Skip to content

A cookiecutter template for starting modern Python projects

Notifications You must be signed in to change notification settings

stribny/python-new-project

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

15 Commits
 
 
 
 
 
 
 
 

Repository files navigation

Cookiecutter template for starting new modern Python projects

This template allows you to easily setup new Python projects with the most important libraries and configuration files for managing dependencies and virtualenv, code formatting, debugging, testing, static code analysis and creating command-line interfaces.

You can use it as-is or fork and modify according to your preferences.

What is included in the template

The template will:

  • create pyproject.toml configuration file for managing project dependencies and virtualenv using Poetry
  • install typer and rich packages for creating command-line interfaces which are useful in many types of projects
  • install pysnooper and stackprinter for better debugging
  • install Pytest and create pytest.ini configuration file to point Pytest to tests/ folder
  • install Pytest-sugar plugin for nicer Pytest output
  • install Black for code formatting
  • install Flake8 for finding bugs
  • install MyPy for static type checking and create mypy.ini configuration file
  • install pre-commit to run Black, Flake8 checks before every commit
  • install bandit for security-related checks
  • create README.md README file
  • create .gitignore file
  • initialize new Git repository

How to use the template

This is a cookiecutter template.

To use it, make sure you have at least Python 3.7 and git installed.

Then install cookiecutter and poetry via pip:

pip install poetry --user
pip install cookiecutter --user

Then you can create a new Python project by running:

cookiecutter https://github.com/stribny/python-new-project

This will take you to a project setup asking for:

  • project_name, the Python package name and name of the project folder
  • project_description, the Python package description
  • human_name, the name that will be used in generated README file
  • author, the author of the package
  • python_version, the Python version that should be set for the project

The generated structure looks like this:

project_name/ 
└────   project_name/ 
   └────   __init__.py  
├────   .flake8  
├────   .git/ 
├────   .gitignore  
├────   mypy.ini  
├────   poetry.lock  
├────   .pre-commit-config.yaml  
├────   pyproject.toml  
├────   pytest.ini  
├────   README.md  
└────   tests/ 
   ├────   __init__.py  
   └────   test_project.py

Configuring MyPy

By default, MyPy will be installed in the project, but not added as a pre-commit hook. This is because pre-commit would run MyPy in a different virtualenv which will make MyPy unable to pick up your installed dependencies. If you want to add MyPy to your pre-commit hook, read the instructions here.

Additional resources

About

A cookiecutter template for starting modern Python projects

Topics

Resources

Stars

Watchers

Forks