Initiate development environment and bots #1
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Minimal working virtual environment that runs Jupyter Lab! Inside an Ubuntu bionic-scm docker image, we install Python 3.7, Pip 19.2.3 and Pipenv 2018.11.26 via conda, plus Jupyterlab 1.2.0a0 via Pipenv. Setup is based on the [DeepBedMap](https://github.com/weiji14/deepbedmap) repository.
DeepCode Report (#5e21f7)DeepCode analyzed this pull request. |
Ensure that we have a reproducible environment, by setting up a Continuous Integration/Deployment service on Github Actions to build our DeepIceDrain app. Currently having the build run on Ubuntu 18.04 LTS Bionic Beaver.
Handy Github App to help draft releases. See https://github.com/toolmantim/release-drafter for more information.
Adhering to the [black](https://github.com/psf/black) code style. Set fixer to false to disable it from automatically linting for us (i.e. it will complain, but not commit changes).
Included badges for Github top language, black code style, Github Actions Status and Dependabot Status.
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Reproducibility from the get-go! Setup a fairly solid development environment that runs JupyterLab in the cloud, and get all our automation bots in! Lots of things based on the DeepBedMap sister repository.
Bots/Services to include:
TODO: