Instructions

How to navigate the Tutorials section of the documentation

Prerequisites

1. Download and install our Python client.

2. Ensure pandas is installed: pip install "pandas[parquet]".

Instructions

The tutorials come with data and Jupyter notebooks that show you how to get your application data into dbnl and how to create projects and runs. To connect to dbnl, you will need to have the DBNL_API_TOKEN environment variable set. Some tutorials demonstrate how to use dbnl with proprietary data stores such as Snowflake — in that case, we provide example Run data so that you can execute the tutorial regardless.

1. For each tutorial, download the relevant zip files at the beginning of the tutorial. The notebooks found in the zip files can be used to generate the project, runs, and tests within the dbnl platform.

2. If you are simply interested in creating existing data on the platform, then execute the notebook within the extracted folder.

3. To walk through the tutorial and learn the pieces of information we believe will be relevant for successful product usage, create a new notebook in the extracted folder and follow any of the tutorials in this section.