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
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:
- python 3
pip install jupyter-c-kernel
Example of notebook
Custom compilation flags
You can use custom compilation flags like so:
-lm flag is passed so you can use the math library.
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
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