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Learning paths

Paths sequence challenge courses into badge routes. Each path lives in its own folder with a machine-checked path.json contract plus bilingual module and challenge documents.

  • Agent tools foundation — drive a coding agent (Claude Code, Codex, Cursor, DeepSeek Harness, Kimi Code, or ZCode — pick one), write a single-source rules file, and verify agent output by hand. Modules: the pick-one tool courses, the rules and verification courses, and a dual-agent route challenge (200 points). The orientation module is optional extra credit (10 points) — not required for the badge.
  • Data analysis with an agent — clean, explore, visualize, and report on a real dataset. Modules: the da-eda, da-visualization, and da-report courses plus an end-to-end capstone (200 points).

Conventions

  • path.json is the contract: module order, course references, points, and badge definitions; optional: true marks extra-credit modules that do not count toward the badge. python tools/verify_paths.py checks every path against the courses that actually exist in courses/.
  • Module documents (modules/*.md) always ship with a _cn.md pair in the same change.
  • Route capstones carry their own TASK.md/TASK_cn.md, starter inputs, a reviewed solution/, and a verify.py that gates the route badge.
  • Points come only from checkpoints verified by verify.py and recorded with claim codes; badges are self-reported local evidence, never certificates.

Continue the guided experience on flypython.com.