Am 07.03.2011 01:50, schrieb Mahesh Narayanamurthi:
Hello,
I am thinking of implementing a BLAS package in pure python. I am
wondering if this is a good idea.
I don't think so. Usually people write extensions to the CPython
implementation (when talking about performance, we need to talk about
Python implementations like CPython, Jython or PyPy) in C to do high
performance stuff. Pure CPython is (depeneding on the problem)
magnitudes slower than C.
Also, there's NumPy SciPy. Check those out.
More comments below ...
My design goals are:
[1] Efficient manipulation of Matrices and
Vectors using pure python objects and
python code.
No, not efficient in terms of performance.
[2] Targetted to run on Python3
Good idea. NumPy and SciPy will be (are already?) ported.
[3] Extensive use of defensive programming
style
[4] To serve as a reference design for
future High Performance Code in Python
The future of High Performance Python is probably PyPy.
[5] To serve as a reference material in
classroom courses on numerical computing
or for hobbyist programmers
Good idea, as Python is clear and nice to read.
Thanks,
Mahesh Narayanamurthi
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