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Series · Day 100 of 100

Python Backend Development

  1. 01
    Why Python is a great backend language in Python Backend
    Readable code, a huge ecosystem and frameworks for every kind of API.
  2. 02
    Setting up a Python project the modern way: a deep dive
    Virtual environments, dependency management and a clean layout.
  3. 03
    Python type hints explained: what developers should know
    Types make Python code easier to read, refactor and check.
  4. 04
    Python data structures you should know in Python Backend
    Choosing the right built-in makes code faster and clearer.
  5. 05
    List, dict and set comprehensions: a step-by-step guide
    Concise transformations — when they stay readable.
  6. 06
    Dataclasses in Python: a practical Python Backend guide
    Typed records without boilerplate.
  7. 07
    Python async await explained: what developers should know
    How asyncio runs many I/O tasks on one thread.
  8. 08
    Python generators and iterators: lessons from production
    Process huge data without loading it all into memory.
  9. 09
    Python decorators explained: what developers should know
    Wrap functions to add behavior without changing them.
  10. 10
    Context managers and the with statement in Python Backend
    Guarantee cleanup of files, locks and connections.
  11. 11
    Python error handling done right: lessons from production
    Exceptions that help you debug instead of hiding problems.
  12. 12
    Python logging for production: best practices explained
    print is not logging.
  13. 13
    FastAPI vs Django: which should you choose — a deep dive
    Two great frameworks with different strengths.
  14. 14
    FastAPI tutorial: your first API — a step-by-step guide
    Typed endpoints with automatic validation and docs.
  15. 15
    Pydantic models for request validation in Python Backend
    Define the shape once — get validation, parsing and docs.
  16. 16
    FastAPI response models: real-world lessons and examples
    Control exactly what your API returns.
  17. 17
    Dependency injection in FastAPI: lessons from production
    Depends() for database sessions, auth and shared logic.
  18. 18
    Organizing a FastAPI project: what developers should know
    Structure that survives fifty endpoints.
  19. 19
    FastAPI authentication with JWT: lessons from production
    OAuth2 password flow and bearer tokens.
  20. 20
    Background tasks in FastAPI: what developers should know
    Run work after the response is sent.
  21. 21
    Async database access in FastAPI: lessons from production
    Async routes need async drivers.
  22. 22
    FastAPI middleware and CORS: what developers should know
    Cross-cutting concerns for every request.
  23. 23
    Error handling in FastAPI: practical tips and trade-offs
    Consistent error responses across the API.
  24. 24
    Testing FastAPI with pytest: what developers should know
    Fast, readable API tests.
  25. 25
    WebSockets in FastAPI: a practical Python Backend guide
    Real-time features with a few lines of code.
  26. 26
    Rate limiting FastAPI endpoints: lessons from production
    Protect login and expensive endpoints.
  27. 27
    Django project vs app: a practical Python Backend guide
    Understanding Django's building blocks.
  28. 28
    Django models and migrations: what developers should know
    Define your schema in Python and let Django track changes.
  29. 29
    Django ORM queries you will use daily: a practical guide
    Filter, aggregate and avoid N+1 queries.
  30. 30
    Fixing N+1 queries in Django: what developers should know
    The most common Django performance problem.
  31. 31
    The Django admin, used well: what developers should know
    A free back office if you configure it.
  32. 32
    Django REST Framework tutorial: best practices explained
    Build a REST API on top of Django models.
  33. 33
    DRF serializers in depth: a hands-on guide for engineers
    Serializers are where validation and shape live.
  34. 34
    Django REST API authentication: best practices explained
    Sessions, tokens and JWT — choose one per client type.
  35. 35
    Pagination and filtering in DRF: lessons from production
    Never return every row.
  36. 36
    Django settings for multiple environments for production
    One codebase, many environments.
  37. 37
    Django signals: use with care — best practices explained
    Signals decouple code — and hide it.
  38. 38
    Django class-based vs function-based views: a deep dive
    Both are valid. Be consistent.
  39. 39
    Celery for background jobs in Python Backend Development
    Reliable async work for Django and FastAPI.
  40. 40
    Caching in Django: a Python Backend guide for developers
    Make slow pages and queries fast.
  41. 41
    Testing Django apps with pytest: lessons from production
    pytest-django makes Django tests pleasant.
  42. 42
    SQLAlchemy 2.0 basics: a practical Python Backend guide
    The modern, typed SQLAlchemy API.
  43. 43
    SQLAlchemy relationships and loading: a practical guide
    Load related data without surprise queries.
  44. 44
    Database migrations with Alembic: lessons from production
    Version-controlled schema changes for SQLAlchemy.
  45. 45
    Connection pooling in Python apps: a step-by-step guide
    Too many connections kill databases.
  46. 46
    Repository pattern in Python: what developers should know
    Separate data access from business logic.
  47. 47
    Redis with Python: a Python Backend guide for developers
    Caching, rate limits and queues.
  48. 48
    MongoDB with Python: a Python Backend guide for developers
    PyMongo and Motor for document data.
  49. 49
    Python async patterns for APIs: best practices explained
    Concurrency patterns that keep APIs fast.
  50. 50
    Calling HTTP APIs with httpx: what developers should know
    A modern client for sync and async code.