How to create a Devcontainer for your Python project 🐳
summary
Claim: a reproducible development environment is fully defined and runnable with just two files and a base image. Tools actually used: Docker, VS Code (VS Code server), a Dockerfile plus devcontainer.json, Java and Python for PySpark, pytest, and a GitHub Action to run CI; outcome: the container opens in VS Code, Node/VS Code server and Java are present, workspace mounts work and port 4040 is exposed for Spark UI. Result: a sharable image that rebuilds cleanly and runs tests in CI.
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chapters (9)
- 0:00Introduction to dev containers
- 1:57Common development challenges
- 7:51Benefits of containerization
- 11:23Setting up the project
- 17:16How dev containers work
- 20:55Streamlining setup
- 22:55Extending container features
- 28:26Future and remote workflows
- 31:00Closing and Q&A
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