How to manage and communicate with multiple IPytho

2019-02-14 07:04发布

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:

  • Define an abstract command e.g. "add(x, y)"
  • Communicate the abstract command to multiple kernels e.g. an IPython kernel and Scala kernel
  • Have each kernel execute the command however they wish
  • Return the result from each kernel to the central body of logic

Can anyone point me in the direction of how to programmatically start/stop/communicate with multiple IPython/Jupyter kernels?

1条回答
Explosion°爆炸
2楼-- · 2019-02-14 07:15

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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