Hallo! Excuse my bad English. In the web page http://www.scipy.org/BaseArray/Application in the section
Project details and tentative schedule you refer to the dead link with name http://numeric.scipy.org/array_interface.html which leads to http://numpy.scipy.org//array_interface.html which is dead (with singular '/' before array_interface.html - too) I'm using Mozilla browser if it's important. Now I'm writing some code and want to know, what will dotwise and matrix operations look like? Is there any discussion where these and related questions are concerned? So, will they be MATLAB/Octave/omatrix/SciLab/etc look-like: dot is present => dotwise operation dot is absend => matrix operation or you'll continue numpy array operations, which seems to be very unclear for newbies? As for me I'm sure that in long-term period 1st approach is much more better, because users will not have to dig in numpy documentation for to chose appropriate operator, and translating code from those languages will be much more easier. Of course, many people can say that 2nd way simplifies translating code from already-written py-files, but it will be done only once, while migrating MATLAB, Octave, etc users will continue for years or dozens of years or even more. Maybe you'll organize a voting or separate discussion thread or something else to gather users opinions? And 2nd question is - is it so important to have own class? Maybe something from c/c++ boost (www.boost.org), or collaboration with Octave developers will be more fast & require less workers and money? And it will be possible to fork any time when something will be going wrong. As far as I understood from my discussions in octave mailing lists with David Bateman, they still have many problems with for example sparse matrices. Even Mathworks still have some troubles, and sparse witn dimension > 2 isn't implemented at all. So collaborating could be much more productive. And, if you still want to create 100% your own code, what are tasks for students participating in GSoC? I want to estimate the complexity of jobs (am I able to finish them successfully till the deadlines or no for any reasons). Thank you in advance for your answer, Dmitrey. _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion