Learn Python by Building Data Science Applications

Publishing the package

Now, assuming everything looks good, we can try installing dependencies with poetry install. This won't (despite the somewhat misleading name) install that package in your current environment—instead, poetry creates its own virtual environment for testing purposes.

Once that's done, we can build and publish our package to PyPI (using poetry build and poetry publish) so that it will be available for everyone. Let's not hurry—our package is in its infancy and is not yet tested and secured.

Instead, let's use GitHub as a sharing platform. Once your current version is pushed to the repository, the package can be installed straight from GitHub itself—pip supports that as well:

pip install git+https://github.com/Casyfill/wikiwwii.git ...