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Examples overview

First PublishedLast UpdatedByAtif Alam

This section holds step-by-step examples: each guide walks you through a full script (parsing, structure, tests) so you can run and extend it yourself.

Available examples

Section titled “Available examples”
  • Process log files — Four steps: read logs line by line, parse with split, aggregate counts and error buckets, then print a report (stdlib only, no regex).
  • Read from API and process data — Four steps: fetch GitHub commits JSON, normalize records, summarize by author/day, and print a compact report.
  • Process cloud policies — Traverse and query cloud permissions policy documents (e.g. AWS IAM–style) with Python. Build the parser, traverser, and query helpers step by step, running and testing after each step.
  • Incident records analyzer — Filter, enrich, group, and aggregate a list of incident dicts using filter, map, a small group_by helper, and functools.reduce (stdlib only).