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Pipeline Coverage PyPI


  • Intuitive Python project creation
  • Well-defined standard template

Standard template

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

  • Linting with flake8
  • Testing automation with pytest and tox for current Python releases
  • Measuring code coverage with pytest-cov and 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 3.6
2 3.7
3 3.8

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, code contributions and reviews, documentation or feature requests.


Install pyquickstart using pip:

$ pip install pyquickstart


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 []: 
repository_url []: 
year [2020]: 

Project details

Download files

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Files for pyquickstart, version 1.0.1
Filename, size File type Python version Upload date Hashes
Filename, size pyquickstart-1.0.1-py3-none-any.whl (12.8 kB) File type Wheel Python version py3 Upload date Hashes View

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