MLOps Project Initialization

MLOps project initialization with uv/git/VS Code best practices

MLOps 项目初始化 🚀

Setup new MLOps projects with modern Python toolchain.

Features

1. Project Initialization 📦

Create complete project structure:

bash

./scripts/init-project.sh my-mlops-project

Creates:

• src/ layout
• pyproject.toml with uv
• .gitignore (Python/MLOps)
• .vscode/settings.json
• Git repository

2. Configuration Templates 📋

Copy reference configs:

bash

# pyproject.toml template
cp references/pyproject.toml ../your-project/

# VS Code settings
cp references/vscode-settings.json ../your-project/.vscode/

Quick Start

bash

# Initialize new project
./scripts/init-project.sh my-project
cd my-project

# Add dependencies
uv add pandas numpy scikit-learn

# Sync environment
uv sync

# Verify
uv run python -c "import sys; print(sys.executable)"

What You Get

• ✅ src/ package layout
• ✅ Locked dependencies (uv.lock)
• ✅ Ruff + MyPy configured
• ✅ VS Code settings
• ✅ Git repository

References

• references/pyproject.toml - Full config example
• references/vscode-settings.json - IDE settings

Author

Converted from MLOps Coding Course

Changelog

v1.0.0 (2026-02-18)

• Initial OpenClaw conversion
• Added init script
• Added reference configs