Re: [jupyter] command line ipython kernel incantation / API?

[Matthias Bussonnier]

Hi John,

The (best?) place to start is Jupyter Client docs [1], if you want to
communicate with a pure kernel you'll have to use ZMQ – not much
harder than HTTP[2], it's basically sockets on steroids –. and you
want to manually use `python -m ipykernel ` to start
a python kernel. The connection file give you infomations on how to
bind/connect ZMQ ports. The "Making a kernel" part is the most
complete (as that's what usually people are interested in), and we
should improve the "making a client" part (maybe with your help ?).
Regardless bug report welcome, and despite the jupyter_client
implementation being in Python, any example in documentation in other
languages welcome.

Hope that helps get you started.

Cheers
-- 
M
[1] http://jupyter-client.readthedocs.io/en/latest/
[2] the "Http" communication with kernels is actually websoket, and
the `jupyter notebook`application is a websocket<->ZMQ bridge.

On Mon, Jun 5, 2017 at 9:31 PM, John Kitchin  wrote:
> Hi,
>
> I was wondering if there is a command to start an ipython kernel that you
> can communicate with through http requests. I want to communicate with the
> kernel through emacs to execute  code blocks, inspect things, get completion
> targets, and to interrupt the kernel.  I haven't found any specific
> documentation that suggests this exists though.
>
> I am familiar with the EIN project, but it does not seem to work for me. I
> also know of the ob-ipython project. I currently use that, but it has its
> own python driver to create a web server attached to a kernel. It does not
> support completion or interruption though, and it isn't obvious how to
> extend it.
>
> Thanks!
>
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[jupyter] command line ipython kernel incantation / API?

[John Kitchin]

Hi,

I was wondering if there is a command to start an ipython kernel that you 
can communicate with through http requests. I want to communicate with the 
kernel through emacs to execute  code blocks, inspect things, get 
completion targets, and to interrupt the kernel.  I haven't found any 
specific documentation that suggests this exists though.

I am familiar with the EIN project, but it does not seem to work for me. I 
also know of the ob-ipython project. I currently use that, but it has its 
own python driver to create a web server attached to a kernel. It does not 
support completion or interruption though, and it isn't obvious how to 
extend it.

Thanks!

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Re: [jupyter] Syncronize Code Between Jupyter and External Scripts

[Brian Granger]

I think the best way to start playing with this is to build it as an
extension, and use notebook metadata that tracks separate file should
be pointed to by a given cell. I completely agree this is an good
usage case.

On Sat, Jun 3, 2017 at 11:19 AM, Utkonos  wrote:
> I have been running into the following problem with regards to developing in
> Jupyter and then deploying the code elsewhere. The code as deployed may have
> a bug or change that needs to occur, and then the code from the cell where
> it was located in the Jupyter notebook is now different and out of sync. I
> would like to know how to keep code in a cell synchronized with code outside
> in another file. I found the following question on StackOverflow that
> pertains to this problem exactly:
> https://stackoverflow.com/questions/38770604/synchronizing-code-between-jupyter-ipython-notebook-script-and-class-methods
>
> I will try this method of workflow, but I am curious whether there is a
> better mousetrap out there.
>
> Here is my alternative, and I'd like to know the feasibility of it and
> whether it's a good idea or not:
>
> There are multiple types of cell in Jupyter, and they behave differently. I
> am proposing a new type of cell called "Linked Snippet". A linked snippet
> cell would initially have a start and end line number and a file path. As
> long as the user the notebook is running as has write access the file path,
> the lines of code would be pulled into the cell. This code would be editable
> in jupyter, but would have the option of saving the contents of the cell and
> replacing the code between the two line numbers in the external file. This
> means no cells can overlap line numbers, and this would need to be enforced
> properly in Jupyter. Ideally, this would be bi-directional, and if the code
> in the external file changed, Jupyter would offer the user a chance to
> reload the cell before running. It also may need to change the line numbers
> that are syncronized at this point to make sure that the expected code is
> loaded into the cell.
>
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-- 
Brian E. Granger
Associate Professor of Physics and Data Science
Cal Poly State University, San Luis Obispo
@ellisonbg on Twitter and GitHub
bgran...@calpoly.edu and elliso...@gmail.com

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Re: [jupyter] SageMath 7.6 Deprecation Warning

[Matthias Bussonnier]

I believe this has been fixed if you upgrade jupyter_client.
-- 
M

On Sun, Jun 4, 2017 at 2:02 PM, Michael Shea  wrote:
> I am new to Jupyter and have been have finally been able to install and run
> the SageMath Kernel, however I am getting an annoying warning on cell
> execution that I think is slowing down execution.
>
> I am current running Arch Linux as a VMware guest on windows 10. I installed
> Jupyter with Anaconnda 3.  I have installed and registered the python 2
> kernel in Jupyter.
>
> I installed sagemath-kernel via pacman and successfully registered it via
> jupyter-kernelspec.
>
> Now, whenever I execute a Sage
>
> /usr/lib/python2.7/json/encoder.py:207: DeprecationWarning: Interpreting
> naive datetime as local 2017-06-03 22:23:23.879862. Please add timezone info
> to timestamps.
>   chunks = self.iterencode(o, _one_shot=True)
>
>
> Any suggestions.
>
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