Colin, I'll second the endorsement of Sage; however, for teaching purposes, I would suggest Sage Math Cloud. It is a free, web-based version of Sage, and it does not require you or the students to install any software (besides a new-ish web browser). It also make sharing/collaborative work quite easy as well. I've used this a bit for demos, and it's great. The author William Stein is good at correcting bugs/issues very quickly.
Sage implements it's own Matrix and Vector classes, and the Vector class has a "column" method that returns a column vector (transpose). http://www.sagemath.org/doc/tutorial/tour_linalg.html For what it's worth, I agree with others about the benefits of avoiding a Matrix class in Numpy. In my experience, it certainly makes things cleaner in larger projects when I always use NDArray and just call the appropriate linear algebra functions (e.g. np.dot, etc) when that is context I need. Anyway, just my two cents. Ryan On Wed, Jan 7, 2015 at 2:44 PM, cjw <c...@ncf.ca> wrote: > Thanks Alexander, > > I'll look at Sage. > > Colin W. > > > On 06-Jan-15 8:38 PM, Alexander Belopolsky wrote: > > On Tue, Jan 6, 2015 at 8:20 PM, Nathaniel Smith <n...@pobox.com> > <n...@pobox.com> wrote: > > > Since matrices are now part of some high school curricula, I urge that > > they > > be treated appropriately in Numpy. Further, I suggest that > > consideration be > > given to establishing V and VT sub-classes, to cover vectors and > > transposed > > vectors. > > The numpy devs don't really have the interest or the skills to create > a great library for pedagogical use in high schools. If you're > interested in an interface like this, then I'd suggest creating a new > package focused specifically on that (which might use numpy > internally). There's really no advantage in glomming this into numpy > proper. > > > Sorry for taking this further off-topic, but I recently discovered an > excellent SAGE package, <http://www.sagemath.org/> > <http://www.sagemath.org/>. While it's targeted > audience includes math graduate students and research mathematicians, parts > of it are accessible to schoolchildren. SAGE is written in Python and > integrates a number of packages including numpy. > > I would highly recommend to anyone interested in using Python for education > to take a look at SAGE. > > > > > _______________________________________________ > NumPy-Discussion mailing > listNumPy-Discussion@scipy.orghttp://mail.scipy.org/mailman/listinfo/numpy-discussion > > > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion > >
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