https://github.com/hackersandslackers/bigquery-python-tutorial

:bar_chart: :snake: Create tables in Google BigQuery, auto-generate their schemas, and retrieve said schemas.
https://github.com/hackersandslackers/bigquery-python-tutorial

bigquery data-warehouse gcs google-bigquery google-cloud google-cloud-sdk google-cloud-storage python tutorial

Last synced: 9 days ago
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:bar_chart: :snake: Create tables in Google BigQuery, auto-generate their schemas, and retrieve said schemas.

• Host: GitHub
• URL: https://github.com/hackersandslackers/bigquery-python-tutorial
• Owner: hackersandslackers
• License: mit
• Created: 2019-04-22T06:44:44.000Z (about 6 years ago)
• Default Branch: master
• Last Pushed: 2025-04-11T22:12:11.000Z (15 days ago)
• Last Synced: 2025-04-11T23:24:38.931Z (15 days ago)
• Topics: bigquery, data-warehouse, gcs, google-bigquery, google-cloud, google-cloud-sdk, google-cloud-storage, python, tutorial
• Language: Python
• Homepage: https://hackersandslackers.com/google-bigquery-python/
• Size: 233 KB
• Stars: 9
• Watchers: 1
• Forks: 5
• Open Issues: 26
• Metadata Files:
  • Readme: README.md
  • Funding: .github/FUNDING.yml
  • License: LICENSE
  • Codeowners: .github/CODEOWNERS

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README

        
# Google BigQuery Python SDK Tutorial

![Python](https://img.shields.io/badge/Python-v3.8-blue.svg?logo=python&longCache=true&logoColor=white&style=flat-square&colorA=4c566a&colorB=5e81ac)

![Google Cloud BigQuery](https://img.shields.io/badge/Google--BigQuery-v1.27.2-blue.svg?logo=Google&longCache=true&logoColor=white&style=flat-square&colorA=4c566a&colorB=5e81ac)

![Google Cloud Storage](https://img.shields.io/badge/Google--Cloud--Storage-v1.31.0-blue.svg?logo=Google&longCache=true&logoColor=white&style=flat-square&colorA=4c566a&colorB=5e81ac)

![GitHub Last Commit](https://img.shields.io/github/last-commit/google/skia.svg?style=flat-square&colorA=4c566a&colorB=a3be8c)

[![GitHub Issues](https://img.shields.io/github/issues/hackersandslackers/bigquery-python-tutorial.svg?style=flat-square&colorA=4c566a&colorB=ebcb8b)](https://github.com/hackersandslackers/bigquery-python-tutorial/issues)

[![GitHub Stars](https://img.shields.io/github/stars/hackersandslackers/bigquery-python-tutorial.svg?style=flat-square&colorA=4c566a&colorB=ebcb8b)](https://github.com/hackersandslackers/bigquery-python-tutorial/stargazers)

[![GitHub Forks](https://img.shields.io/github/forks/hackersandslackers/bigquery-python-tutorial.svg?style=flat-square&colorA=4c566a&colorB=ebcb8b)](https://github.com/hackersandslackers/bigquery-python-tutorial/network)

![Google BigQuery Python SDK](https://raw.githubusercontent.com/hackersandslackers/bigquery-python-tutorial/master/.github/bigquery_create_table%402x.jpg)

Source for the accompanying tutorial: https://hackersandslackers.com/google-bigquery-python/

# Getting Started

Get set up locally in two steps:

### Environment Variables

Replace the values in **.env.example** with your values and rename this file to **.env**:

* `GCP_PROJECT_ID`: ID of your Google Cloud Project.

* `GOOGLE_APPLICATION_CREDENTIALS`: Filepath to JSON containing Google Cloud credentials as service key.

* `GCP_BUCKET_NAME`: Name of an existing Google Cloud Storage bucket (used to upload CSV dataset).

* `GCP_BIGQUERY_DATASET_ID`: Desired BigQuery dataset ID (can be new or existing).

* `GCP_BIGQUERY_TABLE_ID`: Desired BigQuery table name/ID (should be new table name).

*Remember never to commit secrets saved in .env files to Github.*

### Installation

Get up and running with `make deploy`:

```shell

$ git clone https://github.com/hackersandslackers/bigquery-python-tutorial.git

$ cd bigquery-python-tutorial

$ make deploy

``` 

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