I’ve been trying to install
scipy in a Docker image for an old Raspberry Pi 2B. The problem comes when pip tries to install them, it takes so much time (or even fails). The Dockerfile that I’ve been using is:
FROM arm32v7/python:3.7-slim-buster # Keeps Python from generating .pyc files in the container ENV PYTHONDONTWRITEBYTECODE=1 # Turns off buffering for easier container logging ENV PYTHONUNBUFFERED=1 # Install pip requirements COPY requirements.txt . RUN pip install --no-cache-dir -r requirements.txt # Workdir WORKDIR /book # Switching to a non-root user RUN useradd appuser && chown -R appuser /book USER appuser # During debugging, this entry point will be overridden. CMD [ "jupyter", "notebook", "--no-mathjax", "--no-browser", "--port", "4000"]
I’ve tried to intall some libraries like
gcc, etc… but it didn’t work…
Installing those packages in the OS (Raspberry Pi OS Lite) is quite fast because pip makes use of the
armhf packages. Another option I tried was to use
raspbian/stretch, but it comes with Python 3.5 and
Python => 3.7. And installing a major version of Python makes the container too big (1GB more or less)…
So, is there any way to deal with the pip install issue?
Thank you so much!
Source: Docker Questions