> However, one could certainly directly install Jupyter separate from Sage,
then
> create a kernel. I'm sure that would (eventually) work,
We have some tickets in this direction - see
https://trac.sagemath.org/ticket/30306 -
which need help.
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On Fri, 18 Dec 2020, 20:41 William Stein, wrote:
> On Fri, Dec 18, 2020 at 11:26 AM Dima Pasechnik wrote:
>
> > > It is of course impossible to build or install anything with this
> > > binary. Why do we not ship openssl as part of the binary (the license
> > > issues got resolved a few years a
On Fri, Dec 18, 2020 at 11:26 AM Dima Pasechnik wrote:
> > It is of course impossible to build or install anything with this
> > binary. Why do we not ship openssl as part of the binary (the license
> > issues got resolved a few years ago)?
> It's not resolved yet.
But openssl is licensed apach
On Fri, Dec 18, 2020 at 6:14 PM William Stein wrote:
>
> Hello,
>
> There is a thread [1] on sage-support about using Sage on the new
> Apple M1 ARM 64-bit based laptops. I have one of these, so I decided
> to investigate, since this M1 processor is very, very impressive
> regarding the compute /
Hello,
There is a thread [1] on sage-support about using Sage on the new
Apple M1 ARM 64-bit based laptops. I have one of these, so I decided
to investigate, since this M1 processor is very, very impressive
regarding the compute / watt ratio.
Tom Judson asked:
> I have a new MacBook Air with an
> Of course one of thing is actually blas/lapack (openblas)- but
> with any luck we can use the accelerate framework from OS X.
> I haven’t heard it is not available on macs with M1 chips so I am
> assuming it is present.
I believe so, but it behaved differently sometimes on PPC (e.g. locati
Also suitesparse.
Of course one of thing is actually blas/lapack (openblas)- but
with any luck we can use the accelerate framework from OS X.
I haven’t heard it is not available on macs with M1 chips so I am
assuming it is present.
> On 25/11/2020, at 3:46 PM, kcrisman wrote:
>
>
>
> IMHO it
>
> IMHO it's known to work with numpy, scipy, and R.
>
>
That's pretty much all we need fortran for, right? Good news. Still,
the toolchain will be more annoying than on current Mac then.
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On Tue, Nov 24, 2020 at 6:49 PM François Bissey wrote:
>
> That would be a new fortran compiler. I did builds in the past with
> the intel fortran compiler and the PG compiler but not NAG.
> You’ll be in totally uncharted territory.
IMHO it's known to work with numpy, scipy, and R.
>
> Fraçois
>
At conda-forge, we are using a gfortran fork (
https://github.com/iains/gcc-darwin-arm64) and it works great so far.
scipy, numpy test suites pass.
Isuru
On Tue, Nov 24, 2020 at 12:49 PM François Bissey
wrote:
> That would be a new fortran compiler. I did builds in the past with
> the intel for
That would be a new fortran compiler. I did builds in the past with
the intel fortran compiler and the PG compiler but not NAG.
You’ll be in totally uncharted territory.
Fraçois
> On 25/11/2020, at 5:36 AM, Dima Pasechnik wrote:
>
> Anyhow, there is
> https://www.nag.com/news/first-fortran-com
Hi sage-devel,
The only references I could find to this so far are
https://ask.sagemath.org/question/54220/apple-silicon-m1-chip/
and
https://groups.google.com/g/sage-devel/c/5yY3VmkT4kE/m/P21QdaMUBgAJ
where I asked more generally about ARM.
I am likely to be assigned such a laptop in the near f
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