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Sounds like matplotlib and the scikit stuff top the list. About the comparison to the Raspberry Pi: both are embedded Linux boards, but the idea of the Rascal is to be preconfigured for making Python-backed web interfaces for Arduino-style hardware. My understanding is that the Raspberry Pi is a general-purpose board broadly intended to be a cheap platform for learning programming. Thanks for all the suggestions. The scientific Python ecosystem repeatedly surprises me with how fast it improves. Further suggestions and/or requests can be sent to me off-list at my first name @ rascalmicro.com. Cheers, Brandon On Sun, Jun 24, 2012 at 11:42 PM, David Baddeley <david_baddeley@yahoo.com.au> wrote:
Sounds like an awesome platform!
another emphatic vote for matplotlib
and in no particular order: PIL pyfftw pytables django (and possibly associated modules like django-south) pyro (I use this for both control of remote devices, and as the basis of a distributed analysis backend) mysql pyserial (not sure how relevant this is on your platform)
(Some of these have a bit of a web app type slant, but figure that this might be where you're looking to go anyway - I've got a neat temperature monitoring app which produces temperature history graphs with a web interface using numpy, scipy, matplotlib, django and an SQL database on a server. This is linked via pyro to a second computer which runs some custom driver code for an obscure ADC board that monitors the temperature sensors. )
________________________________ From: Ralf Gommers <ralf.gommers@googlemail.com> To: SciPy Users List <scipy-user@scipy.org> Sent: Sunday, 24 June 2012 11:38 PM Subject: Re: [SciPy-User] Useful libraries beyond numpy and scipy?
On Sat, Jun 23, 2012 at 3:40 AM, Brandon Stafford <brandon@rascalmicro.com> wrote:
Hi all,
I've been working on a small board for scientists (and artists) that runs Python. The idea is to make something like an Arduino, but beefed up to handle real web traffic. Some background on the board at http://www.engadget.com/2012/06/13/rascal-micro-hands-on-video/ and more at http://rascalmicro.com
Looks awesome, thanks for sharing.
I'm shipping boards with scipy and numpy preinstalled, and I'm wondering what other libraries complement those two well. I'm aware of (and actually have a library of my own listed on) the list at http://www.scipy.org/Topical_Software but it's hard to tell what's both mature and widely used.
What are the top 3 or 4 libraries you use, either for control during experiments or for data analysis?
For data analysis scikit-image, statsmodels and scikit-learn would be high on my list. Plus matplotlib, to not have to learn jQplot.
Ralf
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-- Brandon Stafford Rascal Micro: small computers for art and science Somerville, MA, USA