deeplycloudy

deeplycloudy

-- 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 {}

deeplycloudy

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:

deeplycloudy

"""
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"

deeplycloudy

""" 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
"""