I am current using Matplotlib in several projects, including a project of
autonomous rough terrain vehicles, a project predicting California coastal
winds, and a project that organizes earth science data from several NASA
satellites. Matplotlib is very flexible and versatile, and has a well
designed foundation. It is the best graphics package I have used in my 20
years of research career. John Hunter and his army of volunteers did an
excellent job developing Matplotlib in such a short time. But the software
needs to be developed further to expand the capabilities. Money invested on
developing Matplotlib will be well spent, and eventually will save the
funding agencies because the scientists will not have to buy the expensive
commercial softwares like Matlab and IDL.
I have heard several very positive comments on Matplotlib from our JPL Python
On Wednesday 18 May 2005 10:44 am, John Hunter wrote:
If you are using python for high performance or scientific computing,
could I ask you to send me a blurb (one or two sentences) on what you
are using it for and if you have any publications or references
related to this work (the refs don't have to be specifically about the
python stuff) please include them (extra points for bibtex).
I am writing some grant text justifying python in scientific computing
and would like to have a range of examples across disciplines to
If I could get these today or tomorrow that would be very helpful!
Please send these to me off list.
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Matplotlib-users mailing list
Benyang Tang, Ph.D.
tel: (818)354-0327, email: benyang.tang _at_ jpl.nasa.gov
Machine Learning Systems Group ---- http://ml.jpl.nasa.gov
M/S 126-347, Jet Propulsion Laboratory
4800 Oak Grove Drive, Pasadena, CA 91109, USA