Fast to start. Clean by design. Built to scale.

QuickStart is a lightweight, no-friction Python foundation for developers who want to move from idea → execution without getting buried in setup. It provides just enough structure to stay organized while remaining flexible enough for experimentation, automation, and production-ready systems.

Whether you're building workflows, CLI utilities, or reusable libraries, QuickStart keeps your codebase sharp, modular, and maintainable.

• Orchestrated workflows with Prefect
• Command-line tools with clear structure
• Reusable Python packages
• Automation pipelines and internal tooling

QuickStart follows three core principles:

• Clarity over clutter → Every file has a reason to exist
• Modularity first → Components are reusable and composable
• Separation of concerns → Logic, interfaces, and execution are cleanly divided

This makes it ideal for both learning modern Python architecture and shipping real-world systems efficiently.

# 1. Clone the repository
git clone <your-repo-url>

# 2. Create and activate virtual environment
python -m venv .venv
source .venv/bin/activate

# 3. Install dependencies (editable mode)
pip install -e .

# 4. Run the starter example
python 01_getting_started.py

.
├── 01_getting_started.py   # Intro Prefect flow
├── 02_logging.py           # Logging + stdout capture
├── pyproject.toml          # Dependencies & metadata
└── README.md               # Documentation

Run examples directly:

python 01_getting_started.py
python 02_logging.py

Maintain code quality with:

black .
ruff check .
mypy .

from prefect import flow, task

@task
def step():
    return "processed"

@flow
def pipeline():
    return step()

Run it:

python 01_getting_started.py

Install locally for development:

pip install -e .

• Testing-ready structure
• Linting (ruff)
• Formatting (black)
• Type checking (mypy)
• Build-friendly configuration

fork → branch → commit → pull request → merge

MIT License

QuickStart is more than a template—it’s a disciplined baseline for building clean, scalable Python systems without unnecessary overhead. Start simple, stay organized, and grow without friction.