Oscar Benjamin writes:
> On Mon, 17 Aug 2020 at 07:14, Stephen J. Turnbull
> wrote:
> > SymPy.
> >
> > Except that in this conversation, "linear algebra" is likely neither
> > restricted to linearity nor so much algebraic as computational, so
> > SymPy likely won't do. :-/
> SymPy is exa
On Mon, 17 Aug 2020 at 07:14, Stephen J. Turnbull
wrote:
>
> Christopher Barker writes:
>
> > Anyway, I would like to see a nice linear algebra lib -- but not 'cause I'd
> > use it, only because I find it interesting.
>
> SymPy.
>
> Except that in this conversation, "linear algebra" is likely ne
On Sun, Aug 16, 2020 at 11:20 PM Stephen J. Turnbull <
turnbull.stephen...@u.tsukuba.ac.jp> wrote:
> It's getting the fiddly stuff right (numerical stability and accuracy,
> catching edge cases in algorithms) so that you can use it with
> confidence for work that has consequences if you get it wro
Greg Ewing writes:
> On 16/08/20 4:26 am, Ricky Teachey wrote:
> > There are certainly
> > instances where I've needed to used matrices to solve a system of
> > equations in an automated way. But most of time it's simply not needed,
>
> If we're going to have a class that supports matrix
Christopher Barker writes:
> Anyway, I would like to see a nice linear algebra lib -- but not 'cause I'd
> use it, only because I find it interesting.
SymPy.
Except that in this conversation, "linear algebra" is likely neither
restricted to linearity nor so much algebraic as computational, so
On Sun, Aug 16, 2020 at 10:50 AM David Mertz wrote:
> What is happening in the discussion is that each potential user who
> comments finds some related capability that is relevant to their particular
> needs. But the union of all those wishes is something substantially
> large... Maybe not NumPy
On Sun, Aug 16, 2020 at 1:19 AM Christopher Barker
wrote:
Well, I was trained and an engineer, but now call myself an oceanographer,
but in any case, I don't need to submit my calculations for review to
anyone. Though I do need to present algorithms / calculations / methods in
written form that
The more this discussion goes on, the more convinced I am of my initial
opinion. A matrix library doesn't belong in the standard library.
What is happening in the discussion is that each potential user who
comments finds some related capability that is relevant to their particular
needs. But the u
+1 for the idea of a module for matrices and vectors in the stdlib.
One aspect that I would like to highlight is that NumPy is not always so easily
available. I got feedback from many schools that they were using tablet
computers or something like Chrome books and thus basically limited to anyt
Well, I was trained and an engineer, but now call myself an oceanographer,
but in any case, I don't need to submit my calculations for review to
anyone. Though I do need to present algorithms / calculations / methods in
written form that others can understand -- so a similar problem.
But frankly,
On 16/08/20 4:26 am, Ricky Teachey wrote:
There are certainly
instances where I've needed to used matrices to solve a system of
equations in an automated way. But most of time it's simply not needed,
If we're going to have a class that supports matrix multiplication,
I think we should at leas
On Fri, 14 Aug 2020 at 05:37, Guido van Rossum wrote:
> My own strawman would be to limit a Matrix to 2-dimensionality -- I believe
> that even my college linear algebra introduction (for math majors!) didn't
> touch upon higher dimensionality, and I doubt that what I learned in high
> school
On Sat, Aug 15, 2020, 11:20 AM Stephen J. Turnbull <
turnbull.stephen...@u.tsukuba.ac.jp> wrote:
> Ricky Teachey writes:
>
> > Well keep in mind that generally an engineer submits calculations-- not
> > code-- to be reviewed. This leaves me with a few options:
>
> [...]
>
> > Hiding the portion
Ricky Teachey writes:
> Well keep in mind that generally an engineer submits calculations-- not
> code-- to be reviewed. This leaves me with a few options:
[...]
> Hiding the portion of code that looks too much like programming (and not
> enough like equations) takes some time, but if I do n
On Fri, Aug 14, 2020 at 1:32 PM Stephen J. Turnbull <
turnbull.stephen...@u.tsukuba.ac.jp> wrote:
> Ricky Teachey writes:
>
> > I'll try to speak to [what would engineers use a matrix library
> > for] below.
>
> I don't get it. Among other things, the object uwt_per_ft isn't
> defined. I think
Ricky Teachey writes:
> I'll try to speak to [what would engineers use a matrix library
> for] below.
I don't get it. Among other things, the object uwt_per_ft isn't
defined. I think it's a typo for the one-dimensional array
γ_per_foot, but not sure. I don't see any advantage to numpy or a
m
Guido van Rossum writes:
> That's food for thought.
Thank you. Let me confirm to the proponents that "food for thought"
is all I intended. I know a fair amount about statistics, and almost
as much about linear algebra, but nothing about physics or engineering.
> Certainly I trust [Steven D'A
On 14/08/20 9:05 pm, Marco Sulla wrote:
Another big problem with tensors is the covariance and contravariance.
Usually in informatic you denote the covariance with the subscript
operator, that on paper is written as subscript. Contravariant index
on the contrary is a superscript. Not sure how a p
Another class of folks who might find something like this useful
is those playing around with computer graphics using pygame,
pyglet, etc. where coordinate transformations are used a lot.
Bringing in numpy for that can seem like massive overkill
for a tiny game.
--
Greg
__
In my role as an engineering professor and instructor, I find linear algebra to
be essential. To my knowledge, almost any book on engineering mathematics
contains a large section on linear algebra.
numpy is an extremely useful package, but is overwhelming for some novices
(e.g. dealing with the
On Fri, Aug 14, 2020, 12:05 AM Stephen J. Turnbull <
turnbull.stephen...@u.tsukuba.ac.jp> wrote:
> I cannot speak to engineering uses of matrix computations. If someone
>
produces use cases that fit into the list of operations proposed
> (addition, negation, multiplication, inverse, transposition
Excuse me, I sent this message from the wrong email address:
On Fri, 14 Aug 2020 at 09:24, Steven D'Aprano wrote:
> Tensors generalise matrices to an arbitrary number of
> dimensions, 3D and above.
>
> https://medium.com/@quantumsteinke/whats-the-difference-between-a-matrix-and-a-tensor-4505fbdc5
LaTeX for example uses the underscore for subscripts and the ^ for the
superscript. This is not acceptable, since Python (and almost all
languages) uses [] for subscript, and ^ in Python is the XOR logical
operator.
___
Python-ideas mailing list -- pytho
On Thu, Aug 13, 2020 at 09:33:46PM -0700, Guido van Rossum wrote:
> That's food for thought. I have to admit that I have forgotten almost
> everything about linear algebra that I was ever taught
In Australia, at least, secondary schools don't spend a lot of time
teaching matrices for linear alge
On Fri, 14 Aug 2020 at 03:16, Steven D'Aprano wrote:
> Funny you mention this, I have been working on a Matrix object for
> precisely the use-case you discuss (secondary school maths), where
> performance is not critical and the dimensions of the matrix is
> typically single digits.
This is reall
That's food for thought. I have to admit that I have forgotten almost
everything about linear algebra that I was ever taught -- and I was never
taught numerical accuracy concerns in this context, since we were allowed
to use only pencil and paper (in high school as well as college), so the
problems
Guido van Rossum writes:
> I was going to say that such a matrix module would be better of in
> PyPI, but then I recalled how the statistics module got created,
> and I think that the same reasoning from PEP 450 applies here too
> (https://www.python.org/dev/peps/pep-0450/#rationale).
>
> So
I was going to say that such a matrix module would be better of in PyPI,
but then I recalled how the statistics module got created, and I think that
the same reasoning from PEP 450 applies here too (
https://www.python.org/dev/peps/pep-0450/#rationale). So I'd say go for it!
I think it would even b
numpy arrays are ... arrays, if you want * to do matmul, use
numpy.matrix (which is soft deprecated since now we have @), and will
do what you expect with square matrix times vector.
broadcasting is the natural extension of array `op` scalar on... arrays.
Say you have an array Pressure with 3 coo
On Thu, Aug 13, 2020 at 11:17:00PM +0100, Stefano Borini wrote:
> The math module has plenty of mathematical functions that are very
> interesting, but no Matrix object.
Funny you mention this, I have been working on a Matrix object for
precisely the use-case you discuss (secondary school maths)
This is a lot to add to Python itself to poorly reproduce well-tested
functionally in a very popular library. There are many Python distributions
that come with that extra battery included, just not the one from the PSF.
On Thu, Aug 13, 2020, 6:20 PM Stefano Borini
wrote:
> Excuse me if I am out
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