Notebooks are the primary tool for creating data science and machine learning workflows on Databricks. Databricks notebooks provide real-time coauthoring in multiple languages, …

This page describes how to develop code in Databricks notebooks, including autocomplete, automatic formatting for Python and SQL, combining Python and SQL in a notebook, and …

Learn how to create, open, delete, rename, and control access to Databricks notebooks using the Databricks UI, CLI, and Workspace API.

A Databricks notebook is a web-based code editor that allows you to write code and view results for interactive data analysis. This page covers the basics of using notebooks in Databricks, …

This tutorial walks you through using a Databricks notebook to query sample data stored in Unity Catalog using SQL, Python, Scala, and R and then visualize the query results in the notebook.

Learn how to apply software engineering best practices to your Databricks notebooks, including version control, code sharing, testing, and CI/CD.

Aug 15, 2025 · This article describes the default notebook format in Databricks, how to change your notebook format, and how to manage output commits if your notebook is in a source …

Learn how to run a Databricks notebook. Learn about the notifications that appear.

This tutorial guides you through the basics of conducting exploratory data analysis (EDA) using Python in a Databricks notebook, from loading data to generating insights through data …

The dbutils.notebook API complements %run because it lets you pass parameters to and return values from a notebook. This allows you to build complex workflows and pipelines with …