Description:

pyquickstart 2.0.0

pyquickstart



Create Python projects easily using well-defined templates.
Features

Intuitive Python project creation
Well-defined project structure using source directory layout
Pre-configured code linting with PEP8 in mind
Improved code quality leveraging static code analysis
Enabled unit and integration testing supporting test-driven development
Production-ready continuous integration and deployment toolchain

Standard template
We use this template for our own projects following modern best practices:

Formatting code with brunette (a better configurable black fork)
Sort and style import with isort
Linting with flake8
Testing automation with pytest and tox for current Python releases
Measuring code coverage using coverage
Continuous integration on Gitlab
Packaging as wheel
Deployment on PyPI using twine

Technical requirements
Below is the list of currently supported Python releases:



#
Python




1
3.7


2
3.8


3
3.9


4
3.10



Code and contribution
The code is open source and released under the MIT License (MIT). It is available on Gitlab and follows the guidelines about Semantic Versioning for transparency within the release cycle and backward compatibility whenever possible.
All contributions are welcome, whether bug reports, reviews, documentation or feature requests.
If you're a developer and have time and ideas for code contributions, fork the repo and prepare a merge request:
# Prepare your environment the first time
python3.10 -m venv ~/virtualenvs/pyquickstart-py310
source ~/virtualenvs/pyquickstart-py38/bin/activate
pip install -e .[development]

# Running the tests while development
pytest

# Individual Python release tests and code quality checks
tox -e py310
tox -e brunette
tox -e coverage
tox -e flake8
tox -e isort
tox -e mypy

# Ensure code quality running the entire test suite,
# this requires all supported Python releases to be installed
tox

Installation
Install pyquickstart using pip:
pip install pyquickstart

Usage
Create a new Python project from the standard template in your current working directory by running pyquickstart:
pyquickstart

Then answer a few simple questions, default values in square brackets:
project [shinyprojectname]:
author [John Doe]:
author_email [john@example.com]:
repository_url [https://gitlab.com/johndoe/shinyprojectname]:
year [2022]:

License

For personal and professional use. You cannot resell or redistribute these repositories in their original state.

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