python
Use when configuring dev containers for Python projects. Covers the Python feature, virtual environments, tool installation, JupyterLab, and linter/formatter setup. USE FOR: Python dev container setup, Python feature configuration, virtual environments, JupyterLab, pip/uv/poetry tooling DO NOT USE FOR: .NET dev containers (use dotnet), TypeScript dev containers (use typescript), general devcontainer.json (use devcontainer)
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- 저장소
- Tyler-R-Kendrick/agent-skills
- 최근 소스 활동
- 2026년 2월 11일 05:14
- 감지된 SKILL.md 언어
- 영어
- 스타
- 12
- 포크
- 4
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소스 지침 · 읽기 전용 미리보기- name
- python
- description
- Use when configuring dev containers for Python projects. Covers the Python feature, virtual environments, tool installation, JupyterLab, and linter/formatter setup. USE FOR: Python dev container setup, Python feature configuration, virtual environments, JupyterLab, pip/uv/poetry tooling DO NOT USE FOR: .NET dev containers (use dotnet), TypeScript dev containers (use typescript), general devcontainer.json (use devcontainer)
- license
- MIT
- metadata
- {"displayName":"Dev Container — Python","author":"Tyler-R-Kendrick"}
- compatibility
- claude, copilot, cursor
- references
- [{"title":"Dev Containers Specification","url":"https://containers.dev/"},{"title":"Python Official Documentation","url":"https://docs.python.org/3/"}]
# Dev Container — Python
## Overview
Configure a dev container for Python development using the official Python feature or base image. Supports version selection, tool installation via pipx, virtual environments, and JupyterLab.
## Python Feature
```jsonc
{
"features": {
"ghcr.io/devcontainers/features/python:1": {
"version": "3.12"
}
}
}
```
### Feature Options
| Option | Default | Description |
|--------|---------|-------------|
| `version` | `latest` | Python version (`3.12`, `3.11`, `latest`, `os-provided`, `none`) |
| `installTools` | `true` | Install tools listed in `toolsToInstall` via pipx |
| `toolsToInstall` | `flake8,autopep8,black,yapf,mypy,pydocstyle,pycodestyle,bandit,pipenv,virtualenv,pytest,pylint` | Comma-separated tools |
| `installJupyterlab` | `false` | Install JupyterLab |
| `optimize` | `false` | Compile Python with optimizations (slower build) |
| `installPath` | `/usr/local/python` | Installation directory |
## Full Example
```jsonc
{
"name": "Python 3.12 Development",
"image": "mcr.microsoft.com/devcontainers/python:3.12",
"features": {
"ghcr.io/devcontainers/features/github-cli:1": {}
},
"forwardPorts": [8000],
"portsAttributes": {
"8000": { "label": "App", "onAutoForward": "notify" },
"8888": { "label": "Jupyter", "onAutoForward": "notify" }
},
"postCreateCommand": "pip install -r requirements.txt",
"customizations": {
"vscode": {
"extensions": [
"ms-python.python",
"ms-python.vscode-pylance",
"ms-python.black-formatter",
"charliermarsh.ruff"
],
"settings": {
"python.defaultInterpreterPath": "/usr/local/bin/python",
"[python]": {
"editor.defaultFormatter": "charliermarsh.ruff",
"editor.formatOnSave": true
}
}
}
}
}
```
## Using the Base Image vs Feature
| Approach | When to Use |
|----------|-------------|
| `"image": "mcr.microsoft.com/devcontainers/python:3.12"` | Python-only projects |
| Base image + `ghcr.io/devcontainers/features/python:1` | Multi-language projects |
## Virtual Environments
```jsonc
{
"postCreateCommand": "python -m venv .venv && . .venv/bin/activate && pip install -r requirements.txt",
"containerEnv": {
"VIRTUAL_ENV": "/workspace/.venv",
"PATH": "/workspace/.venv/bin:${containerEnv:PATH}"
}
}
```
## JupyterLab
```jsonc
{
"features": {
"ghcr.io/devcontainers/features/python:1": {
"version": "3.12",
"installJupyterlab": true
}
},
"forwardPorts": [8888],
"postStartCommand": "jupyter lab --ip=0.0.0.0 --no-browser --NotebookApp.token=''"
}
```
## Poetry / uv / PDM
For modern package managers, install them in `postCreateCommand`:
```jsonc
{
"postCreateCommand": "pip install uv && uv sync",
"containerEnv": {
"UV_LINK_MODE": "copy"
}
}
```
## Best Practices
- Use the dedicated `mcr.microsoft.com/devcontainers/python` image for Python-only projects.
- Pin the Python version to a minor release (`3.12`, `3.11`) for reproducibility.
- Prefer Ruff over separate flake8/black installs — it replaces multiple tools with a single fast one.
- Use `postCreateCommand` for `pip install` so dependencies are cached in Codespaces prebuilds.
- Set `python.defaultInterpreterPath` in VS Code settings to avoid interpreter selection prompts.
- For data science projects, enable `installJupyterlab` in the feature and forward port 8888.
- Use `containerEnv` to configure `VIRTUAL_ENV` if your project expects a venv.
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