Hi William,
installed the docker version - exciting stuff - just brilliant!
thanks. We need this "sagewide" asap really. Be looking into it as I
understand more.
small question when you have a moment:
docker starts correctly, everything works-I have SMC locally but I
can't get in sage dedicated modes like R or shell. Some of them work
like maxima, python, gap. If I create a terminal in my project, I can
start R. The code is there - just not accessible from a sage file in
the project: any idea ?
best,
J
PS : an example:
%r
1+1
Error in lines 1-1
Traceback (most recent call last):
File "/usr/local/lib/python2.7/dist-packages/smc_sagews/sage_server.py",
line 968, in execute
exec compile(block+'\n', '', 'single') in namespace, locals
File "", line 1, in <module>
File "/usr/local/lib/python2.7/dist-packages/smc_sagews/sage_server.py",
line 1009, in execute_with_code_decorators
code = code_decorator(code)
File "/usr/local/lib/python2.7/dist-packages/smc_sagews/sage_salvus.py",
line 2117, in r
r.jupyter_kernel = jupyter("ir")
File "/usr/local/lib/python2.7/dist-packages/smc_sagews/sage_jupyter.py",
line 31, in __call__
return _jkmagic(kernel_name, **kwargs)
File "/usr/local/lib/python2.7/dist-packages/smc_sagews/sage_jupyter.py",
line 111, in _jkmagic
km, kc = jupyter_client.manager.start_new_kernel(kernel_name = kernel_name)
File
"/usr/lib/sagemath/local/lib/python2.7/site-packages/jupyter_client/manager.py",
line 429, in start_new_kernel
km.start_kernel(**kwargs)
File
"/usr/lib/sagemath/local/lib/python2.7/site-packages/jupyter_client/manager.py",
line 230, in start_kernel
kernel_cmd = self.format_kernel_cmd(extra_arguments=extra_arguments)
File
"/usr/lib/sagemath/local/lib/python2.7/site-packages/jupyter_client/manager.py",
line 170, in format_kernel_cmd
cmd = self.kernel_spec.argv + extra_arguments
File
"/usr/lib/sagemath/local/lib/python2.7/site-packages/jupyter_client/manager.py",
line 82, in kernel_spec
self._kernel_spec =
self.kernel_spec_manager.get_kernel_spec(self.kernel_name)
File
"/usr/lib/sagemath/local/lib/python2.7/site-packages/jupyter_client/kernelspec.py",
line 175, in get_kernel_spec
raise NoSuchKernel(kernel_name)
NoSuchKernel: No such kernel named ir
On 24 November 2016 at 00:54, Jack Dyson <jackdyso...@gmail.com> wrote:
> Thanks I will! enough there to think about already !
> J
> PS nteract looks cool
>
> On 24 November 2016 at 00:07, William Stein <wst...@gmail.com> wrote:
>> On Wed, Nov 23, 2016 at 3:02 PM, Jack Dyson <jackdyso...@gmail.com> wrote:
>>> Right cheers for that William! will give it a go, hopefully we'll have it as
>>> standard at some point soon.
>>
>> If you do want to work on that, some thoughts:
>>
>> - There is a "painful" dependency on RethinkDB, which is a C++
>> program that takes a while to compile. In a few months I predict this
>> will be replaced by either sqlite or postgreSQL, which are both much
>> less painful dependencies...
>>
>> Actually, I don't have much in the way of other thoughts, but don't
>> hesitate to ask.
>>
>>> Best from here,
>>> J
>>>
>>> On Wednesday, November 23, 2016 at 10:00:05 PM UTC+1, William Stein wrote:
>>>>
>>>> On Wed, Nov 23, 2016 at 12:11 PM, Jan Groenewald <j...@aims.ac.za> wrote:
>>>> >
>>>> > Hi
>>>> >
>>>> > On 23 November 2016 at 22:05, Dima Pasechnik <dim...@gmail.com> wrote:
>>>> >>
>>>> >>
>>>> >> I understand that opinions on usability of
>>>> >> https://github.com/sagemath/sagenb/tree/newui
>>>> >> diverge. (and with the breakneck speed javascript
>>>> >> frameworks are developed, one may ask whether something written in 2012
>>>> >> is still a great idea)
>>>> >>
>>>> >> You ask why sagenb is not developed further.
>>>> >> 1) the sagenb's design is really dated, and jupyter notebook seems a
>>>> >> better (and much better
>>>> >> supported) alternative.
>>>> >> 2) Another actively developed alternative is SMCs notebook, which can
>>>> >> be run
>>>> >> locally.
>>>> >
>>>> >
>>>> > In Africa we have connectivity and power issues, which requires a local
>>>> > notebook.
>>>>
>>>>
>>>> SMC **can be run locally**:
>>>>
>>>> 1. Install docker.
>>>>
>>>> 2. Type this (all one line)
>>>>
>>>> docker run --name=smc -v ~/smc:/projects -p 80:80 -p 443:443
>>>> sagemathinc/sagemathcloud
>>>>
>>>> Now you're running SMC locally (visit http://localhost). See
>>>> https://github.com/sagemathinc/smc/blob/master/src/dev/docker/README.md
>>>>
>>>>
>>>>
>>>> --
>>>> William (http://wstein.org)
>>>
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>>
>>
>> --
>> William (http://wstein.org)
>>
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