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I want to mimic the functionality of a notebook server, and instead coordinate the creation/management of different IPython/Jupyter kernels from a central body of logic (i.e. my own Python script).
For example, I want to:
Can anyone point me in the direction of how to programmatically start/stop/communicate with multiple IPython/Jupyter kernels?
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SoS Notebook is an extension to Jupyter Notebook that allows the use of multiple kernels in one notebook. More importantly, it allows the exchange of data among subkernels so that you can, for example, preprocess data using Bash, analyze the processed data in Python, and plot the results in R.
IPython continued to exist as a Python shell and kernel for Jupyter, but the notebook interface and other language-agnostic parts of IPython were moved under the Jupyter name. Jupyter is language agnostic and its name is a reference to core programming languages supported by Jupyter, which are Julia, Python, and R.
In addition, IPython is closely tied with the Jupyter project, which provides a browser-based notebook that is useful for development, collaboration, sharing, and even publication of data science results.
A KernelManager deals with starting and stopping a single kernel, and there's a MultiKernelManager to co-ordinate more than one.
Then you can use the .client() method to get a KernelClient instance which handles communications with a kernel:
For details of how you communicate with a kernel, see the message spec docs. Some of this is abstracted away by KernelClient, but you'll probably need to know some of it.
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