[CentralOH] CentralOH Digest, Vol 109, Issue 1
Samuel
sriveravi at gmail.com
Mon May 2 08:14:25 EDT 2016
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.
On Sun, May 1, 2016 at 12:00 PM, <centraloh-request at python.org> wrote:
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> Today's Topics:
>
> 1. focus for numpy/scipy presentations (Neil Ludban)
> 2. 2016-04-29 ?? Scribbles ??/??? refactoring december meeting
> dates dunning-kruger 3n+1 fizzbuzz sh ls -l -1 Win10 wx
> venv/virtualenv v (ana|mini)conda pytest inittest scikit-learn
> (jep200404 at columbus.rr.com)
> 3. Re: focus for numpy/scipy presentations (Eric Floehr)
> 4. Re: focus for numpy/scipy presentations (Bim Walker)
>
>
> ----------------------------------------------------------------------
>
> Message: 1
> Date: Sat, 30 Apr 2016 18:27:41 -0400
> From: Neil Ludban <nludban at columbus.rr.com>
> To: "Mailing list for Central Ohio Python User Group (COhPy)"
> <centraloh at python.org>
> Subject: [CentralOH] focus for numpy/scipy presentations
> Message-ID: <20160430182741.2532ba807c2def625e3f9544 at columbus.rr.com>
> Content-Type: text/plain; charset=US-ASCII
>
> At the last cohpy meeting, several people wrote down numpy and/or scipy
> as desired topics for future presentations. These are very broad and
> easily turn into boring overviews of python for matlab people. Does
> anyone have requests for a presentation on a specific scipy module,
> digital signal processing topic, or even an idea for a project that you
> heard numpy/scipy would be good for but not sure how to get started?
>
>
> ------------------------------
>
> Message: 2
> Date: Sat, 30 Apr 2016 20:21:17 -0400
> From: jep200404 at columbus.rr.com
> To: centraloh at python.org
> Subject: [CentralOH] 2016-04-29 ?? Scribbles ??/??? refactoring
> december meeting dates dunning-kruger 3n+1 fizzbuzz sh ls -l -1
> Win10
> wx venv/virtualenv v (ana|mini)conda pytest inittest scikit-learn
> Message-ID: <20160430202117.2f4f5b2b.jep200404 at columbus.rr.com>
> Content-Type: text/plain; charset=UTF-8
>
> Explore http://colug.net/python/dojo/20160429/.
>
> http://nbviewer.jupyter.org/url/colug.net/python/dojo/20160429/dojo-20160429-2016-Mar-COhPy_Challenge_Rough.ipynb
> What more would you change for that in little function?
> Played with refactoring a function from one of the previous challenges.
> It was much fun.
>
> unskilled people are not as skilled as they think
>
> wp:Dunning?Kruger effect
>
> dumb people are dumber than they think
> smart people are smarter than they think
>
> wp: prefix means Wikipedia
> To get good answers, consider following the advice in the links below.
> http://catb.org/~esr/faqs/smart-questions.html
>
> http://web.archive.org/web/20090627155454/www.greenend.org.uk/rjk/2000/06/14/quoting.html
>
> colug.net/python/dojo/20160415/
>
> ls -l
> ls -1
>
> dojo at 4519_n_high:~/sh$ virtualenv env
> New python executable in env/bin/python
> Installing setuptools, pip...done.
> dojo at 4519_n_high:~/sh$ source env/bin/activate
> (env)dojo at 4519_n_high:~/sh$ pip install sh
> Downloading/unpacking sh
> Downloading sh-1.11.tar.gz
> Running setup.py (path:/home/dojo/sh/env/build/sh/setup.py) egg_info
> for package sh
>
> Installing collected packages: sh
> Running setup.py install for sh
>
> Successfully installed sh
> Cleaning up...
> (env)dojo at 4519_n_high:~/sh$ python2
> Python 2.7.6 (default, Jun 22 2015, 18:00:18)
> [GCC 4.8.2] on linux2
> Type "help", "copyright", "credits" or "license" for more information.
> >>> import sh
> >>> sh.ls('-l')
> total 4
> drwxrwxr-x 6 dojo dojo 4096 Apr 24 22:04 env
>
> >>> sh.ls('-1')
> env
>
> >>>
> (env)dojo at 4519_n_high:~/sh$
>
> Microsoft's Windows 10 nagware storms live TV weather forecast
> http://www.theregister.co.uk/2016/04/28/windows_10_live_tv/
>
> venv is preferred for Python3
> virtualenv is preferred for Python2
>
> (ana|mini)conda versus virutalenv/venv
>
> from __future__ import print_function
>
> use pytest instead of unittest
> friends don't let friends use unittest
>
> scikit-learn
>
> Oxford, serial, and Harvard commas
> Stunk & White's Elements of Style
> Kernighan & Plauger's The Elements of Programming Style
>
> Copy README.md
> from https://github.com/cohpy/challenge-201604-words/raw/master/README.md
> paste it into ipynb cell.
> Make that cell a markdown cell.
>
>
> ------------------------------
>
> Message: 3
> Date: Sun, 1 May 2016 11:02:20 -0400
> From: Eric Floehr <eric at intellovations.com>
> To: "Mailing list for Central Ohio Python User Group (COhPy)"
> <centraloh at python.org>
> Subject: Re: [CentralOH] focus for numpy/scipy presentations
> Message-ID:
> <CAJzarMNdTzA1JK72=
> QTtSn6O4BgtHguBVyqwjjmh48KDtsW9jw at mail.gmail.com>
> Content-Type: text/plain; charset="utf-8"
>
> Neil,
>
> 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.
>
> 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.
>
> Don't know if any of that is possible, but that's my thoughts :-).
>
> Thanks!
> Eric
>
>
>
> On Sat, Apr 30, 2016 at 6:27 PM, Neil Ludban <nludban at columbus.rr.com>
> wrote:
>
> > At the last cohpy meeting, several people wrote down numpy and/or scipy
> > as desired topics for future presentations. These are very broad and
> > easily turn into boring overviews of python for matlab people. Does
> > anyone have requests for a presentation on a specific scipy module,
> > digital signal processing topic, or even an idea for a project that you
> > heard numpy/scipy would be good for but not sure how to get started?
> > _______________________________________________
> > CentralOH mailing list
> > CentralOH at python.org
> > https://mail.python.org/mailman/listinfo/centraloh
> >
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> ------------------------------
>
> Message: 4
> Date: Sun, 1 May 2016 11:15:21 -0400
> From: Bim Walker <bim at digitalbim.com>
> To: "Mailing list for Central Ohio Python User Group (COhPy)"
> <centraloh at python.org>
> Subject: Re: [CentralOH] focus for numpy/scipy presentations
> Message-ID: <641CA95F-10A3-4478-A7AC-60E9BCBC7DE6 at digitalbim.com>
> Content-Type: text/plain; charset="us-ascii"
>
>
> Following up on what Eric said, I would also be interested in calling
> machine-learning frameworks from scipy, specifically things like Caffe.
>
>
> Bim
>
>
> On May 1, 2016, at 11:02 AM, Eric Floehr <eric at intellovations.com> wrote:
>
> > Neil,
> >
> > 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.
> >
> > 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.
> >
> > Don't know if any of that is possible, but that's my thoughts :-).
> >
> > Thanks!
> > Eric
> >
> >
> >
> > On Sat, Apr 30, 2016 at 6:27 PM, Neil Ludban <nludban at columbus.rr.com>
> wrote:
> > At the last cohpy meeting, several people wrote down numpy and/or scipy
> > as desired topics for future presentations. These are very broad and
> > easily turn into boring overviews of python for matlab people. Does
> > anyone have requests for a presentation on a specific scipy module,
> > digital signal processing topic, or even an idea for a project that you
> > heard numpy/scipy would be good for but not sure how to get started?
> > _______________________________________________
> > CentralOH mailing list
> > CentralOH at python.org
> > https://mail.python.org/mailman/listinfo/centraloh
> >
> > _______________________________________________
> > CentralOH mailing list
> > CentralOH at python.org
> > https://mail.python.org/mailman/listinfo/centraloh
>
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>
> End of CentralOH Digest, Vol 109, Issue 1
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