This is a template repository for Python projects that use uv for their dependency management.
Project description
radio-galaxy-classifier
This is a template repository for Python projects that use uv for their dependency management.
- Github repository: https://github.com/mirsazzathossain/radio-galaxy-classifier/
- Documentation https://mirsazzathossain.github.io/radio-galaxy-classifier/
Getting started with your project
1. Create a New Repository
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:mirsazzathossain/radio-galaxy-classifier.git
git push -u origin main
2. Set Up Your Development Environment
Then, install the environment and the pre-commit hooks with
make install
This will also generate your uv.lock
file
3. Run the pre-commit hooks
Initially, the CI/CD pipeline might be failing due to formatting issues. To resolve those run:
uv run pre-commit run -a
4. Commit the changes
Lastly, commit the changes made by the two steps above to your repository.
git add .
git commit -m 'Fix formatting issues'
git push origin main
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, 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-uv.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file rgc-0.1.0.tar.gz
.
File metadata
- Download URL: rgc-0.1.0.tar.gz
- Upload date:
- Size: 15.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.9.20
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 01dc58f0190190ed4cced3d09fd07a3e86dcce5c834dfb8a720fcbe2bd3e6cd5 |
|
MD5 | f62aa8c2efa6289478f54dfad0f03132 |
|
BLAKE2b-256 | 78eb80fbf87d1881924415d3d3df54f9e7be77af8b6d647e04e2afff43e89e16 |
File details
Details for the file rgc-0.1.0-py3-none-any.whl
.
File metadata
- Download URL: rgc-0.1.0-py3-none-any.whl
- Upload date:
- Size: 14.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.9.20
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | e8a7de024934e355368673a6fe0e83ca47b58d1319372f2bfa172c3a56de6e8c |
|
MD5 | 70c6f1486947eeda90b05117db6cf5fd |
|
BLAKE2b-256 | 0d4809690bd96f882ceb4ec41f45a91d9922255961b88ab04a09ee8ace798cc4 |