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Engineering Playbooks

Algorithms that solve real problems

Each playbook teaches a technique using a familiar public dataset, then shows how the same approach applies to your infrastructure, data pipelines, or business graph. All include runnable Python notebooks.

Graph Algorithms·IntermediateLive

How PageRank Works

Find the most important nodes in any directed graph

Interactive engineering walkthrough of the PageRank algorithm applied to the real npm dependency graph. Learn how Google's ranking algorithm works and how to apply it to dependency analysis, CVE prioritization, microservice blast-radius, and data lineage.

TypeScriptPythonReactGraph Theory
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Read time

25 min

Difficulty

Intermediate

Notebooks

2 runnable

Want to apply this to your data?

The playbooks demonstrate the technique. We build the production version — ingestion pipelines, scheduled recomputation, APIs, dashboards.

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