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MODULE 15 · ADVANCED

Data and Service BoundariesPython · Module 15

Validate external data, persist it transactionally, protect secrets, and build a repeatable import pipeline.

4 lessons16 min readingConnect, test, and ship1 project
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WHAT THIS MODULE COVERS

Data and Service Boundaries

Validate external data, persist it transactionally, protect secrets, and build a repeatable import pipeline.

BEFORE YOU START

Validation, context managers, and tests.

WHAT YOU’LL BE ABLE TO DO

Validate external service data rigorously, persist complete batches transactionally to avoid partial updates, and handle network failures and rate limits gracefully.

THE LESSON SEQUENCE

Read in order, or jump to what you need.

Every lesson builds on the one before it. Open any lesson to read the explanation, run the examples, and try the practice challenges.

  1. 15.01
    HTTP APIs with urllib

    Treat transport, decoding, schema validation, and retries as separate responsibilities.

    4 min
  2. 15.02
    SQLite and Transactions

    Persist validated data with parameterized queries, explicit transaction boundaries, and reliable connection cleanup.

    4 min
  3. 15.03
    Security and Secrets

    Protect credentials, distinguish cryptographic purposes, and design safer input and logging boundaries.

    4 min
  4. 15.04
    Project: An API Data PipelineProject

    Build a fixture-driven catalog import with validation, atomic persistence, idempotency, and acceptance checks.

    4 min
MODULE SELF-CHECK

Ready to move on?

Import the same records twice without duplicates, reject a bad batch of malformed data, and prove that existing database rows remain unchanged after a failed import.

Open the module self-check