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Python Automation Lab

The dedicated track for learners building scripted workflows — from file ops to API integrations — with mentor-reviewed checkpoints.

Python automation lab environment with dual monitors

1 — Skills map

FOUNDATIONS          INTEGRATION           OPERATIONS
├── Python syntax    ├── REST / webhooks   ├── Scheduling
├── File I/O         ├── Auth patterns     ├── Logging
├── Error handling   ├── pandas ETL        ├── pytest
└── Git basics       └── Schema validation └── Runbooks
         \_________________|_________________/
                           │
                    PORTFOLIO EVIDENCE
                    └── Case study + demo
        

2 — Tools and workflow stack

CPython 3.12
VS Code
FastAPI
pandas
pytest
APScheduler
httpx
GitHub Actions

Workflow: branch → lab → mentor review → merge template → portfolio note. No proprietary IDE lock-in.

3 — Practice milestones

Week 1–2

Script fundamentals

Review: Mentor signs off logging standards

Week 3–4

Integration lab

Review: Webhook handler passes replay tests

Week 5–6

Pipeline practicum

Review: ETL README approved by coach

Final

Demo + case study

Review: Peer review + hiring-manager feedback optional

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