Engineering Playbooks
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.
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.
Read time
25 min
Difficulty
Intermediate
Notebooks
2 runnable
Open in Colab
Discover purchasing patterns hidden in your transaction data
Interactive engineering playbook on market basket analysis and association rule mining. Learn how to discover which products customers buy together, how to measure association strength vs. coincidence, and how to build a recommendation system from scratch.
Read time
30 min
Difficulty
Beginner
Notebooks
1 runnable
Open in Colab
Discover customer groups hidden in your transaction data
Interactive engineering walkthrough of customer segmentation using RFM analysis and K-Means clustering on real transaction data. Learn how companies identify customer groups and build targeted campaigns.
Read time
20 min
Difficulty
Intermediate
Notebooks
1 runnable
Open in Colab
The playbooks demonstrate the technique. We build the production version — ingestion pipelines, scheduled recomputation, APIs, dashboards.
Let’s talk