Chris Chen
Posted on February 16, 2022
I've been using docker-compose instead of venv module for Python development for a while. Here is my go-to setup, please feel free to give me some suggestions and comments!
Folder Structure
Dockefile
# base image
FROM python:3.10
# install packages
RUN apt-get update \
&& apt-get upgrade -y
RUN apt-get install -y \
vim \
curl \
pandoc \
texlive-xetex \
texlive-fonts-recommended \
texlive-plain-generic
# create user and home directory
RUN useradd -m -d /home/devuser -s /bin/bash devuser
USER devuser
ENV PATH=/home/devuser/.local/bin:$PATH
# upgrade pip and install python packages
RUN /usr/local/bin/python -m pip install --upgrade pip
COPY requirements.txt .
RUN pip3 install --no-cache-dir -r requirements.txt
docker-compose.yml
version: '3.8'
services:
jupyterlab:
container_name: jupyterlab
build: .
ports:
# for jupyter lab
- 8888:8888
volumes:
- ./src:/home/devuser/src
working_dir: /home/devuser/src
command: jupyter lab --port=8888 --ip=0.0.0.0
And then just docker-compose up -d --build, you'll have your docker container up and running!
To get the url or token for jupyter lab, simply run docker logs jupyterlab
This is how I like to setup my Python environment for data processing-related project.
💖 💪 🙅 🚩
Chris Chen
Posted on February 16, 2022
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