[Numpy-discussion] Matlab is a tool for doing numerical computations with matrices and vectors.
Colin J. Williams
cjw at sympatico.ca
Thu Mar 10 17:54:20 EST 2005
Travis Oliphant wrote:
>>> I remember his work. I really liked many of his suggestions, though
>>> it took him a while to recognize that a Matrix class has been
>>> distributed with Numeric from very early on.
>> numpy.pdf dated 03-07-18 has
>> "For those users, the Matrix class provides a more intuitive
>> interface. We defer discussion of the Matrix class until later."
>> On the same page there is:
>> The Matrix.py python module defines a class Matrix which is a
>> subclass of UserArray. The only differences
>> between Matrix instances and UserArray instances is that the *
>> operator on Matrix performs a
>> matrix multiplication, as opposed to element-wise multiplication,
>> and that the power operator ** is disallowed
>> for Matrix instances."
>> In view of the above, I can understand why Huaiyu Zhu took a while.
>> His proposal was much more ambitious.
> There is always a lag between documentation and implementation. I
> would be interested to understand what "more ambitious" elements are
> still not in Numeric's Matrix object (besides the addition of a
> language operator of course).
>> Yes, I know that the power operator is implemented and that there is
>> a random matrix but I hope that some attention is given to the
>> functionality PyMatrix. I recognize that the implementation has some
> Which aspects are you most interested in? I would be happy if you
> would consider placing something like PyMatrix under scipy_core
> instead of developing it separately.
Yes, after the dust of the current activity settles, I would certainly
be interested in exploring this although I would see a closer
association with Numeric3 than with scipy.
>>> Yes, it needed work, and a few of his ideas were picked up on and
>>> included in Numeric's Matrix object.
>> I suggest that this overstates what was picked up.
> I disagree. I was the one who picked them up and I spent a bit of
> time doing it. I implemented the power method, the ability to build
> matrices in blocks, the string processing for building matrices, and a
> lot of the special attribute names for transpose, hermitian transpose,
> and so forth.
> There may be some attributes that weren't picked up, and a discussion
> of which attributes are most important is warranted.
>> Good, on both scores. I hope that the PEP will set out these ideas.
> You are probably in a better position time-wise to outline what you
> think belongs in a Matrix class. I look forward to borrowing your
> ideas for inclusion in scipy_core.
My thoughts are largely in the current implementation of PyMatrix.
Below is an extract from the most recent announcement.
I propose to explore the changes needed to use Numeric3 with the new
ufuncs. Do you have any feel for when Alpha binary versions will likely
Downloads in the form of a Windows Installer (Inno) and a zip file are
An /Introduction to PyMatrix/ is available:
Information on the functions and methods of the matrix module is given at:
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