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Cookiecutter PyPackage

Updates https://travis-ci.org/audreyr/cookiecutter-pypackage.svg?branch=master

Cookiecutter template for a Python package.

Features

  • Testing setup with unittest and python setup.py test or pytest
  • Travis-CI: Ready for Travis Continuous Integration testing
  • Tox testing: Setup to easily test for Python 3.5, 3.6, 3.7, 3.8
  • Sphinx docs: Documentation ready for generation with, for example, Read the Docs
  • bump2version: Pre-configured version bumping with a single command
  • Auto-release to PyPI when you push a new tag to master (optional)
  • Command line interface using Click (optional)

Build Status

Linux:

Linux build status on Travis CI

Windows:

Windows build status on Appveyor

Quickstart

Install the latest Cookiecutter if you haven't installed it yet (this requires Cookiecutter 1.4.0 or higher):

pip install -U cookiecutter

Generate a Python package project:

cookiecutter https://github.com/audreyr/cookiecutter-pypackage.git

Then:

  • Create a repo and put it there.
  • Add the repo to your Travis-CI account.
  • Install the dev requirements into a virtualenv. (pip install -r requirements_dev.txt)
  • Register your project with PyPI.
  • Run the Travis CLI command travis encrypt --add deploy.password to encrypt your PyPI password in Travis config and activate automated deployment on PyPI when you push a new tag to master branch.
  • Add the repo to your Read the Docs account + turn on the Read the Docs service hook.
  • Release your package by pushing a new tag to master.
  • Add a requirements.txt file that specifies the packages you will need for your project and their versions. For more info see the pip docs for requirements files.
  • Activate your project on pyup.io.

For more details, see the cookiecutter-pypackage tutorial.

Not Exactly What You Want?

Don't worry, you have options:

Similar Cookiecutter Templates

Fork This / Create Your Own

If you have differences in your preferred setup, I encourage you to fork this to create your own version. Or create your own; it doesn't strictly have to be a fork.

  • Once you have your own version working, add it to the Similar Cookiecutter Templates list above with a brief description.
  • It's up to you whether or not to rename your fork/own version. Do whatever you think sounds good.

Or Submit a Pull Request

I also accept pull requests on this, if they're small, atomic, and if they make my own packaging experience better.

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Cookie cutter template for Azure ML related projects

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