[Numpy-discussion] [IPython-dev] Testing matplotlib on IPython trunk
Tue Sep 22 00:43:26 CDT 2009
Thanks Fernando for the quick response.
Today this is the 3rd time I am hitting an unsupported feature in the Python
1-) No attribute docstrings
2-) Look this question:
and 3rd is this.
However I think I influenced to guys in our campus to take a look Python.
One using Matlab-Simulink and C on collision-detection system design, the
latter uses C to design a small scale embedded acquisition system for UAV
platforms. He uses an ARM Cortex A8 processor powered Gumstix
Xubuntu 9.04 runs on it. I saw Python 2.6.2 installed, however not sure how
easy would that be to bring rest of the scipy stack into that machine.
Besides, tomorrow there is going to be a Matlab seminar here
It is about a SciPy advanced tutorial long.
Many similar subjects I see there:
*Speeding Up MATLAB Applications:Tips and Tricks for Writing Efficient Code
• Understanding preallocation and vectorization
• Addressing bottlenecks
• Efficient indexing and manipulations
*Brief Introduction to Parallel Computing with MATLAB
*• Task parallel applications for faster processing
• Data parallel applications for handling large data sets
• Scheduling your programs to run
I hope I will not kick out from the session by keep commenting oh that is
possible in Python, oh this is too :)
On Tue, Sep 22, 2009 at 12:18 AM, Fernando Perez <firstname.lastname@example.org>wrote:
> 2009/9/21 Gökhan Sever <email@example.com>:
> > It's a very late reply but I am wondering how to make these appear in the
> Ipy dev loaded into the session but not visible to a whos listing?
> I don't think that's supported quite right now. IPython does one
> special thing to support a clean %whos listing: right before opening
> up the user mainloop, it checks all keys in the user namespace, and
> later on when %whos is run, those variables that were initially
> present are not displayed. So for now if you do this interactively,
> you will unfortunately pollute %whos.
> This is one thing we'll need to make sure works nicely again when the
> dust settles.
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