If youโre preparing for Python Developer interviews, hereโs a practical step-by-step cheatsheet that can help. Follow this end-to-end system design approach.
Hereโs the breakdown:
๐ญ. ๐๐ผ๐ฟ๐ฒ ๐ฃ๐๐๐ต๐ผ๐ป & ๐ฆ๐ผ๐ณ๐๐๐ฎ๐ฟ๐ฒ ๐๐ป๐ด๐ถ๐ป๐ฒ๐ฒ๐ฟ๐ถ๐ป๐ด ๐๐๐ป๐ฑ๐ฎ๐บ๐ฒ๐ป๐๐ฎ๐น๐
โข Master language syntax, data structures, and the standard library.
โข Think list comprehensions, decorators, context managers, and `collections` module ~ understand time/space complexity (Big O).
๐ฎ. ๐ช๐ฒ๐ฏ ๐๐ฟ๐ฎ๐บ๐ฒ๐๐ผ๐ฟ๐ธ๐ & ๐๐ฃ๐ ๐๐ฒ๐๐ฒ๐น๐ผ๐ฝ๐บ๐ฒ๐ป๐
โข Build and deploy scalable web services and applications.
โข Flask (flexible microframework), Django ("batteries-included"), and FastAPI (modern async APIs) ~ know routing, ORM, middleware, and REST principles.
๐ฏ. ๐๐ฎ๐๐ฎ๐ฏ๐ฎ๐๐ฒ๐ & ๐ข๐ฅ๐ ๐
โข Design data models and write efficient queries.
โข SQL (PostgreSQL/MySQL) with `psycopg2` or `SQLAlchemy` ORM; basics of NoSQL (MongoDB, Redis) ~ connection pooling, indexing, and N 1 query problem.
๐ฐ. ๐๐ฃ๐ ๐๐ป๐๐ฒ๐ด๐ฟ๐ฎ๐๐ถ๐ผ๐ป & ๐ ๐ถ๐ฐ๐ฟ๐ผ๐๐ฒ๐ฟ๐๐ถ๐ฐ๐ฒ๐ ๐๐ฟ๐ฐ๐ต๐ถ๐๐ฒ๐ฐ๐๐๐ฟ๐ฒ
โข Connect services and design distributed systems.
โข Use `requests`, `aiohttp`, message brokers (RabbitMQ/Celery), and containerization (Docker) ~ idempotency, retry logic, and eventual consistency.
๐ฑ. ๐ง๐ฒ๐๐๐ถ๐ป๐ด, ๐๐ฒ๐ฏ๐๐ด๐ด๐ถ๐ป๐ด & ๐๐/๐๐
โข Ensure code quality and automate deployment.
โข `pytest` for unit/integration tests, `pdb` for debugging, and CI/CD with GitHub Actions/Jenkins ~ aim for high test coverage and reproducible builds.
๐ฒ. ๐ฃ๐ฒ๐ฟ๐ณ๐ผ๐ฟ๐บ๐ฎ๐ป๐ฐ๐ฒ ๐ข๐ฝ๐๐ถ๐บ๐ถ๐๐ฎ๐๐ถ๐ผ๐ป
โข Write efficient, scalable Python code.
โข Profiling with `cProfile`, using `asyncio` for I/O-bound tasks, C extensions with `Cython` ~ identify bottlenecks in CPU vs. I/O.
๐ณ. ๐๐ฒ๐๐ถ๐ด๐ป ๐ฃ๐ฎ๐๐๐ฒ๐ฟ๐ป๐ & ๐๐น๐ฒ๐ฎ๐ป ๐๐ผ๐ฑ๐ฒ
โข Structure maintainable and scalable applications.
โข SOLID principles, factory patterns, dependency injection, and writing PEP 8-compliant code ~ make code readable and extensible.
๐ด. ๐ฃ๐ฎ๐ฐ๐ธ๐ฎ๐ด๐ถ๐ป๐ด, ๐๐ป๐๐ถ๐ฟ๐ผ๐ป๐บ๐ฒ๐ป๐๐ & ๐๐ฒ๐ฝ๐น๐ผ๐๐บ๐ฒ๐ป๐
โข Manage dependencies and deploy applications reliably.
โข `pip`, `venv`, `virtualenv`, `poetry`, and deploying to cloud platforms (AWS/GCP) ~ dependency isolation and environment configuration.
๐ต. ๐ฆ๐ฒ๐ฐ๐๐ฟ๐ถ๐๐ ๐๐ฒ๐๐ ๐ฃ๐ฟ๐ฎ๐ฐ๐๐ถ๐ฐ๐ฒ๐
โข Protect applications from common vulnerabilities.
โข Input validation, preventing SQL injection with ORMs, securing API keys, and using HTTPS ~ never trust user input.
๐๐ผ๐ ๐๐ผ ๐๐๐๐ฑ๐ ๐ณ๐ผ๐ฟ ๐ฃ๐๐๐ต๐ผ๐ป ๐๐ฒ๐๐ฒ๐น๐ผ๐ฝ๐ฒ๐ฟ ๐ถ๐ป๐๐ฒ๐ฟ๐๐ถ๐ฒ๐๐ (๐บ๐ ๐ฎ๐ฑ๐๐ถ๐ฐ๐ฒ):
โข Understand the theory, but master the implementation: Know why a list comprehension is faster, but also write it fluently.
โข Learn to debug systems, not just code: Use logging, monitoring, and profiling to understand runtime behavior.
โข Always ask: "How will this scale with more users or data?"
This isnโt an exhaustive list. You should also look into cloud services (AWS Lambda, Azure Functions), advanced asyncio, and system design for large-scale applications.
๐ Recommended Resource
To deepen your practical knowledge specifically in the Web Frameworks area (Point #2), you may find this comprehensive ebook useful:
"Python for Web Development: Flask, FastAPI & Django"
It provides practical, hands-on knowledge to help you master these three essential frameworks, from fundamentals to deployment.
๐
codewithdhanian.gumroad.com/โฆ
What else would you add that should be covered for a Python Developer role?