Docker in Python? - with practical example

Introduction: Docker is a platform that allows you to develop, ship, and run applications inside containers. This means you can package your code and all its dependencies into a single unit, making it easier to deploy and manage your applications. Example 1: Setting up a Python environment using Docker Step 1: Create a Dockerfile 
Dockerfile
FROM python:3.8
WORKDIR /app
COPY . /app
RUN pip install -r requirements.txt
CMD ["python", "app.py"]

Step 2: Build the Docker image 
docker build -t my-python-app .

Step 3: Run the Docker container 
docker run my-python-app

Explanation: In this example, we create a Dockerfile that sets up a Python environment, copies our code into the container, installs the necessary dependencies, and specifies the command to run our application. Example 2: Running a Flask app in a Docker container Step 1: Create a Flask app 
from flask import Flask
app = Flask(__name__)

@app.route('/')
def hello():
    return 'Hello, Docker!'

if __name__ == '__main__':
    app.run(host='0.0.0.0')

Step 2: Create a Dockerfile 
Dockerfile
FROM python:3.8
WORKDIR /app
COPY . /app
RUN pip install Flask
CMD ["python", "app.py"]

Step 3: Build and run the Docker container 
docker build -t my-flask-app .
docker run -p 5000:5000 my-flask-app

Explanation: In this example, we create a simple Flask app and a Dockerfile to set up a Flask environment inside a Docker container. We then build the image and run the container, mapping port 5000 on the host machine to port 5000 in the container. This allows us to access our Flask app running inside the Docker container.

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