July meeting -- Scipy theme

[Ravi]

Hi Peter

   We are working on a book on scientific image acquisition and processing using Python. We are using scipy, numpy and scikits extensively.  Along the way, we learnt a few things about these tools.  I would like to present the issues and some solutions as well.  

 

Ravi

[Kevin Hanson]

Ravi--great! That sounds like a great topic; I can't wait to see what you've done. Mind if we put you up first?

I talked to some folks at last nights meeting, so here's what I have for presenters so far:

1. Image Processing using Scipy, Numpy and Scikits - Ravi
2. Pandas - Brian
3. Interfacing with other languages (R, SAS, Octave, etc) - Kevin
4. ???
5. ???

I know there were a few others that were tentative--let us know if you'll be able to present.

Other potential topics include but are not limited to: IPython (& Notebooks), matplotlib/other visualization libraries, HDF5, Numba, or data lunging/crunching in general.

Looking forward to July's meeting already!

- Kevin

[Christopher Felton]

I can tentatively volunteer to talk on signal processing
simulation performance with pypy.  I might have a conflict
(assume the July meeting is on the 11th?) on the second
Thursday.

Regards,

Chris

[Peter J. Farrell]

Sounds great Chris -- we'll put you down as tentative for now.  Let us know if you can do it.

1. Image Processing using Scipy, Numpy and Scikits - Ravi
2. Pandas - Brian
3. Interfacing with other languages (R, SAS, Octave, etc) - Kevin

4. Signal Processing Simulation Performance with PyPy - Chris Felton (tentative)
5. ???



Christopher Felton said the following on 05/10/2013 04:46 PM:

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[Christopher Felton]

I assume we use Scipy as short-hand for Scientific Python
and not necessarily the scipy package, correct?  Just a small 

point of clarification for others that it is not limited to specfically
scipy package content (e.g. someone mentioned numba, any
takers?). 

.chris

[Peter J. Farrell]

Christopher Felton said the following on 05/13/2013 02:42 PM:

> I assume we use Scipy as short-hand for Scientific Python
> and not necessarily the scipy package, correct? Just a small
> point of clarification for others that it is not limited to specfically
> scipy package content (e.g. someone mentioned numba, any
> takers?).

Yes, I believe Kevin and I talked about July as Scientific Python.
Thanks for the clarification Chris.

[David Fawcett]

I would like to present on using python for geospatial work.  Most likely spatial operations on vector features.

David.

[Peter J. Farrell]

David Fawcett said the following on 05/13/2013 03:26 PM:

> I would like to present on using python for geospatial work. Most
> likely spatial operations on vector features.
>
> David.

Sounds like a great preso David!

1. Image Processing using Scipy, Numpy and Scikits - Ravi
2. Pandas - Brian
3. Interfacing with other languages (R, SAS, Octave, etc) - Kevin
4. Signal Processing Simulation Performance with PyPy - Chris Felton
(tentative)

5. Python for Geospatial Work - David Fawcett

Maybe one more in case Chris can't make the meeting?

[Jason Furtney]

Thanks for the great meeting yesterday!

If you are still open for another talk at the July meeting I would be
happy to demo the IPython Notebook, Matplotlib and FiPy.

IPython Notebook, shown at the last meeting, is a browser based
interactive Python shell similar to the Mathematica notebook.

Matplotlib is a 2D plotting library that is built on top of NumPy and
provides MATLAB-like plotting.

FiPy is a Python based Finite Volume PDE solver.

Thanks,
Jason

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[Peter J. Farrell]

Jason Furtney said the following on 06/14/2013 04:10 PM:

> Thanks for the great meeting yesterday!

Pleasure to have everybody there!

> If you are still open for another talk at the July meeting I would be
> happy to demo the IPython Notebook, Matplotlib and FiPy.

Yes, Yes, Yes... seems to be a good fit! Looks like July's meeting is
full for presentations. @Chris, let us know your tentativeness.

The order below is in no particular order. Crowd-source ideas on a the
best order (if any). Please advise thoughts.

1. Image Processing using Scipy, Numpy and Scikits - Ravi
2. Pandas - Brian
3. Interfacing with other languages (R, SAS, Octave, etc) - Kevin
4. Signal Processing Simulation Performance with PyPy - Chris Felton
(tentative)
5. Python for Geospatial Work - David Fawcett

6. IPython Notebook, Matplotlib, Fipy - Jason Furtney

[Christopher Felton]

> If you are still open for another talk at the July meeting I would be
> happy to demo the IPython Notebook, Matplotlib and FiPy.
Yes, Yes, Yes... seems to be a good fit!  Looks like July's meeting is
full for presentations. @Chris, let us know your tentativeness.

@Peter I am a go, I will be able to make the July meeting
and give the talk.

Regards,

Chris

 

[Peter J. Farrell]

Christopher Felton said the following on 06/14/2013 04:59 PM:

> @Peter I am a go, I will be able to make the July meeting
> and give the talk.

Fab!

[fellmad]

this was kind of interesting.

decorators at the last meeting and sci stuff at the next.

http://jakevdp.github.io/blog/2013/06/15/numba-vs-cython-take-2/

"And though I've seen similar things for months, I'm still incredibly impressed by the results enabled by Numba: a single function decorator results in a 1300x speedup of simple Python code. I'm becoming more and more convinced that Numba is the future of fast scientific computing in Python."

-dwight

[Dick]

That's REALLY interesting.

[Christopher Felton]

Peter,

Small update, instead of focusing on signal processing 
with pypy, going to make the talk more general:

   "scipy with pypy"

In this case scipy means the general topic of
scientific/numeric computing  and not the library.

Regards,
Chris

[Peter Farrell]

Sounds like a good plan.

[Peter J. Farrell]

Brian had to cancel his Pandas talk due to a work trip. However, we have
a great and full line for July!

1. Image Processing using Scipy, Numpy and Scikits - Ravi

2. Interfacing with other languages (R, SAS, Octave, etc) - Kevin
3. SciPy with PyPy - Chris Felton
4. Python for Geospatial Work - David Fawcett
5. IPython Notebook, Matplotlib, Fipy - Jason Furtney

Anybody have a preference or good idea for order? It's completely
random right now.

[Jason Furtney]

Hi,

Have we established an order for these? I would be happy to go first,
I can simplify my lightening talk to be more of an introduction to
NumPy and plotting in the IPython notebook. I am OK either way.

Thanks,
Jason

[Peter J. Farrell]

Jason, no set order. Your idea sounds like a good one. Let's do it!

Jason Furtney said the following on 07/10/2013 08:52 AM:

[Christopher Felton]

On Friday, June 21, 2013 10:58:41 AM UTC-5, Christopher Felton wrote:

Peter,

Small update, instead of focusing on signal processing 
with pypy, going to make the talk more general:

   "scipy with pypy"

In this case scipy means the general topic of
scientific/numeric computing  and not the library.

If anyone is interested, I made my presentation from July 
available here:

https://speakerdeck.com/cfelton/python-scientific-and-numerical-computing-fast-with-pypy

I added one slide :)

Regards,
Chris