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Showing content from https://github.com/TezRomacH/python-package-template below:

TezRomacH/python-package-template: 🚀 Your next Python package needs a bleeding-edge project structure.

cookiecutter gh:TezRomacH/python-package-template --checkout v1.1.1

All you need is the latest version of cookiecutter 😉

In this cookiecutter 🍪 template we combine state-of-the-art libraries and best development practices for Python.

• Supports Python 3.7 and higher.
• Poetry as a dependencies manager. See configuration in pyproject.toml and setup.cfg.
• Automatic codestyle with black, isort and pyupgrade.
• Ready-to-use pre-commit hooks with code-formatting.
• Type checks with mypy; docstring checks with darglint; security checks with safety and bandit
• Testing with pytest.
• Ready-to-use .editorconfig, .dockerignore, and .gitignore. You don't have to worry about those things.

• GitHub integration: issue and pr templates.
• Github Actions with predefined build workflow as the default CI/CD.
• Everything is already set up for security checks, codestyle checks, code formatting, testing, linting, docker builds, etc with Makefile. More details in makefile-usage.
• Dockerfile for your package.
• Always up-to-date dependencies with @dependabot. You only need to enable it.
• Automatic release notes with Release Drafter. You may see the list of labels in release-drafter.yml. Works perfectly with Semantic Versions specification.

• Ready-to-use Pull Requests templates and several Issue templates.
• Files such as: LICENSE, CONTRIBUTING.md, CODE_OF_CONDUCT.md, and SECURITY.md are generated automatically.
• Stale bot that closes abandoned issues after a period of inactivity. (You will only need to setup free plan). Configuration is here.
• Semantic Versions specification with Release Drafter.

To begin using the template consider updating cookiecutter

pip install -U cookiecutter

then go to a directory where you want to create your project and run:

cookiecutter gh:TezRomacH/python-package-template --checkout v1.1.1

Template generator will ask you to fill some variables.

The input variables, with their default values:

All input values will be saved in the cookiecutter-config-file.yml file so that you won't lose them. 😉

Your project will contain README.md file with instructions for development, deployment, etc. You can read the project README.md template before.

By running make install

After you create a project, it will appear in your directory, and will display a message about how to initialize the project.

By running make pre-commit-install. Make sure to set up git first via git init.

Want to know more about Poetry? Check its documentation.

Poetry's commands are very intuitive and easy to learn, like:

• poetry add numpy@latest
• poetry run pytest
• poetry publish --build

etc

If you set create_example_template to be cli the template comes with a cute little CLI application example. It utilises Typer and Rich for CLI input validation and beautiful formatting in the terminal.

After installation via make install (preferred) or poetry install you can try to play with the example:

poetry run <project_name> --help

poetry run <project_name> --name Roman

Building a new version of the application contains steps:

• Bump the version of your package poetry version <version>. You can pass the new version explicitly, or a rule such as major, minor, or patch. For more details, refer to the Semantic Versions standard.
• Make a commit to GitHub.
• Create a GitHub release.
• And... publish 🙂 poetry publish --build

Makefile contains a lot of functions for faster development.

To download and install Poetry run:

To uninstall

Install requirements:

Pre-commit hooks coulb be installed after git init via

Automatic formatting uses pyupgrade, isort and black.

make codestyle

# or use synonym
make formatting

Codestyle checks only, without rewriting files:

Note: check-codestyle uses isort, black and darglint library

Update all dev libraries to the latest version using one comand

This command launches Poetry integrity checks as well as identifies security issues with Safety and Bandit.

Run mypy static type checker

Run pytest

Of course there is a command to rule run all linters in one:

the same as:

make test && make check-codestyle && make mypy && make check-safety

which is equivalent to:

make docker-build VERSION=latest

Remove docker image with

More information about docker.

Delete pycache files

Remove package build

Delete .DS_STORE files

Remove .mypycache

Or to remove all above run:

Well, that's up to you 💪🏻. I can only recommend the packages and articles that helped me.

• Typer is great for creating CLI applications.
• Rich makes it easy to add beautiful formatting in the terminal.
• Pydantic – data validation and settings management using Python type hinting.
• Loguru makes logging (stupidly) simple.
• tqdm – fast, extensible progress bar for Python and CLI.
• IceCream is a little library for sweet and creamy debugging.
• orjson – ultra fast JSON parsing library.
• Returns makes you function's output meaningful, typed, and safe!
• Hydra is a framework for elegantly configuring complex applications.
• FastAPI is a type-driven asynchronous web framework.

Articles:

• Open Source Guides.
• A handy guide to financial support for open source
• GitHub Actions Documentation.
• Maybe you would like to add gitmoji to commit names. This is really funny. 😄

You can see the list of available releases on the GitHub Releases page.

We follow Semantic Versions specification.

We use Release Drafter. As pull requests are merged, a draft release is kept up-to-date listing the changes, ready to publish when you’re ready. With the categories option, you can categorize pull requests in release notes using labels.

This template will continue to develop and follow the bleeding edge new tools and best practices to improve the Python development experience.

Here is a list of things that have yet to be implemented:

• Tests coverage reporting (Codecov ?).
• Auto uploading your package to PyPI when new GitHub release is created.
• Automatic creation and deployment of documentation to GitHub pages. I look at MkDocs with Material Design theme and mkdocstrings.
• Code metrics with Radon.
• Docstring coverage with interrogate
• Dockerfile linting with dockerfilelint.
• Hall of fame from Sourcerer.
• Some advanced Python linting (?).
• End-to-end testing and validation of the cookiecutter template.
• Add Invoke
• Add Earthly

This project is licensed under the terms of the MIT license. See LICENSE for more details.

This template was inspired by several great articles:

• Hypermodern Python
• Ultimate Setup for Your Next Python Project
• Nine simple steps for better-looking python code
• Modern Python developer's toolkit

and repositories:

• Cookiecutter
• wemake-python-package
• Audreyr's cookiecutter-pypackage
• Full Stack FastAPI and PostgreSQL - Base Project Generator
• Cookiecutter Data Science Template: cdst

Give them your ⭐️, these resources are amazing! 😉

@misc{python-package-template,
  author = {Roman Tezikov},
  title = {Python Packages Project Generator},
  year = {2020},
  publisher = {GitHub},
  journal = {GitHub repository},
  howpublished = {\url{https://github.com/TezRomacH/python-package-template}}
}

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