GoogleCloudPlatform/data-science-on-gcp resource

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1427 stars · 727 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Companion source code repository for the O'Reilly book 'Data Science on the Google Cloud Platform' by Valliappa Lakshmanan, provided as Jupyter Notebooks. It demonstrates end-to-end data science workflows on GCP, including data pipelines, BigQuery, and machine learning with TensorFlow.

Use cases

• learn data science on google cloud platform
• build data pipelines with bigquery and cloud dataflow
• train machine learning models on gcp
• follow along with the data science on gcp book exercises
• learn bigquery ml and tensorflow on cloud
• practice gcp data engineering workflows

When to choose

• you are reading the book and want its working code
• you want hands-on GCP data science and ML tutorials
• you need example pipelines using BigQuery, Dataflow, and Vertex AI

When to avoid

• you need production-ready data science tooling rather than educational examples
• you use a cloud provider other than Google Cloud
• you want a maintained library with an API rather than notebook code

Facets

learning-resource · maturity active

machine-learning etl data-science data-visualization data-science cloud-computing machine-learning python cloud jvm google-cloud-platform jupyter-notebooks bigquery book-companion-code oreilly data-pipeline tensorflow data-engineering

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markdown · JSON · MCP: product_card(name="GoogleCloudPlatform/data-science-on-gcp")