使用Docker容器运行jupyter

jupyter运行c

cd jupyter-c-kernel
docker run -v $(pwd):/jupyter/jupyter_c_kernel/ -v /home/jovyan/work:/home/jovyan/work -p 8888:8888 brendanrius/jupyter-c-kernel
#注意给/home/jovyan/work权限

Minimal C kernel for Jupyter

Use with Docker (recommended)

• docker pull brendanrius/jupyter-c-kernel
• docker run -p 8888:8888 brendanrius/jupyter-c-kernel
• Copy the given URL containing the token, and browse to it. For instance:

Copy/paste this URL into your browser when you connect for the first time,
to login with a token:
   http://localhost:8888/?token=66750c80bd0788f6ba15760aadz53beb9a9fb4cf8ac15ce8

Manual installation

Works only on Linux and OS X. Windows is not supported yet. If you want to use this project on Windows, please use Docker.

• Make sure you have the following requirements installed:
• gcc
• jupyter
• python 3
• pip

Step-by-step:

• pip install jupyter-c-kernel
• install_c_kernel
• jupyter-notebook. Enjoy!

Example of notebook

Custom compilation flags

You can use custom compilation flags like so:

Here, the -lm flag is passed so you can use the math library.

Contributing

The docker image installs the kernel in editable mode, meaning that you can
change the code in real-time in Docker. For that, just run the docker box like
that:

git clone https://github.com/brendan-rius/jupyter-c-kernel.git
cd jupyter-c-kernel
docker run -v $(pwd):/jupyter/jupyter_c_kernel/ -p 8888:8888 brendanrius/jupyter-c-kernel

This clones the source, run the kernel, and binds the current folder (the one
you just cloned) to the corresponding folder in Docker.
Now, if you change the source, it will be reflected in http://localhost:8888
instantly. Do not forget to click "restart" the kernel on the page as it does
not auto-restart.

docker仓库地址：https://hub.docker.com/r/brendanrius/jupyter-c-kernel
参考链接：https://www.cnblogs.com/AubeLiang/p/17569044.html
交互式C下载链接：https://root.cern.ch/download/cling/