Hi all,
Someone asked me about optimisation systems in python in the pub
afterwards. The library I couldn't remember at the time is open opt [0].
And to add to this huge pile of maths/science power there's also the
various scipy extensions in scikits [1].
I think a follow up meeting or two would be good, hopefully I'll even
manage to be on time for them.
Ed
[0] http://openopt.org/Welcome
[1] http://scikits.appspot.com/scikits
On 22/06/2012 10:47, Ben Nuttall wrote:
Thanks Safe. Shame you couldn't make it last night.
We had an interesting session where we covered a few basics of the numpy
and matplotlib libraries - and we all managed to successfully plot sine
waves. A few of us then played with other things - I managed to plot a
bifurcation diagram of the activation level of a neuron (but not explain
it) by copying some Matlab code I had previously written, and Dave
played with inverse Fourier transforms with Robie. Dave also
demonstrated Sage with an example of processing done on the server and
delivered to a plot in the browser, with interactive value sliders.
Impressive stuff!
One thing we all noticed was how well these libraries were documented.
Much better than Matlab, and just as good as Python. Also, how easy they
are to install on Linux.
I think we all found it really pleasant being able to do such powerful
computing in simple Python syntax. It makes scientific code readable!
We didn't really cover any advanced stuff, we mostly started from
scratch. Would people like to revisit this another time? I think I could
get some cool stuff done at home now I've got started with it, and have
some interesting things to demonstrate next month or in future. Maybe
next month, or another time, could be used as a round table to this
effect? What do people think?
Oh and one other thing - I'm going to give this a try on my Raspberry
Pi, it'll be interesting to see how it performs. Cost of Pi + NumPy ~=
£30. Cost of PC + Matlab = ???
Speaking of the Raspberry Pi - I ran an event (Manchester Raspberry Jam)
at the Madlab a couple of weeks ago. There'll be another one next month.
If any of you have a Pi, or are interesting in seeing them in action -
do come along! I'll post a link to the list when the date's set.
http://numpy.scipy.org/
http://scipy.org/
http://matplotlib.sourceforge.net/
http://www.sagemath.org/
Ben
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