>
> It's ridiculous that we spend no effort on pandas/statsmodels, and all
> this
> effort on R.
+1
> For example, I recall that there are some issues involving pandas +
> statsmodels + the sage preparser.
>
I use Pandas in the default Sage Interpreter on a daily basis and have only
this question pops up
here: https://trac.sagemath.org/ticket/18920#comment:61
Updated Maxima returns a different scaling for what appears to be a
homogeneous bivariate
polynomial, which documentation, written in an NT creole (;-P), doesn't
really spell out;
I need to decide whether the doctes
On Friday, October 28, 2016 at 8:03:26 AM UTC-7, William wrote:
>
> we should **completely and totally remove R
> from Sage**.
>
We could also demote the R package to "optional" or "experimental" status.
I'd support that.
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On Friday, October 28, 2016 at 5:01:54 PM UTC, jhonrubia6 wrote:
>
> Is not 104.197.143.230?
>
>
> OnoSendaiII:sage J_Honrubia$ host trac.sagemath.org
>
> trac.sagemath.org has address 104.197.143.230
>
the IP might have remained, but the (virtual) machine got changed, and got
SSH keys regener
On Fri, Oct 28, 2016 at 9:38 AM, Dima Pasechnik wrote:
>
>
> On Friday, October 28, 2016 at 3:03:26 PM UTC, William wrote:
>>
>> Hi,
>>
>> Regarding the openssl dependency issue, the standard way people
>> justify getting around it is the "system library exemption", which
>> allows for GPL'd progr
Is not 104.197.143.230?
OnoSendaiII:sage J_Honrubia$ host trac.sagemath.org
trac.sagemath.org has address 104.197.143.230
El jueves, 27 de octubre de 2016, 20:29:30 (UTC+2), John Cremona escribió:
>
> The machine hosting trac did change recently.
>
> On 27 October 2016 at 19:17, jhonrubia
5 variables and degree 100 is really, really huge. Especially over QQ, the
coefficients of
polynomials will just totally blow.
In fact, 5 variables and degree 10 might still be quite hard, in particular
over QQ or other char. 0 fields.
On Friday, October 28, 2016 at 7:55:02 AM UTC, Jori Mäntys
On Friday, October 28, 2016 at 10:26:28 AM UTC, Jori Mäntysalo wrote:
>
> On Wed, 26 Oct 2016, Luca De Feo wrote:
>
> >> Some other things: Is it possible to run plain R (or GAP or...) from
> >> Jupyter?
>
> > You can change the kernel via the "Kernel" menu (there are kernels for
> > R, GAP,
On Friday, October 28, 2016 at 3:03:26 PM UTC, William wrote:
>
> Hi,
>
> Regarding the openssl dependency issue, the standard way people
> justify getting around it is the "system library exemption", which
> allows for GPL'd programs to link in system libraries that are not
> GPL'd (otherwis
Hi,
Regarding the openssl dependency issue, the standard way people
justify getting around it is the "system library exemption", which
allows for GPL'd programs to link in system libraries that are not
GPL'd (otherwise, things like GPL software on MS Windows would be
impossible!). Some links her
On Friday, October 28, 2016 at 3:58:42 PM UTC+2, Volker Braun wrote:
>
> I think you are making it more difficult than it is. I'm pretty sure our
> binaries already depend on openssl being installed, and we do this under
> the GPL system library exception. We just can't ship our own openssl (no
I think you are making it more difficult than it is. I'm pretty sure our
binaries already depend on openssl being installed, and we do this under
the GPL system library exception. We just can't ship our own openssl (nor
would I want to).
So we may just as well include libcurl, linked to the sys
Hi,
On 28/10/2016 15:39, Emmanuel Charpentier wrote:
However, this does not seem to be a problem per se : Debian (one of the
most nitpicking distros in terms of licensing) happily ships libraries
and utilities (such as cups, for starter) linked with openssl-linked
libcurl. I think that it wou
My thoughts so far :
I : Is there really a problem ?
=
What all the brouhaha around libcurl boils down to is that there *might* be
a (pseudo)-legal difficulty in shipping a libcurl liibrary requiring
OpenSSL and a GPL-licensed piece of software *in the same package*. This
m
Le vendredi 28 octobre 2016 13:13:10 UTC+2, Jean-Pierre Flori a écrit :
>
>
>
> On Friday, October 28, 2016 at 12:33:42 PM UTC+2, Emmanuel Charpentier
> wrote:
>>
>> I just checked (by installation on a virtual machine) that a *virgin*
>> (base + destktop + usual utilities) debian stable (jessi
On Friday, October 28, 2016 at 12:33:42 PM UTC+2, Emmanuel Charpentier
wrote:
>
> I just checked (by installation on a virtual machine) that a *virgin*
> (base + destktop + usual utilities) debian stable (jessie) has openssl
> installed. Tentatively asking for its removal (apt-get remove -s op
I just checked (by installation on a virtual machine) that a *virgin* (base
+ destktop + usual utilities) debian stable (jessie) has openssl installed.
Tentatively asking for its removal (apt-get remove -s openssl) tells that
it would remove a ton of system utilities.
The same is true on testin
On Wed, 26 Oct 2016, Luca De Feo wrote:
Some other things: Is it possible to run plain R (or GAP or...) from
Jupyter?
You can change the kernel via the "Kernel" menu (there are kernels for
R, GAP, PARI/GP, Python, etc.)
Kernel menu shows only Python3 and SageMath, so it does not show "kerne
On Thursday, October 27, 2016 at 8:15:38 PM UTC+2, kcrisman wrote:
>
>
> So either they will stop distribute R or they will patch
>>> en-masse.
>>>
>>
>> Somehow, I doubt it.
>>
>>
> Probably nobody even bothered to notice or notify e.g. Debian?
>
> I think people at Debian ar well aware of suc
Hi John,
On 2016-10-27, John H Palmieri wrote:
>>The OOP way would be to have a mix-in class and subclasses for square
>> matrices that implement these methods.
The category's parent_class resp. element_class are such mix-in classes.
>> This would mean setting the Element
>> attribute in
On 2016-10-27, William Stein wrote:
> On Thu, Oct 27, 2016 at 11:25 AM, kcrisman wrote:
>> On Thursday, October 27, 2016 at 2:11:58 PM UTC-4, John H Palmieri wrote:
>>>
>>> (1) Why should a nonsquare matrix even have an "is_similar" method? Can we
>>> get rid of that? (Same for "determinant" and
Hi John,
On 2016-10-27, John H Palmieri wrote:
> (1) Why should a nonsquare matrix even have an "is_similar" method? Can we
> get rid of that? (Same for "determinant" and some other methods.)
It would be possible using the category framework's "ElementMethods".
x.is_similar(y) makes sense for
On Thu, 27 Oct 2016, Dima Pasechnik wrote:
factorisation of multivariate polynomials is very slow. This is a fact of
life.
True, but is it normal that some specific polynomial takes gigabytes,
whereas others show no big increase in memory use?
I have found bugs in Singular before, and then
On Thu, 27 Oct 2016, Travis Scrimshaw wrote:
1 - the definition (as even given in the docstring) still makes full sense
if the matrices are not the same size or if they are not square. There does
not exist such a matrix P.
To compare: (meet-)pseudocomplemet is defined for (meet-)semilattices,
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