Skip to main content

This is a template repository for Python projects that use Poetry for their dependency management.

Project description

librecubo-clouds

Release Build status codecov Commit activity License

This is a template repository for Python projects that use Poetry for their dependency management.

Getting started with your project

First, create a repository on GitHub with the same name as this project, and then run the following commands:

git init -b main
git add .
git commit -m "init commit"
git remote add origin git@github.com:Julio/librecubo-clouds.git
git push -u origin main

Finally, install the environment and the pre-commit hooks with

make install

You are now ready to start development on your project! The CI/CD pipeline will be triggered when you open a pull request, merge to main, or when you create a new release.

To finalize the set-up for publishing to PyPi or Artifactory, see here. For activating the automatic documentation with MkDocs, see here. To enable the code coverage reports, see here.

Releasing a new version

  • Create an API Token on Pypi.
  • Add the API Token to your projects secrets with the name PYPI_TOKEN by visiting this page.
  • Create a new release on Github.
  • Create a new tag in the form *.*.*.

For more details, see here.


Repository initiated with fpgmaas/cookiecutter-poetry.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

librecubo_clouds-0.0.1.tar.gz (3.2 kB view details)

Uploaded Source

Built Distribution

librecubo_clouds-0.0.1-py3-none-any.whl (3.3 kB view details)

Uploaded Python 3

File details

Details for the file librecubo_clouds-0.0.1.tar.gz.

File metadata

  • Download URL: librecubo_clouds-0.0.1.tar.gz
  • Upload date:
  • Size: 3.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.7.1 CPython/3.8.18 Linux/6.2.0-37-generic

File hashes

Hashes for librecubo_clouds-0.0.1.tar.gz
Algorithm Hash digest
SHA256 46dc6e1f4ee02cc5288db8259f7f8ec632a80358249a2abe12f3f37bdd4e64b5
MD5 1a1d32166be14c3715de1857c7b7e349
BLAKE2b-256 b415e8e26e85d8fe580f60a6a0298219e3057bcdd98cfeda99d0bf642e8f749a

See more details on using hashes here.

File details

Details for the file librecubo_clouds-0.0.1-py3-none-any.whl.

File metadata

  • Download URL: librecubo_clouds-0.0.1-py3-none-any.whl
  • Upload date:
  • Size: 3.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.7.1 CPython/3.8.18 Linux/6.2.0-37-generic

File hashes

Hashes for librecubo_clouds-0.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 7c2fb1b217f4d1a42a811ba5814d91c2869731ce8612d00c4066175d0d6218ff
MD5 52da4c5549589c9b01aeba041e36986f
BLAKE2b-256 ac0ca56a95355c83e80485ed24f27bacc7e71c03710c5f17bc078136318cdd6d

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page