Mastering Application Development using Python

A comprehensive workshop on Python, SQL, Docker, MongoDB, and more for Beginners via hands-on practice.

Setup self-support lab for hands-on practice

Here are the instructions to set up self-support integrated lab with the material to learn Python.

• Clone GitHub repository

git clone https://github.com/itversity/mastering-app-development-python

• Open the project using Pycharm
• Create folder by name itvdbpg_volume in the project directory for Postgres database.
• Create Docker network.

docker network create itvlabnw

• Start the lab environment using docker compose up -d. It will bring up the docker containers for both database as well jupyterlab by building required images.
• Login into the Jupyter Lab environment using the token. You need to go to http://localhost:8888 using browser. Make sure to get the token using below command to complete the login.

docker compose exec itvlab cat .local/share/jupyter/runtime/jpserver-1.json

• Managing the lab environment using docker compose

# Teardown the complete enviroment
# Below command deletes volumes and images.
docker compose down -v --rmi all

# Bring up the environment by rebuilding the images
# Make sure to add build whenever there are changes to Docker related files.
docker compose up -d --build

# Review current state of the containers related to docker compose file
docker compose ps

• Connect to the containers via bash

docker compose exec itvlab bash
docker compose exec itvdbpg bash

# Connecting to Postgres Database as superuser
docker compose exec itvdbpg psql -U postgres