Python Package Index pypi.org is not the only source for downloading python packages. It’s possible to host your own package index.
Python packages are easy to test in isolation. But what if packaging your code is not an option, and you do want to automatically verify that your code actually works, you could run your databricks notebook from Azure DevOps directly using the databricks-cli.
With databricks-connect you can connect your favorite IDE to your Databricks cluster. This means that you can now lint, test, and package the code that you want to run on Databricks more easily:
Why should you care about creating packages? Packages are easy to install (pip install demo
). Packages simplify development (pip install -e .
installs your package and keeps it up-to-date during development). Packages are easy to run and test …
In this post we’ll create a free static website with Hugo, push our project to Azure Repo’s, build and release the site to Github Pages using Azure DevOps.