I wanted to do something with this Raspberry Pi 4 I had lying around.
Figured I would try to get JupyterHub going on it, maybe with a c kernel for my students to use.
Turns out there are a few issues getting jupyterhub built for ARMv7.
Anyhow the primary thing is that the rust toolchain must be installed in order to build the cryptography python module, and that when installing in a docker container the --sys-prefix must be passed to install_c_kernel.
Here’s a working Dockerfile that does just that.
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LABEL maintainer="Brian Chen<brianchen.chen@mail.utoronto.ca"
FROM arm32v7/python:3.9-bullseye
# Set the variables
ENV DEBIAN_FRONTEND noninteractive
WORKDIR /root
USER root
RUN echo "CHANGEME" | passwd --stdin root
# Install both Python 2 and 3
RUN apt-get update && apt-get upgrade && apt-get install -y python-dev \
python3-dev \
python3-pip \
build-essential\
libssl-dev \
libffi-dev \
python-dev \
ca-certificates \
libncurses5-dev \
curl \
bash \
nodejs \
npm
# needed for python cryptography
RUN apt-get install -y rustc
# jupyterhub dependencies
RUN pip3 install --upgrade pip
RUN pip3 install cryptography
RUN pip3 install readline jupyter jupyterhub jupyterlab notebook
RUN npm install -g configurable-http-proxy
# Fix Python3 kernel since IPykernel 5.0.0 has dependency issues.
RUN pip3 install "ipykernel==4.10.0" --force-reinstall
# jupyter c kernel
RUN pip3 install jupyter-c-kernel
RUN install_c_kernel --sys-prefix
COPY jupyterhub_config.py jupyterhub_config.py
EXPOSE 8000
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But turns out my ISP doesn’t provide me with a static IP address … so binder it is.
The neat thing about binder is that it spins up an ephemeral Jupyter instance in a docker container, the requirements/environment for which you can specify with a requirements.txt, etc.
Or you can just provide a Dockerfile that meets the requirements.
Here as a working minimal Dockerfile for a binder instance with the jupyter-c-kernel set up that will work on binder.
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FROM python:3.9-slim
MAINTAINER Brian Chen <brianchen.chen@mail.utoronto.ca
RUN apt-get update && apt-get install -y build-essential
RUN pip install --no-cache --upgrade pip && \
pip install --no-cache notebook jupyterlab jupyter-c-kernel jupyterhub
ARG NB_USER=jovyan
ARG NB_UID=1000
ENV USER ${NB_USER}
ENV NB_UID ${NB_UID}
ENV HOME /home/${NB_USER}
RUN adduser --disabled-password \
--gecos "Default user" \
--uid ${NB_UID} \
${NB_USER}
RUN install_c_kernel
COPY . ${HOME}
USER root
RUN chown -R ${NB_UID} ${HOME}
USER ${NB_USER}
WORKDIR ${HOME}
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I ended up using this to set up an interactive \( c \) environment for my students to do some practice problems for their final exam with (see here)