If I go to the branch link on ticket #25106
(https://git.sagemath.org/sage.git/diff?id=32e5316a727da35794e03d677bbbc3a39bb4599d),
I get this error. But going through the commit list
(https://git.sagemath.org/sage.git/diff/?h=058ae5fae44b940084063dc852cd304627c1db25)
works fine. Is this just
This seems relevant to sage-devel - congrats to Fernando and the whole
team! Several SageMath shoutouts in the post.
Hi folks,
>
> it is a pleasure to report to the whole IPython/Jupyter community that the
> project has been recognized by the ACM with their Software System Award:
>
> https://en
And just for fun, a Jupyter notebook version (just curious if this
would "just work", and it does):
https://cocalc.com/share/4a5f0542-5873-4eed-a85c-a18c706e8bcd/support/2018-05-02-nemo.ipynb?viewer=share
On Wed, May 2, 2018 at 1:21 PM, Samuel Lelievre
wrote:
> For comparison, Nemo gives an erro
For comparison, Nemo gives an error.
$ julia
_
_ _ _(_)_ | A fresh approach to technical computing
(_) | (_) (_)| Documentation: https://docs.julialang.org
_ _ _| |_ __ _ | Type "?help" for help.
| | | | | | |/ _` | |
On Wed, May 2, 2018 at 4:41 PM, John Cremona wrote:
> On another python project I contribute to (LMFDB) we have for some time
> only merged commits which satisfy pyflakes 100%. It's a much smaller
> project than Sage, and when we first started using pyflakes there was quite
> a lot of work to do
would it be easy to have the patchbots run such a tool? if so, one could
at least have the information, without being forced to do anything.
Martin
Am Mittwoch, 2. Mai 2018 16:41:48 UTC+2 schrieb John Cremona:
>
> On another python project I contribute to (LMFDB) we have for some time
> only
On another python project I contribute to (LMFDB) we have for some time
only merged commits which satisfy pyflakes 100%. It's a much smaller
project than Sage, and when we first started using pyflakes there was quite
a lot of work to do, some of which seemed rather unnecessary, but also a
lot of
rjf> The chance that Machine Learning AI programs will find
rjf> important algorithmic efficiency fixes in algebraic
rjf> mathematical implementations seems pretty slim.
Improving code is something other than improving algorithmic
efficiency of high-level algorithms, of whatever kind. The
latt
