colug.net/python/dojo/20160415/</a><br>
<br>
ls -l<br>
ls -1<br>
<br>
dojo@4519_n_high:~/sh$ virtualenv env<br>
New python executable in env/bin/python<br>
Installing setuptools, pip...done.<br>
dojo@4519_n_high:~/sh$ source env/bin/activate<br>
(env)dojo@4519_n_high:~/sh$ pip install sh<br>
Downloading/unpacking sh<br>
Downloading sh-1.11.tar.gz<br>
Running setup.py (path:/home/dojo/sh/env/build/sh/setup.py) egg_info for package sh<br>
<br>
Installing collected packages: sh<br>
Running setup.py install for sh<br>
<br>
Successfully installed sh<br>
Cleaning up...<br>
(env)dojo@4519_n_high:~/sh$ python2<br>
Python 2.7.6 (default, Jun 22 2015, 18:00:18)<br>
[GCC 4.8.2] on linux2<br>
Type "help", "copyright", "credits" or "license" for more information.<br>
>>> import sh<br>
>>> <a href="http://sh.ls" rel="noreferrer" target="_blank">sh.ls</a>('-l')<br>
total 4<br>
drwxrwxr-x 6 dojo dojo 4096 Apr 24 22:04 env<br>
<br>
>>> <a href="http://sh.ls" rel="noreferrer" target="_blank">sh.ls</a>('-1')<br>
env<br>
<br>
>>><br>
(env)dojo@4519_n_high:~/sh$<br>
<br>
Microsoft's Windows 10 nagware storms live TV weather forecast<br>
<a href="http://www.theregister.co.uk/2016/04/28/windows_10_live_tv/" rel="noreferrer" target="_blank">http://www.theregister.co.uk/2016/04/28/windows_10_live_tv/</a><br>
<br>
venv is preferred for Python3<br>
virtualenv is preferred for Python2<br>
<br>
(ana|mini)conda versus virutalenv/venv<br>
<br>
from __future__ import print_function<br>
<br>
use pytest instead of unittest<br>
friends don't let friends use unittest<br>
<br>
scikit-learn<br>
<br>
Oxford, serial, and Harvard commas<br>
Stunk & White's Elements of Style<br>
Kernighan & Plauger's The Elements of Programming Style<br>
<br>
Copy README.md<br>
from <a href="https://github.com/cohpy/challenge-201604-words/raw/master/README.md" rel="noreferrer" target="_blank">https://github.com/cohpy/challenge-201604-words/raw/master/README.md</a><br>
paste it into ipynb cell.<br>
Make that cell a markdown cell.<br>
<br>
<br>
------------------------------<br>
<br>
Message: 3<br>
Date: Sun, 1 May 2016 11:02:20 -0400<br>
From: Eric Floehr <<a href="mailto:eric@intellovations.com">eric@intellovations.com</a>><br>
To: "Mailing list for Central Ohio Python User Group (COhPy)"<br>
<<a href="mailto:centraloh@python.org">centraloh@python.org</a>><br>
Subject: Re: [CentralOH] focus for numpy/scipy presentations<br>
Message-ID:<br>
<CAJzarMNdTzA1JK72=<a href="mailto:QTtSn6O4BgtHguBVyqwjjmh48KDtsW9jw@mail.gmail.com">QTtSn6O4BgtHguBVyqwjjmh48KDtsW9jw@mail.gmail.com</a>><br>
Content-Type: text/plain; charset="utf-8"<br>
<br>
Neil,<br>
<br>
I am interested in numpy and scipy for image manipulation and analysis and<br>
would be interested in getting started with feature detection and image<br>
classification.<br>
<br>
Specifically for my timelapse project, I would like to identify features<br>
like birds, the moon, airplane lights, and of course clouds. I would also<br>
be interested in grouping sky images into groups automatically. You know<br>
that there is blue sky and completely overcast, but there are probably<br>
certain other types of sky and cloud cover that naturally group together<br>
and it would be neat to be able to identify those clusters.<br>
<br>
Don't know if any of that is possible, but that's my thoughts :-).<br>
<br>
Thanks!<br>
Eric<br>
<br>
<br>
<br>
On Sat, Apr 30, 2016 at 6:27 PM, Neil Ludban <<a href="mailto:nludban@columbus.rr.com">nludban@columbus.rr.com</a>><br>
wrote:<br>
<br>
> At the last cohpy meeting, several people wrote down numpy and/or scipy<br>
> as desired topics for future presentations. These are very broad and<br>
> easily turn into boring overviews of python for matlab people. Does<br>
> anyone have requests for a presentation on a specific scipy module,<br>
> digital signal processing topic, or even an idea for a project that you<br>
> heard numpy/scipy would be good for but not sure how to get started?<br>
> _______________________________________________<br>
> CentralOH mailing list<br>
> <a href="mailto:CentralOH@python.org">CentralOH@python.org</a><br>
> <a href="https://mail.python.org/mailman/listinfo/centraloh" rel="noreferrer" target="_blank">https://mail.python.org/mailman/listinfo/centraloh</a><br>
><br>
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------------------------------<br>
<br>
Message: 4<br>
Date: Sun, 1 May 2016 11:15:21 -0400<br>
From: Bim Walker <<a href="mailto:bim@digitalbim.com">bim@digitalbim.com</a>><br>
To: "Mailing list for Central Ohio Python User Group (COhPy)"<br>
<<a href="mailto:centraloh@python.org">centraloh@python.org</a>><br>
Subject: Re: [CentralOH] focus for numpy/scipy presentations<br>
Message-ID: <<a href="mailto:641CA95F-10A3-4478-A7AC-60E9BCBC7DE6@digitalbim.com">641CA95F-10A3-4478-A7AC-60E9BCBC7DE6@digitalbim.com</a>><br>
Content-Type: text/plain; charset="us-ascii"<br>
<br>
<br>
Following up on what Eric said, I would also be interested in calling machine-learning frameworks from scipy, specifically things like Caffe.<br>
<br>
<br>
Bim<br>
<br>
<br>
On May 1, 2016, at 11:02 AM, Eric Floehr <<a href="mailto:eric@intellovations.com">eric@intellovations.com</a>> wrote:<br>
<br>
> Neil,<br>
><br>
> I am interested in numpy and scipy for image manipulation and analysis and would be interested in getting started with feature detection and image classification.<br>
><br>
> Specifically for my timelapse project, I would like to identify features like birds, the moon, airplane lights, and of course clouds. I would also be interested in grouping sky images into groups automatically. You know that there is blue sky and completely overcast, but there are probably certain other types of sky and cloud cover that naturally group together and it would be neat to be able to identify those clusters.<br>
><br>
> Don't know if any of that is possible, but that's my thoughts :-).<br>
><br>
> Thanks!<br>
> Eric<br>
><br>
><br>
><br>
> On Sat, Apr 30, 2016 at 6:27 PM, Neil Ludban <<a href="mailto:nludban@columbus.rr.com">nludban@columbus.rr.com</a>> wrote:<br>
> At the last cohpy meeting, several people wrote down numpy and/or scipy<br>
> as desired topics for future presentations. These are very broad and<br>
> easily turn into boring overviews of python for matlab people. Does<br>
> anyone have requests for a presentation on a specific scipy module,<br>
> digital signal processing topic, or even an idea for a project that you<br>
> heard numpy/scipy would be good for but not sure how to get started?<br>
> _______________________________________________<br>
> CentralOH mailing list<br>
> <a href="mailto:CentralOH@python.org">CentralOH@python.org</a><br>
> <a href="https://mail.python.org/mailman/listinfo/centraloh" rel="noreferrer" target="_blank">https://mail.python.org/mailman/listinfo/centraloh</a><br>
><br>
> _______________________________________________<br>
> CentralOH mailing list<br>
> <a href="mailto:CentralOH@python.org">CentralOH@python.org</a><br>
> <a href="https://mail.python.org/mailman/listinfo/centraloh" rel="noreferrer" target="_blank">https://mail.python.org/mailman/listinfo/centraloh</a><br>
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End of CentralOH Digest, Vol 109, Issue 1<br>
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</blockquote></div><br></div></div>