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，而是从逻辑中心（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：

• 定义抽象命令，例如add（x，y）


• 将抽象命令传递给多个内核，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


• 将结果从每个内核返回到逻辑的中心体

• 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

有人能指出我如何以编程方式启动/停止/与多个IPython / Jupyter内核通信吗？

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

推荐答案

KernelManager处理启动和停止单个内核，并且有一个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

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

然后你可以使用 .client（）获取处理与内核通信的KernelClient实例的方法：

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

• 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。其中一些是由KernelClient抽象出来的，但你可能需要了解一些。

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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