On 06/01/2015 8:38 PM, Alexander Belopolsky wrote:
On Tue, Jan 6, 2015 at 8:20 PM, Nathaniel Smith n...@pobox.com
mailto: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
On 08/01/2015 1:19 PM, Ryan Nelson wrote:
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
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
On Wed, Jan 7, 2015 at 7:35 PM, cjw c...@ncf.ca wrote:
Nathaniel,
Of the two characteristics to which I pointed, I feel that the
rectangularity check is the more important. I gave an example of a typo
which demonstrated this problem.
The numpy matrix class does require rectangularity; the
Nathaniel,
Of the two characteristics to which I pointed, I feel that the
rectangularity check is the more important. I gave an example of a typo
which demonstrated this problem.
The error message reported that pinv does not have a conjugate function
which, I suggest, is a totally misleading
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 wrote:
Since matrices are now part of some high
On 06/01/15 02:08, cjw wrote:
This is not a comment on any present matrix support, but deals with the
matrix class, which existed back when Todd Miller of the Space Telescope
Group supported numpy.
Matrix is a sub-class of ndarray.
Since this Matrix class is (more or less) deprecated and
On 06-Jan-15 7:31 AM, Sturla Molden
wrote:
On 06/01/15 02:08, cjw wrote:
This is not a comment on any present matrix support, but deals with the
matrix class, which existed back when Todd Miller of the Space Telescope
Group supported numpy.
Hi Colin,
On Wed, Jan 7, 2015 at 12:58 AM, cjw c...@ncf.ca wrote:
My recollection, from discussions, at the time of the introduction of the @
operator, was that there was no intention to disturb the existing Matrix
class.
Yeah, we're not going to be making any major changes to the
On Tue, Jan 6, 2015 at 8:20 PM, Nathaniel Smith 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
On 05-Jan-15 1:56 PM, Davidid wrote:
On 5 January 2015 at 20:40, Colin J. Williams cjwilliam...@gmail.com
wrote:
This illustrates a failure, which is reported later in the calculation:
A2= np.matrix([[1, 2, -2], [-3, -1, 4], [4, 2 -6]])
Here 2 - 6 is treated as an expression.
There
Nathaniel,
This is not a comment on any present matrix support, but deals with
the matrix class, which existed back when Todd Miller of the Space
Telescope Group supported numpy.
Matrix is a sub-class of ndarray.
I'm suggesting that anything which is
One of the essential characteristics of a matrix is that it be rectangular.
This is neither spelt out or checked currently.
The Doc description refers to a class:
- *class *numpy.matrix[source]
http://github.com/numpy/numpy/blob/v1.9.1/numpy/matrixlib/defmatrix.py#L206
Returns a matrix
On 5 January 2015 at 20:40, Colin J. Williams cjwilliam...@gmail.com
wrote:
This illustrates a failure, which is reported later in the calculation:
A2= np.matrix([[1, 2, -2], [-3, -1, 4], [4, 2 -6]])
Here 2 - 6 is treated as an expression.
There should be a comma between 2 and -6. The
Hi,
On Mon, Jan 5, 2015 at 8:40 PM, Colin J. Williams cjwilliam...@gmail.com
wrote:
One of the essential characteristics of a matrix is that it be rectangular.
This is neither spelt out or checked currently.
The Doc description refers to a class:
- *class *numpy.matrix[source]
I'm afraid that I really don't understand what you're trying to say. Is
there something that you think numpy should be doing differently?
On Mon, Jan 5, 2015 at 6:40 PM, Colin J. Williams cjwilliam...@gmail.com
wrote:
One of the essential characteristics of a matrix is that it be rectangular.
On Mon, Jan 5, 2015 at 1:58 PM, Nathaniel Smith n...@pobox.com wrote:
I'm afraid that I really don't understand what you're trying to say. Is
there something that you think numpy should be doing differently?
This is a case similar to the issue discussed in
On Mon, Jan 5, 2015 at 1:58 PM, Nathaniel Smith n...@pobox.com wrote:
I'm afraid that I really don't understand what you're trying to say. Is
there something that you think numpy should be doing differently?
I liked it better when this raised an exception, instead of creating a
rectangular
On Mon, Jan 5, 2015 at 7:18 PM, josef.p...@gmail.com wrote:
On Mon, Jan 5, 2015 at 1:58 PM, Nathaniel Smith n...@pobox.com wrote:
I'm afraid that I really don't understand what you're trying to say. Is
there something that you think numpy should be doing differently?
I liked it better
On Mon, Jan 5, 2015 at 2:36 PM, Nathaniel Smith n...@pobox.com wrote:
On Mon, Jan 5, 2015 at 7:18 PM, josef.p...@gmail.com wrote:
On Mon, Jan 5, 2015 at 1:58 PM, Nathaniel Smith n...@pobox.com wrote:
I'm afraid that I really don't understand what you're trying to say. Is
there
On Mon, Jan 5, 2015 at 9:36 PM, Nathaniel Smith n...@pobox.com wrote:
On Mon, Jan 5, 2015 at 7:18 PM, josef.p...@gmail.com wrote:
On Mon, Jan 5, 2015 at 1:58 PM, Nathaniel Smith n...@pobox.com wrote:
I'm afraid that I really don't understand what you're trying to say. Is
there
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