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BigQuery DataFrames provides a Pythonic DataFrame and machine learning (ML) API powered by the BigQuery engine.
bigframes.pandas provides a pandas-compatible API for analytics.bigframes.ml provides a scikit-learn-like API for ML.BigQuery DataFrames is an open-source package. You can run
pip install --upgrade bigframes to install the latest version.
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BigQuery DataFrames source code (GitHub) <https://github.com/googleapis/python-bigquery-dataframes>_BigQuery DataFrames sample notebooks <https://github.com/googleapis/python-bigquery-dataframes/tree/main/notebooks>_BigQuery DataFrames API reference <https://cloud.google.com/python/docs/reference/bigframes/latest/summary_overview>_BigQuery DataFrames supported pandas APIs <https://cloud.google.com/python/docs/reference/bigframes/latest/supported_pandas_apis>_Try the BigQuery DataFrames quickstart <https://cloud.google.com/bigquery/docs/dataframes-quickstart>_
to get up and running in just a few minutes.
BigQuery DataFrames is distributed with the Apache-2.0 license <https://github.com/googleapis/python-bigquery-dataframes/blob/main/LICENSE>_.
It also contains code derived from the following third-party packages:
Ibis <https://ibis-project.org/>_pandas <https://pandas.pydata.org/>_Python <https://www.python.org/>_scikit-learn <https://scikit-learn.org/>_XGBoost <https://xgboost.readthedocs.io/en/stable/>_For details, see the third_party <https://github.com/googleapis/python-bigquery-dataframes/tree/main/third_party/bigframes_vendored>_
directory.
For further help and provide feedback, you can email us at bigframes-feedback@google.com <https://mail.google.com/mail/?view=cm&fs=1&tf=1&to=bigframes-feedback@google.com>_.