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Answer from AI

In my projects, I used Docker for containerization, which allowed creating isolated and reproducible environments for development and production. For example, I created Dockerfiles for Python applications to package dependencies and run services in containers, simplifying deployment and scaling.

Tasks solved with Docker:

  • Automating application and service deployment.
  • Environment isolation to avoid dependency conflicts.
  • Using Docker Compose to run multiple related containers (e.g., web server + database).
  • Testing code in an environment close to production.

Example of a simple Dockerfile for a Python app:

FROM python:3.9-slim
WORKDIR /app
COPY requirements.txt ./
RUN pip install -r requirements.txt
COPY . .
CMD ["python", "app.py"]