[SciPy-user] Matlab and Python
Zhiwen Chong
zhiwen.chong at elf.mcgill.ca
Wed Jul 13 11:39:39 CDT 2005
On 13-Jul-05, at 8:45 AM, Howey, David A wrote:
> 1) can matrices/vectors be handled in the same way (this is the
> power of matlab of course). eg. the matlab 'dot' notation which
> operates element by element on matrices. using vectors greatly
> speeds up code over for loops and makes it more compact.
The situation is the reverse in SciPy. A multiplication of two SciPy
array objects defaults to an element-by-element multiplication (dot
notation in MATLAB, .*, ./ etc.). If you want to do linear algebra in
SciPy, you have to explicitly specify a Matrix object.
In [1]: from SciPy import mat
numerix Numeric 24.0b2
In [2]: a = mat('[1 2; 3 4]')
In [3]: a
Matrix([[1, 2],
[3, 4]])
In [4]: a.T
Matrix([[1, 3],
[2, 4]])
> 2) matlab has extremely powerful plotting facilities
I haven't been able to do any plotting with SciPy or Python yet
because of an installation problem on my Mac OS X machine. And I
admit, MATLAB does have a very usable plotting system.
> 3) object orientation. Actually I think python might excel here. I
> get a bit frustrated with matlab objects (no passing by reference,
> for example).
IMHO, MATLAB's object-oriented features are actually a bit of a hack
compared to Python's.
Python passes lists, dicts, objects by reference, so if one wants to
pass a copy, one actually has to explicitly do a copy/slice.
But interestingly, there are many nuances:
http://tinyurl.com/78mf8
> 4) creation of executables/binaries-- should be okay
On the Win32 platform there is py2exe, and Python is standard on many
Unices including Mac OS X.
I've know a MATLAB compiler exists, but I haven't used it.
Zhiwen
--
"If the women don't find you handsome, they should at least find you
handy." - Red Green
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