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  1. GitHub - googleapis/python-bigquery

    Python Client for Google BigQuery Querying massive datasets can be time consuming and expensive without the right hardware and infrastructure. Google BigQuery solves this problem …

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  2. googleapis/python-bigquery-dataframes - GitHub

    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. …

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    • Dashboard

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  3. bigquery · GitHub Topics · GitHub

    Apr 18, 2025 · BigQuery's scalable, distributed analysis engine lets you query terabytes in seconds and petabytes in minutes. » Its client libraries allow the use of widely known …

  4. Creating a Real-Time Dashboard from BigQuery Data - gradio.app

    In this tutorial, we will show you how to query a BigQuery dataset in Python and display the data in a dashboard that updates in real time using gradio. The dashboard will look like this: We'll …

  5. GitHub - tanguyhdn/football-analytics-dbt-bigquery: Full-stack ...

    This project showcases a full-stack modern data analytics workflow using public football data. It demonstrates how to go from raw API data to a production-grade dashboard, powered entirely …

  6. Run BigQuery SQL using Python API Client - Medium

    Aug 1, 2022 · This year I am actively working with Google Cloud (GCP), and I will share how to set up the API Client with Python in WSL (Windows Subsystem Linux) and Anaconda to …

  7. A basic wrapper around the BigQuery Python client for ... - GitHub

    This class is a wrapper around the BigQuery Python client for performing groupby and aggregation operations: similar to those in pandas, but on BigQuery data. Basic usage: …

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    • Dashboard

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  8. Back-up your BigQuery views in GitHub with Python

    Aug 4, 2023 · In this tutorial, I will guide you through a comprehensive process on how to run a Python script which creates and updates a views repository in GitHub with your current data …

  9. Python Guide: Use dlt to Load GitHub Data into BigQuery

    With dlt, you can extract data on issues, pull requests, or events from any GitHub repository using the GitHub API and load it onto BigQuery, a serverless, cost-effective enterprise data …

  10. Diving into GitHub with BigQuery and Python - Chris Wilcox

    Sep 2, 2020 · Querying around a month of data from the GitHub dataset is ~225 GB. The first thing to do is set a few variables for the rest of the scripts. The BigQuery APIs need to know …

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