Docker Guide for Data Scientists

Table of Contents

1. Docker Basics

What is Docker?

Docker is a platform for developing, shipping, and running applications in containers.

Key Concepts

• Image: Blueprint for creating containers
• Container: Running instance of an image
• Dockerfile: Instructions for building images
• Docker Hub: Repository for sharing images

2. Docker Images

# Pull an image
docker pull python:3.9

# List images
docker images

# Remove an image
docker rmi python:3.9

3. Containers

# Run a container
docker run -it python:3.9 bash

# Run in background
docker run -d -p 8000:8000 my-app

# List running containers
docker ps

# Stop a container
docker stop container_id

4. Dockerfile

# Dockerfile
FROM python:3.9-slim

WORKDIR /app

COPY requirements.txt .
RUN pip install -r requirements.txt

COPY . .

CMD ["python", "app.py"]

5. Docker Compose

# docker-compose.yml
version: '3.8'
services:
  web:
    build: .
    ports:
      - "8000:8000"
    depends_on:
      - db
  db:
    image: postgres:13
    environment:
      POSTGRES_PASSWORD: password

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