Example library for scientific software.
Project description
app-lib-py
This template is a suggestion of good practice for a scientific python library that includes continuous integration and conntinuous development and continuous documentation.
The application is demonstrated though streamlist which is deployed with continuous deployment, and also made a available via pypi as a python library with pip install
The single github repo contains 2 seperate software artefacts, a python library that can be installed and used by others, and a streamlit web application that demonstreates the library and provides a simple usage. Additionally there is a docker file which allows the upload of a docker image to dockerhub for a middle use of locally hosted web application.
To use this library yourself, use the "Template" button as described below.
1. Create a template for yourself
2. Change the name (search on app-lib-py or app_lib_py)
- in the yml files in pydoctor line 24
- docker yml line 26
- pypi yml line 43
2. Setup development environments
See dev environments
3. Setup precommit hooks
https://pre-commit.com/
Run it to check
pre-commit run --all-files
ruff --target-version=py311 --line-length 88 . --fix
black ./ --check --line-length 88 --diff
4. Change the tokens, get all workflows in github actions working
pydoctor --make-html --html-output=./docs/api lib/src/app_lib_py --theme readthedocs
5. Test driven development, design the functionality
6. Implement
7. Distribute and deploy
7a. Pypi
Follow these instructions for creating a token in pypi and adding it to the github repo: https://www.seanh.cc/2022/05/21/publishing-python-packages-from-github-actions/ https://github.com/marketplace/actions/modify-file-content
7b. Streamlit
7c. Docker
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