Question 1

When should we choose Python over Node.js?

Accepted Answer

Choose Python when your project involves data processing, machine learning, scientific computing, or when your team already knows Python. For pure web APIs, both are excellent choices.

Question 2

Django or FastAPI — which do you recommend?

Accepted Answer

FastAPI for high-performance APIs and microservices. Django for full-featured web applications with admin panels, ORM, and built-in auth. We often use both in different parts of a system.

Question 3

Can you integrate AI/ML models into our Python app?

Accepted Answer

Yes. We deploy ML models with FastAPI, set up inference pipelines, handle model versioning, and integrate with services like OpenAI, Hugging Face, or your custom-trained models.

Question 4

How do you ensure Python code quality?

Accepted Answer

We enforce strict typing with mypy, format with Ruff, test with pytest and coverage targets, and use pre-commit hooks. Every PR passes type checking and linting in CI.

Question 5

Do you build data pipelines in Python?

Accepted Answer

Yes. We build ETL pipelines with tools like Airflow, Dagster, or simple async Python scripts, depending on scale. We handle data validation with Pydantic and monitoring with structured logging.

Python For APIs, Data, And ML

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