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This repository was archived by the owner on Sep 23, 2025. It is now read-only.
BigQuery DataFrames is a set of open source Python libraries that implements the pandas and scikit-learn APIs with server-side processing. To get started, you can try BigQuery DataFrames.
Libraries
A weekly digest of client library updates from across the Cloud SDK.
Make pyarrow an optional dependency post-3.20.0 yanked release ( #1879) ( 21714e1)
Feature
The BigQuery materialized view recommender analyzes your past query jobs to identify opportunities to apply materialized views to your queries for potential cost savings. You can view all available materialized view recommendations through the BigQuery UI or Recommender API. This feature is in preview.
Feature
BigQuery Studio is generally available (GA).
BigQuery Studio lets you save, share, and manage versions of code assets such as notebooks and saved queries.
Feature
BigQuery DataFrames is generally available (GA).
BigQuery DataFrames is a set of open source Python libraries that implements the
pandasandscikit-learnAPIs with server-side processing. To get started, you can try BigQuery DataFrames.Libraries
A weekly digest of client library updates from across the Cloud SDK.
Python
Changes for google-cloud-bigquery
3.20.1 (2024-04-01)
Bug Fixes
pyarrowan optional dependency post-3.20.0 yanked release ( #1879) ( 21714e1)Feature
The BigQuery materialized view recommender analyzes your past query jobs to identify opportunities to apply materialized views to your queries for potential cost savings. You can view all available materialized view recommendations through the BigQuery UI or Recommender API. This feature is in preview.
https://cloud.google.com/bigquery/docs/release-notes#April_08_2024