如何从 Python 脚本管理多个 IPython/Jupyter 内核并与之通信? [英] How to manage and communicate with multiple IPython/Jupyter kernels from a Python script?

问题描述

我想模仿笔记本服务器的功能，而是从一个中央逻辑主体(即我自己的 Python 脚本)协调不同 IPython/Jupyter 内核的创建/管理.

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).

例如，我想:

• 定义一个抽象命令，例如添加(x，y)"
• 将抽象命令传达给多个内核，例如一个 IPython 内核和 Scala 内核
• 让每个内核按照自己的意愿执行命令
• 将每个内核的结果返回给逻辑的中央主体

谁能给我指出如何以编程方式启动/停止/与多个 IPython/Jupyter 内核通信的方向?

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

推荐答案

一个 KernelManager 处理启动和停止单个内核，还有一个 MultiKernelManager 来协调多个内核.

A KernelManager deals with starting and stopping a single kernel, and there's a MultiKernelManager to co-ordinate more than one.

• http://ipython.org/ipython-doc/3/api/generated/IPython.kernel.manager.html
• http://ipython.org/ipython-doc/3/api/generated/IPython.kernel.multikernelmanager.html

然后您可以使用 .client() 方法来获取处理与内核通信的 KernelClient 实例:

Then you can use the .client() method to get a KernelClient instance which handles communications with a kernel:

• http://ipython.org/ipython-doc/3/api/generated/IPython.kernel.client.html

有关如何与内核通信的详细信息，请参阅消息规范文档.其中一些已被 KernelClient 抽象出来，但您可能需要了解其中的一些.

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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