Eric Bruning deeplycloudy

## Radar projection timing test.ipynb

      
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                deeplycloudy
                / Radar projection timing test.ipynb
            
            
              Created
              September 22, 2015 02:05
            
              
                Geodesic vs. map projection timing for radar data
              
          
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## Harvest Collaborators.scpt
-- This script is meant for use with BibDesk.
-- I wrote it to automate generation of a list of collaborators for the NSF biographical sketch.
-- You'll need to edit this list, but it automates the first step.
-- Usage: Highlight all of publications of interest
-- (e.g., search for your name in the search field and select all) and then run this script.

set thisYear to the year of (current date)

set namelist to {}
set yearlist to {}

## ipynb-highlights
In a code cell at the beginning of your notebook, enter:

%%html
<style type="text/css">
  span.ecb { background: yellow; }
</style>


Then in any other markdown cell you can put:

## gist:7009692
"""
This script uses yep (https://pypi.python.org/pypi/yep) and its dependency
gperftools (https://code.google.com/p/gperftools/) to profile rendering in
matplotlib's agg backend. Hopefully this hits the relevant drawing parts
within the profiler start/stop block. It is meant to try to figure out where
the time is spent doing a 100,000 point color-mapped scatterplot.

To build gperftools against my 32 bit Python on 64 bit Mac OS X, I had to:
./configure CFLAGS="-arch i386 -m32" CXXFLAGS="-arch i386 -m32" LDFLAGS="-arch
i386 -m32"

## audioplayer.py
""" Play an audio file with pyaudio while concurrently showing audio playhead
on a matplotlib plot of the audio time series and spectrogram.

Adjust duration and filename in the script below to reflect your audio file.

v. 0.1
21 Mar 2012
Eric Bruning
"""
	-- This script is meant for use with BibDesk.
	-- I wrote it to automate generation of a list of collaborators for the NSF biographical sketch.
	-- You'll need to edit this list, but it automates the first step.
	-- Usage: Highlight all of publications of interest
	-- (e.g., search for your name in the search field and select all) and then run this script.

	set thisYear to the year of (current date)

	set namelist to {}
	set yearlist to {}
	In a code cell at the beginning of your notebook, enter:

	%%html
	<style type="text/css">
	span.ecb { background: yellow; }
	</style>


	Then in any other markdown cell you can put:
	"""
	This script uses yep (https://pypi.python.org/pypi/yep) and its dependency
	gperftools (https://code.google.com/p/gperftools/) to profile rendering in
	matplotlib's agg backend. Hopefully this hits the relevant drawing parts
	within the profiler start/stop block. It is meant to try to figure out where
	the time is spent doing a 100,000 point color-mapped scatterplot.

	To build gperftools against my 32 bit Python on 64 bit Mac OS X, I had to:
	./configure CFLAGS="-arch i386 -m32" CXXFLAGS="-arch i386 -m32" LDFLAGS="-arch
	i386 -m32"
	""" Play an audio file with pyaudio while concurrently showing audio playhead
	on a matplotlib plot of the audio time series and spectrogram.

	Adjust duration and filename in the script below to reflect your audio file.

	v. 0.1
	21 Mar 2012
	Eric Bruning
	"""