Question 1

FastAPI vs Django in 2026, which should I pick for my startup?

Accepted Answer

New API projects: FastAPI. Greenfield full-stack (templates+auth+admin): Django. Microservices: Flask or Starlette. FastAPI wins on speed (async by default, auto OpenAPI), developer experience (Pydantic validation), and hiring ease (cleaner syntax). Django wins on ecosystem maturity (ORM, admin, migrations battle-tested), team familiarity (larger job market), and all-in-one deployment. If async is your main concern: FastAPI. If you need admin panel + migrations: Django. Mixed: FastAPI for APIs, Django for backend-of-backends.

Question 2

ORM choice: Django ORM vs SQLAlchemy vs Tortoise ORM, which is best?

Accepted Answer

Django ORM: coupled to Django, excellent for query optimization and admin integration, weak on complex joins. SQLAlchemy: decoupled, most powerful, steep learning curve, industry standard for non-web Python. Tortoise ORM: async-native, lightweight, smaller ecosystem, ideal for FastAPI apps. For FastAPI: Tortoise + Pydantic. For Django: stick with Django ORM. For microservices: SQLAlchemy Core. In interviews: knowing SQLAlchemy = portable across frameworks.

Question 3

Async vs sync in 2026: when do I actually need async?

Accepted Answer

Sync (Django, Flask): fine for <1000 concurrent users, I/O-heavy (DB, APIs), simple request→response. Async (FastAPI/Starlette): required for 10k+ WebSocket connections, real-time data feeds, high-concurrency APIs, ML inference endpoints. Don't use async for CPU-bound work (use processes/Celery). Most startups start sync, scale to async only when profiling shows I/O bottleneck. FastAPI's advantage: async ready from day one, no refactor later.

Question 4

Deploying Python web apps in 2026: Docker vs Vercel vs Railway vs self-hosted?

Accepted Answer

Docker is standard (Gunicorn/Uvicorn + nginx). Vercel: Next.js only. Railway/Render: easy deploys, pay-per-second, good for side projects ($5-30/mo typical). AWS (Fargate/Lambda): enterprise, complex setup, cheapest at scale. Digital Ocean/Heroku: middle ground. Django: Gunicorn + systemd on cheap VPS or managed platforms (PythonAnywhere). FastAPI: Uvicorn on Railway/Render fastest to ship. Most 2026 startups: Railway or self-hosted VPS ($5-15/mo) with Docker.

Question 5

FastAPI interview prep: what do they always ask?

Accepted Answer

1. Async/await and when you'd use `await`. 2. Dependency injection (Depends() pattern). 3. Middleware order (executes top-down, response bottom-up). 4. Pydantic validation and custom validators. 5. JWT vs session auth (FastAPI has no built-in sessions). 6. Testing with TestClient. 7. Background tasks vs Celery. 8. Performance: FastAPI is fast because of Pydantic + Starlette, not magical. Prepare examples: write a CRUD endpoint with Pydantic models, describe async benefits, justify auth choice.

Question 6

Django vs Mojo (Python's 'replacement'): should I worry in 2026?

Accepted Answer

Mojo is 1% of the market in 2026. Django runs on CPython, not Mojo. Learning Django/FastAPI today is zero risk, both will be job-relevant for 5+ years. Mojo's killer feature (100x speedups) only kicks in for compute-heavy code, not web. If worried: Rust + Pyo3 for CPU-bound parts, Python for everything else. Django and FastAPI are here to stay.

प्रदेश	ज्युनियर	मध्यम	सीनियर
USA	$105k	$140k	$185k
UK	£60k	£80k	£115k
EU	€65k	€85k	€125k
CANADA	C$110k	C$145k	C$190k

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