cookiecutter-django

(β˜… 13,597)

Cookiecutter Django is a framework for jumpstarting production-ready Django projects quickly.

  • .editorconfig
  • .gitattributes
  • .gitignore
  • .pre-commit-config.yaml
  • .pyup.yml
  • .readthedocs.yaml
  • AGENTS.md
  • CHANGELOG.md
  • CODE_OF_CONDUCT.md
  • CONTRIBUTING.md
  • CONTRIBUTORS.md
  • cookiecutter.json
  • LICENSE
  • pyproject.toml
  • README.md
  • SECURITY.md
  • tox.ini
  • uv.lock

# Installation Guide

1. Get the code
git clone https://github.com/cookiecutter/cookiecutter-django

Downloads the entire project code from GitHub to your computer.

cd cookiecutter-django

Moves into the project folder you just downloaded.

2. Docker

Easy Recommended
Prerequisites
  • Git Needed to download the project code from GitHub.
  • Docker Desktop Needed to build and run containers. Install it and keep it running in the background.
docker compose -f {{cookiecutter.project_slug}}/docker-compose.docs.yml up -d --build

Runs the command against the services defined in the compose file.

βœ… Run docker compose ps to check the containers are Up. If the README mentions a port, open http://localhost:PORT in your browser.

3. Node.js

Easy
Prerequisites
  • Git Needed to download the project code from GitHub.
  • Node.js Node.js must be installed to use npm. The LTS version is recommended.
cd {{cookiecutter.project_slug}}

This project's files live in a subfolder, so move into it first.

npm install

Downloads and installs the libraries listed in package.json.

npm start

Starts the development/run server.

βœ… After running the command, open the address shown in the terminal (usually something like http://localhost:3000) in your browser.

4. Python

Easy
Prerequisites
  • Git Needed to download the project code from GitHub.
  • Python 3 On Windows, be sure to check 'Add Python to PATH' during installation.
pip install .

Installs the package published on PyPI directly β€” no need to clone the source.

python <μ‹€ν–‰ν•  파일λͺ…>.py # READMEμ—μ„œ μ •ν™•ν•œ μ‹€ν–‰ 파일λͺ…을 ν™•μΈν•˜μ„Έμš”

Runs the Python script (or module).

βœ… If it runs without errors and prints output in the terminal, it worked.
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