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@@ -8,6 +8,7 @@ A collection of best-practice guides for coding in Python and Rust, maintained b
 |-------|-------------|
 | [Python Guidelines](python/best-practices.md) | Common guidelines for writing clean, idiomatic Python |
 | [Python Logging](docs/logging.md) | Logging configuration, log levels, and structured logging |
+| [Docker for Python](docs/docker.md) | Dockerfiles, multi-stage builds, Compose, and common pitfalls |
 | Rust Guidelines *(coming soon)* | Best practices for safe, performant Rust code |
 
 ## Contributing
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+# Docker for Python Development
+
+A concise guide to using Docker effectively in Python projects — from writing lean Dockerfiles to local development with Compose.
+
+---
+
+## Table of Contents
+
+1. [Why Use Docker for Python Development](#1-why-use-docker-for-python-development)
+2. [Writing a Good Dockerfile](#2-writing-a-good-dockerfile)
+3. [Managing Dependencies](#3-managing-dependencies)
+4. [Docker Compose for Local Development](#4-docker-compose-for-local-development)
+5. [Common Pitfalls](#5-common-pitfalls)
+6. [Production-Ready Dockerfile Example](#6-production-ready-dockerfile-example)
+
+---
+
+## 1. Why Use Docker for Python Development
+
+Python's flexibility is also a source of friction: different machines carry different Python versions, conflicting system packages, and subtly different environments. Docker solves this by packaging your application with everything it needs to run — interpreter, dependencies, config — into a portable image.
+
+**Reproducibility.** "Works on my machine" stops being an excuse. Every developer, CI runner, and production host boots the exact same filesystem snapshot.
+
+**Isolation.** Each project runs in its own container. No more fighting over conflicting package versions between projects, and no risk of one project's `pip install` polluting another's environment.
+
+**CI/CD parity.** Your test suite runs inside the same image that ships to production. If it passes in CI, it will behave the same way when deployed — no more "but the CI environment is different" surprises.
+
+---
+
+## 2. Writing a Good Dockerfile
+
+### Choose a slim base image
+
+The official `python` images come in several flavours. Prefer `python:<version>-slim` for most use cases — it is a stripped-down Debian image that is roughly 50 MB vs ~350 MB for the full image.
+
+```dockerfile
+# Good — lean runtime base
+FROM python:3.12-slim
+
+# Avoid unless you specifically need OS-level build tools
+# FROM python:3.12
+```
+
+> **Tip:** Pin the minor version (`3.12-slim`, not `3-slim`) so a base-image update never silently changes your Python version.
+
+### Use multi-stage builds
+
+Multi-stage builds let you compile or install build-time tools in one stage and copy only the final artefacts into a clean runtime stage. The result is a smaller, more secure image — build tools like `gcc`, `git`, or `pip-tools` never end up in production.
+
+```dockerfile
+# ── Stage 1: build ────────────────────────────────────────────────────────────
+FROM python:3.12-slim AS builder
+
+WORKDIR /build
+
+# Pin uv to a specific version for reproducible builds
+# (check https://github.com/astral-sh/uv/releases for the latest stable)
+COPY --from=ghcr.io/astral-sh/uv:0.5.0 /uv /usr/local/bin/uv
+
+# Install dependencies first — this layer is cached unless the lock file changes
+COPY pyproject.toml uv.lock ./
+RUN uv sync --frozen --no-dev --no-install-project
+
+# Copy source and install the project into the venv
+COPY src/ ./src/
+RUN uv sync --frozen --no-dev
+
+# ── Stage 2: runtime ──────────────────────────────────────────────────────────
+FROM python:3.12-slim AS runtime
+
+WORKDIR /app
+
+# The venv already contains the installed project — no separate COPY src/ needed
+COPY --from=builder /build/.venv /app/.venv
+ENV PATH="/app/.venv/bin:$PATH"
+
+CMD ["python", "-m", "myapp"]
+```
+
+### Leverage layer caching
+
+Docker rebuilds a layer only when its inputs change. Copy dependency files **before** application source code so that a code-only change does not re-install all packages.
+
+```dockerfile
+# Good — dependencies are cached unless pyproject.toml / uv.lock changes
+COPY pyproject.toml uv.lock ./
+RUN uv sync --frozen --no-dev
+
+COPY src/ ./src/
+
+# Bad — any code change invalidates the package install layer
+# COPY . .
+# RUN uv sync --frozen --no-dev
+```
+
+### Set Python environment variables
+
+Two environment variables should almost always be set in a Python Dockerfile:
+
+```dockerfile
+# Prevent Python from writing .pyc files (no benefit in a container)
+ENV PYTHONDONTWRITEBYTECODE=1
+
+# Ensure stdout/stderr are unbuffered so logs appear immediately
+ENV PYTHONUNBUFFERED=1
+```
+
+---
+
+## 3. Managing Dependencies
+
+### Choosing a dependency tool
+
+| Tool | Use case | Lockfile |
+|------|----------|----------|
+| `uv` | Recommended for all new projects | `uv.lock` |
+| `pip-tools` | Legacy projects or teams already using it | `requirements.txt` (compiled) |
+| `pip freeze` | Quick scripts only | None |
+
+**`uv` (recommended).** Generate a `uv.lock` file by running `uv sync`. In your Dockerfile, pass `--frozen` to ensure the exact locked versions are installed:
+
+```dockerfile
+RUN uv sync --frozen --no-dev
+```
+
+**`pip-tools`.** Compile a pinned `requirements.txt` from `requirements.in` and commit both files:
+
+```bash
+pip-compile requirements.in -o requirements.txt
+```
+
+```dockerfile
+COPY requirements.txt .
+RUN pip install --no-cache-dir -r requirements.txt
+```
+
+**Avoid bare `pip freeze`** for anything beyond a throwaway script — it captures the entire environment, including transitive dev tools, and provides no dependency resolution.
+
+### Copy requirements before source code
+
+Regardless of the tool you use, always copy dependency files before copying application code. This keeps the expensive "install packages" layer cached across most builds:
+
+```dockerfile
+# 1. Dependencies (cached unless lock file changes)
+COPY pyproject.toml uv.lock ./
+RUN uv sync --frozen --no-dev
+
+# 2. Application code (invalidates only the layers below this line)
+COPY src/ ./src/
+```
+
+---
+
+## 4. Docker Compose for Local Development
+
+Docker Compose is the standard tool for running multi-container local environments (app + database + cache, etc.). For development, the key addition over a plain `docker run` is **volume mounts** — your local source tree is mounted into the container so code changes take effect without rebuilding the image.
+
+### Basic `compose.yaml`
+
+```yaml
+services:
+  app:
+    build: .
+    volumes:
+      # Mount source code for hot-reload
+      - ./src:/app/src
+    ports:
+      - "8000:8000"
+    environment:
+      - LOG_LEVEL=DEBUG
+    depends_on:
+      - db
+
+  db:
+    image: postgres:16-alpine
+    environment:
+      POSTGRES_USER: dev
+      POSTGRES_PASSWORD: dev
+      POSTGRES_DB: myapp
+    volumes:
+      - postgres_data:/var/lib/postgresql/data
+
+volumes:
+  postgres_data:
+```
+
+### Development overrides
+
+Keep production-safe defaults in `compose.yaml` and layer development-specific settings (hot reload, debug ports, relaxed timeouts) in a `compose.override.yaml` file. Docker Compose merges the two automatically when you run `docker compose up`:
+
+```yaml
+# compose.override.yaml  (not committed, or committed with dev-only values)
+services:
+  app:
+    command: ["uvicorn", "myapp.main:app", "--host", "0.0.0.0", "--reload"]
+    environment:
+      - DEBUG=true
+```
+
+> **Tip:** Add `compose.override.yaml` to `.gitignore` if it contains local paths or secrets. Provide a `compose.override.yaml.example` that teammates can copy.
+
+---
+
+## 5. Common Pitfalls
+
+### Running as root
+
+By default, processes in a Docker container run as root. If your container is compromised, an attacker gains root-level access to the container filesystem (and potentially the host, if volumes are mounted). Always create and switch to a non-root user:
+
+```dockerfile
+RUN useradd --create-home --shell /bin/bash appuser
+USER appuser
+```
+
+### Bloated images
+
+Common causes of unnecessarily large images:
+
+- Using `python:3.12` instead of `python:3.12-slim`
+- Leaving build tools (`gcc`, `git`, `curl`) in the final stage — use multi-stage builds
+- Copying the entire repository with `COPY . .` instead of only what is needed
+- Not cleaning up apt caches after installing OS packages:
+
+```dockerfile
+# Always clean up in the same RUN layer to avoid storing the cache in a layer
+RUN apt-get update && apt-get install -y --no-install-recommends \
+    libpq-dev \
+    && rm -rf /var/lib/apt/lists/*
+```
+
+### Missing `.dockerignore`
+
+Without a `.dockerignore`, `COPY . .` sends your entire working directory to the Docker daemon — including `.git/`, `__pycache__/`, `.venv/`, test fixtures, and secrets. Create a `.dockerignore` alongside your `Dockerfile`:
+
+```
+.git/
+.venv/
+__pycache__/
+*.pyc
+*.pyo
+.pytest_cache/
+.ruff_cache/
+.mypy_cache/
+htmlcov/
+dist/
+build/
+.env
+.env.*
+compose.override.yaml
+```
+
+### Ignoring `PYTHONUNBUFFERED`
+
+Without `ENV PYTHONUNBUFFERED=1`, Python buffers stdout. In a container, this means log output may not appear until the buffer flushes — or at all if the container crashes. Always set this variable.
+
+---
+
+## 6. Production-Ready Dockerfile Example
+
+A complete example using multi-stage builds, `uv`, a non-root user, and sensible environment defaults.
+
+```dockerfile
+# .dockerignore should exist alongside this file — see Section 5.
+
+# ── Stage 1: install dependencies ────────────────────────────────────────────
+FROM python:3.12-slim AS builder
+
+WORKDIR /build
+
+ENV PYTHONDONTWRITEBYTECODE=1 \
+    PYTHONUNBUFFERED=1
+
+# Pin uv to a specific version for reproducible builds
+# (check https://github.com/astral-sh/uv/releases for the latest stable)
+COPY --from=ghcr.io/astral-sh/uv:0.5.0 /uv /usr/local/bin/uv
+
+# 1) Install third-party dependencies only — layer is cached unless lock file changes
+COPY pyproject.toml uv.lock ./
+RUN uv sync --frozen --no-dev --no-install-project
+
+# 2) Copy source and install the project itself into the venv
+COPY src/ ./src/
+RUN uv sync --frozen --no-dev
+
+# ── Stage 2: runtime image ────────────────────────────────────────────────────
+FROM python:3.12-slim AS runtime
+
+WORKDIR /app
+
+ENV PYTHONDONTWRITEBYTECODE=1 \
+    PYTHONUNBUFFERED=1 \
+    PATH="/app/.venv/bin:$PATH"
+
+# Create the non-root user before copying files so we can assign ownership
+RUN useradd --create-home --shell /bin/bash appuser
+
+# Copy virtualenv (project installed inside) with correct ownership
+COPY --from=builder --chown=appuser:appuser /build/.venv /app/.venv
+
+# Switch to non-root user
+USER appuser
+
+EXPOSE 8000
+
+CMD ["uvicorn", "myapp.main:app", "--host", "0.0.0.0", "--port", "8000"]
+```
+
+---
+
+## Further Reading
+
+- [Docker Documentation — Dockerfile best practices](https://docs.docker.com/build/building/best-practices/)
+- [Docker Documentation — Multi-stage builds](https://docs.docker.com/build/building/multi-stage/)
+- [uv — Docker integration guide](https://docs.astral.sh/uv/guides/integration/docker/)
+- [Docker Compose — Getting started](https://docs.docker.com/compose/gettingstarted/)