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 <cjw@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 <njs@pobox.com> <njs@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.
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