Skip to content

21_FULL_STACK_MASTERY_PATH.md

Latest commit

 

History

History
126 lines (104 loc) · 3.61 KB

21_FULL_STACK_MASTERY_PATH.md

File metadata and controls

126 lines (104 loc) · 3.61 KB

21 - Full-Stack Python Mastery Path (Advanced + Infinite)

Home: README

This is the high-ceiling path for mastering Python beyond the baseline roadmap.

Goal

Progress from "can build working tools" to "can design, ship, and evolve production-grade Python systems across backend, data, APIs, automation, and web applications."

How to use this document

  1. Complete baseline roadmap through level-10 projects.
  2. Enter this path at Phase A.
  3. Work one phase at a time.
  4. Do not skip deliverables.
  5. Run the infinite mastery loop after Phase G.

Phase A - Language depth and internals (6-10 weeks)

What to master:

  • object model, dunder methods, descriptors,
  • iterators/generators,
  • context managers,
  • decorators,
  • typing and static analysis,
  • memory/performance basics.

Deliverables:

  • implement a mini plugin framework,
  • implement custom iterator + context manager,
  • pass strict lint/type/test gates.

Phase B - Backend APIs and service architecture (8-12 weeks)

What to master:

  • FastAPI service design,
  • API contracts and versioning,
  • auth patterns,
  • background jobs,
  • service boundaries and modular architecture.

Deliverables:

  • production-style API with tests,
  • request validation and error model,
  • structured logging and runbook.

Phase C - Data engineering and ETL at scale (8-12 weeks)

What to master:

  • idempotent ETL design,
  • schema evolution,
  • data quality contracts,
  • batch vs incremental loading,
  • pipeline observability.

Deliverables:

  • staging/reporting/mart flow,
  • drift detection and alerting,
  • replay-safe ingestion jobs.

Phase D - Frontend-in-Python delivery (6-10 weeks)

What to master:

  • Streamlit and Dash architecture patterns,
  • state/filter design,
  • caching and responsiveness,
  • user-centered dashboard design.

Deliverables:

  • multi-page dashboard with exports,
  • role-based view simulation,
  • stale-data and degraded-mode handling.

Phase E - Reliability, security, and performance (8-12 weeks)

What to master:

  • threat modeling basics,
  • secret handling patterns,
  • retry/backoff/circuit-breaker concepts,
  • profiling and optimization,
  • failure-mode testing.

Deliverables:

  • resilience test report,
  • security checklist pass,
  • performance baseline + improvements.

Phase F - Distributed systems and architecture thinking (8-12 weeks)

What to master:

  • event-driven workflows,
  • asynchronous processing,
  • consistency tradeoffs,
  • system boundaries and integration strategy.

Deliverables:

  • architecture decision records (ADRs),
  • event processing simulation,
  • incident postmortem package.

Phase G - Product-grade capstone portfolio (10-16 weeks)

Build 3 flagship systems:

  1. API-first platform service.
  2. Data pipeline with governance controls.
  3. Full-stack operational web application.

For each system include:

  • docs,
  • tests,
  • quality checks,
  • runbooks,
  • deployment and recovery guidance.

Mastery checkpoints (hard gates)

  • Gate M1: language depth verified.
  • Gate M2: backend/API architecture verified.
  • Gate M3: data pipeline reliability verified.
  • Gate M4: full-stack app quality verified.
  • Gate M5: system design and operational maturity verified.

Primary Sources

Optional Resources

Next

Next: 22_SPECIALIZATION_TRACKS.md →