Setup a python development environment in docker

.env.devenv

local_pg={"host":"localhost","port": 5432,"database":"local_pg","user":"local_pg","password":"local_pg"}

dockerfile.devenv

# call the operating system to be used
FROM python:3.9.7-slim

# Install the linux libraries needed
RUN apt-get update

# set a directory for the app
WORKDIR /devenv

# Copy all the necessary files to the container
COPY /requirements.txt /devenv

# install necessary packages using the requirements.txt
RUN pip install -r requirements.txt

# launch the notebook as the entrypoint
CMD sh -c 'jupyter lab --ip=0.0.0.0 --port=8888 --no-browser --notebook-dir=/devenv --allow-root --NotebookApp.token='' --NotebookApp.password='' '

requirements.txt

pandas
numpy
jupyterlab

setup_devenv.ps1

# define environment name
$name = "devenv-test1"
# define python version - this should match version set in dockerfile.devenv
$version = "py3.9.7"
# define the port for this specific environment
$port = 5000

# build image of development environment
docker build -f dockerfile.devenv -t ${name}:${version} .

# run container based on built image
docker run -d `
	--name=${name} `
	--restart=unless-stopped `
	--env-file=.env.devenv `
	-v ${pwd}:/devenv `
	-p ${port}:8888 `
	${name}:${version}

# keep window open
Read-Host -Prompt "Press Enter to exit"

setup_devenv.sh

# define environment name
name="devenv-test1"
# define python version - this should match version set in dockerfile.devenv
version="py3.9.7"
# define the port for this specific environment
port=5000

# build image of development environment
docker build -f dockerfile.devenv -t ${name}:${version} .

# run container based on built image
docker run -d \
	--name=${name} \
	--restart=unless-stopped \
	--env-file=.env.devenv \
	-v ${pwd}:/devenv \
	-p ${port}:8888 \
	${name}:${version}


# keep window open
read