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✅ What you built
A shared library repository in `.../Training Artifacts/yourName/Data Engineering Tutorials/Shared Python Libraries/.
✅ What you learned
Most of the popular Python packages are already exposed in publicly available Conda channels such as conda-forge ↗ or bioconda ↗. Your organization either:
Proxies a mirror of one of these channels, which means the external channel must be available on the network.
Produces a local artifact repository from an asset bundle that contains a standard Conda channel.
Your package name is the name of your shared library (spaces and underscore characters in your repository name will be replaced with hyphens when it appears as a package).
You can change the name of your package by updating the condaPackageName variable in the hidden gradle.properties file.