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Series · Day 100 of 100

Python Backend Development

  1. 51
    Python settings with pydantic-settings in Python Backend
    Typed configuration from environment variables.
  2. 52
    Security checklist for Python APIs: a step-by-step guide
    The issues that show up in real audits.
  3. 53
    Hashing passwords in Python: what developers should know
    Use a slow, salted algorithm.
  4. 54
    File uploads in FastAPI and Django: a step-by-step guide
    Accept files safely.
  5. 55
    Sending email from Python apps: best practices explained
    Reliable transactional email.
  6. 56
    Python for CLI tools: a practical Python Backend guide
    Build internal tools developers enjoy using.
  7. 57
    pytest fixtures explained: practical tips and trade-offs
    Reusable setup that keeps tests short.
  8. 58
    Mocking in Python tests: real-world lessons and examples
    Replace slow or external dependencies.
  9. 59
    Integration tests with Testcontainers in Python explained
    Real Postgres and Redis in your test suite.
  10. 60
    Code quality: ruff, mypy and pre-commit in Python Backend
    Automate style and type checks.
  11. 61
    Profiling slow Python code in Python Backend Development
    Find the real bottleneck before optimizing.
  12. 62
    The GIL explained: a Python Backend guide for developers
    Why Python threads do not run CPU work in parallel — yet.
  13. 63
    Python multiprocessing for CPU work: a step-by-step guide
    Use every core for heavy computation.
  14. 64
    Deploying FastAPI with Docker: best practices explained
    A small, production-ready image.
  15. 65
    Deploying Django to production: best practices explained
    The checklist before go-live.
  16. 66
    Python API deployment options: best practices explained
    Where to run Python APIs in 2026.
  17. 67
    Gunicorn vs Uvicorn: a Python Backend guide for developers
    Choosing an application server.
  18. 68
    Observability for Python services: a step-by-step guide
    Know what your service is doing.
  19. 69
    OpenTelemetry tracing in FastAPI: lessons from production
    Trace requests across services.
  20. 70
    Python packaging basics: real-world lessons and examples
    Share code across services.
  21. 71
    Clean architecture in Python: what developers should know
    Keep frameworks at the edge.
  22. 72
    Django vs Flask vs FastAPI in Python Backend Development
    Three popular frameworks compared.
  23. 73
    Python enums and Literal types: best practices explained
    Model fixed sets of values safely.
  24. 74
    Python match statements: real-world lessons and examples
    Structural pattern matching for cleaner branching.
  25. 75
    Working with dates and time zones: a step-by-step guide
    Bugs hide in naive datetimes.
  26. 76
    Python for web scraping, responsibly: a practical guide
    Collect data without breaking sites or rules.
  27. 77
    Building a CRUD API with FastAPI and SQLAlchemy explained
    A full feature from model to endpoint.
  28. 78
    Python interview questions: fundamentals for production
    Questions that test real understanding.
  29. 79
    Python backend interview questions: a step-by-step guide
    What interviewers ask senior Python developers.
  30. 80
    Common Python errors and fixes: best practices explained
    Errors every developer hits — and how to fix them.
  31. 81
    FastAPI common mistakes: real-world lessons and examples
    Pitfalls that slow down FastAPI apps.
  32. 82
    Django common mistakes: a practical Python Backend guide
    Pitfalls that hurt Django apps in production.
  33. 83
    Building a Python microservice: best practices explained
    Small, focused services that are easy to run.
  34. 84
    Kafka with Python: a Python Backend guide for developers
    Produce and consume events from Python services.
  35. 85
    gRPC with Python: Python Backend lessons from production
    Fast, typed service-to-service calls.
  36. 86
    Python and AI: calling LLM APIs — lessons from production
    Add AI features to Python backends.
  37. 87
    Python performance tips that matter: a step-by-step guide
    Real wins in real backends.
  38. 88
    Upgrading Python versions safely: lessons from production
    Stay current without breaking production.
  39. 89
    Python project structure for large codebases in practice
    Keep growing codebases navigable.
  40. 90
    Python backend developer roadmap: lessons from production
    What to learn, in order.
  41. 91
    When not to use Python: a practical Python Backend guide
    Know the trade-offs.
  42. 92
    Python virtual environments explained: a practical guide
    Why every project needs its own environment.
  43. 93
    FastAPI dependency injection for auth and roles explained
    Reusable guards with Depends.
  44. 94
    Django custom user model: a hands-on guide for engineers
    Set it up on day one.
  45. 95
    Django middleware explained: what developers should know
    Hooks around every request and response.
  46. 96
    Pydantic v2 performance and features: a practical guide
    Faster validation and a cleaner API.
  47. 97
    Python dependency injection without a framework explained
    Pass dependencies explicitly.
  48. 98
    Uploading to S3 with boto3 in Python Backend Development
    Store files the scalable way.
  49. 99
    Server-sent events in FastAPI: best practices explained
    Stream updates to browsers without WebSockets.
  50. 100
    100 days of Python backend development: the recap explained
    The lessons that matter most.