Software Engineering Best Practices With Databricks Notebooks
Notebooks are a popular way to start working with data quickly without configuring a complicated environment. Notebook authors can quickly go from interactive…
What’s New With Databricks Notebooks at the Data & AI Summit
At Databricks, we are continually evolving the development experience to accelerate the path from data to insights. Today we’re excited to announce further…
Introducing Data Profiles in the Databricks Notebook
Before a data scientist can write a report on analytics or train a machine learning (ML) model, they need to understand the shape…
Databricks Notebook Dark Theme
This became the most-requested feature in Databricks’ history, and now it’s here: a dark theme for the Databricks notebook! We’re excited for you…
Python Autocomplete Improvements for Databricks Notebooks
At Databricks, we strive to provide a world-class development experience for data scientists and engineers, and new features are constantly getting added to…
