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bigquery-bigframes

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About bigquery-bigframes

B

bigquery-bigframes

Generates Python code using BigQuery DataFrames (BigFrames)

BigFrames is a Python library that gives you BigQuery data processing through familiar DataFrame APIs. This agent skill generates Python code with BigQuery DataFrames and is meant to be the default for Python data tasks that involve BigQuery, including processing, analysis and transformation. Its main guidance is to stay in the cloud: perform cleaning, transformation and analysis with BigFrames methods so the work runs on BigQuery's scale, rather than downloading large tables into local memory. It also recommends enabling partial ordering mode right after importing BigFrames, which the skill says speeds up processing significantly by relaxing constraints on row sequence. The skill helps the agent write code that follows these practices, so the result is efficient without requiring you to know the details of BigQuery execution. It is useful for data analysts and engineers who already work in pandas-style code and want the same workflow on data stored in BigQuery. It is published by Google on skills.sh under the google skills repository, with about 21.3K stars and about 6.0K installs. The skills.sh listing shows Gen Agent Trust Hub, Socket and Snyk all passing.

Price
Free
Made by
google
Category
AI Skills
Website
github.com/google/skills/bigquery-bigframes