Uploaded April 2023 | Updated September 2026, 2 weeks ago
In this tutorial we are going to learn how to use pandas-gbq Python library to analyze and transform data in Google BigQuery. The `pandas-gbq` library as the name suggested, is a lightweight Python package to work with BigQuery data as a pandas dataframe. I have been using pandas-gbq to help my clients analyze and putting together reports, and so far, the whole experience has been a great. And with pandas 2.0, you can incorporate pyarrow to process large datasets more efficiently.
π pandas-gbq Documentation: pandas-gbq.readthedocs.io/en/latest
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#bigquery #pandas #pandasgbq #python
In this tutorial we are going to learn how to use pandas-gbq Python library to analyze and transform data in Google BigQuery. The `pandas-gbq` library as the name suggested, is a lightweight Python package to work with BigQuery data as a pandas dataframe. I have been using pandas-gbq to help my clients analyze and putting together reports, and so far, the whole experience has been a great. And with pandas 2.0, you can incorporate pyarrow to process large datasets more efficiently.
π pandas-gbq Documentation: pandas-gbq.readthedocs.io/en/latest
βΊ Buy Me a Coffee? Your support is much appreciated!
-------------------------------------------------------------------------------------------
β Paypal: paypal.me/jiejenn/5
β Venmo: @Jie-Jenn
πΈ Join Robinhood with my link and we'll both get a free stock: bit.ly/3iWr7LC
βΊ Support my channel so I can continue making free contents
---------------------------------------------------------------------------------------------------------------
π By shopping on Amazon β amzn.to/2JkGeMD
π©βπ» Follow me on Linked: linkedin.com/in/jiejenn
π³ Becoming a Patreon supporter: patreon.com/JieJenn
βοΈ Business Inquiring: YouTube@LearnDataAnalysis.org
#bigquery #pandas #pandasgbq #python










