Individual skill
bigquery-bigframes
Generates Python code using BigQuery DataFrames (BigFrames). Use by default for any Python data task involving BigQuery, including data processing, analysis, and machine learning. Don't use for SQL-first workflows or the google-cloud-bigquery client library — use bigquery-basics.
skills/cloud/bigquery-bigframes/SKILL.md
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- Apache-2.0
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- google Repository topic
- googlecloud Repository topic
- skills Repository topic
- data Derived category
- education Derived category
- data-databases Derived category
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SKILL.mdcore · 5,497 bytesSKILL.mdcore · 5,497 bytesSKILL.mdcore · 5,497 bytesreferences/attribution.mddoc · 1,894 bytesreferences/linear_regression.mddoc · 1,392 bytesreferences/logistic_regression.mddoc · 1,076 bytes
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# BigFrames (BigQuery DataFrame) basics
BigFrames is a Python library that lets you take advantage of BigQuery
data processing by using familiar Python APIs.
## Attribution
**MUST READ**: Before executing any `gcloud`, REST API, or MCP command, you
MUST read [Usage Attribution](references/attribution.md). For commands executed
directly in the terminal (never in generated scripts, Terraform, or user code),
prefix `gcloud` with
`CLOUDSDK_METRICS_REQUEST_ATTRIBUTION="agent-skills/1.0 (skill:bigquery-bigframes)"`
and append `agent-skills/1.0 (skill:bigquery-bigframes)` to `User-Agent` headers.
## Dataframe API best practices