![]() But I knew Jupyter Notebooks only as Python Notebooks. ![]() I knew that a Jupyter Notebook was the closest to Databriks notebook open-source solution that can be implemented on a desktop. Moreover, such log files were not user-friendly to share with my colleagues. In particular, it was laborious to copy all commands I execute in the terminal to the text editor. It was a simple and reliable approach, but it was not the most efficient one. I used to log all my work steps in a text editor. I thought it would be great to set up a similar notebook environment locally on my computer to manage my workflows. These notebooks allow combining code from many different programming languages (Scala, Python, etc.) in one notebook. If you read my Big Data tutorial, you are already familiar with Databricks notebooks.
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