Software Engineering
Python Interview Questions — Data & Backend Campus Guide
Published 8 June 2026Updated Today10 min read
Content Editor
Placement & Career Content
Python Interview Questions — Data & Backend Campus Guide
Python hiring spans backend web development, data analytics, and machine learning internships. Startups prefer FastAPI/Django profiles; data teams test Pandas, NumPy, and SQL integration.
High-frequency topics
- List vs tuple, dict comprehensions, generators
- GIL and multiprocessing vs threading
- Decorators, context managers, and
*args/**kwargs - Django MVT or FastAPI dependency injection
- Pandas groupby, merge, and missing value handling
Project talking points
Explain one analytics notebook and one API project. Interviewers probe how you structured modules, handled virtual environments, and wrote tests with pytest.
3-week sprint
Days 1–7: Python core + 50 HackerRank easy problems.
Days 8–14: FastAPI CRUD + PostgreSQL.
Days 15–21: Pandas case study + 30 medium Python Q&A revisions.
See the full Python interview question bank.
Related resources
Disclaimer: This article is for educational purposes. Hiring processes and company policies change — verify details with official sources. See our disclaimer.