API Development with Django REST Framework - Master DRF In Just 4 Hours

Summary of Technological Concepts & DRF Features Covered

Course goal / structure

• Beginner-focused walkthrough of Django REST Framework (DRF) API development.
• Covers the workflow from environment setup to building and testing realistic REST APIs.
• Mentions the course is part of a larger full-stack + ML series (later integrating React and machine learning).

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1) Environment setup & tools (guide)

Recommended tools:

• VS Code as code editor
• Terminal (Git Bash suggested for Windows)
• Postman as an API client
• Mentions Anaconda/Miniconda + Jupyter Notebook for the ML series

Development setup involves:

• Creating a Django virtual environment

• Installing Django and DRF bash pip install django djangorestframework

• Creating a Django project and running the server

• Registering DRF in INSTALLED_APPS

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2) Core API / REST concepts (analysis + explanation)

• API definition: two-way communication between frontend (client) and backend (server).
• REST basics:
  • Stateless: server forgets client state between requests
  • Client-server architecture
  • Standard HTTP methods:
    • GET retrieve
    • POST create
    • PUT update
    • DELETE remove
  • URI-based resources

Shows CRUD-style endpoint patterns:

• /students for collection actions
• /students/<id> for item actions

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3) Creating API vs Web endpoints (tutorial)

Differentiates:

• Web endpoints: can be visited in a browser; returns HTML/HTTP response
• API endpoints: intended for programmatic access; returns JSON

Includes routing patterns with URL namespaces like:

• API versioning in paths (e.g., api/v1/...)

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4) DRF basics with function-based views: responses, serializers, CRUD

Initial “Hello world” API

• Creates a simple endpoint returning static JSON using JsonResponse.

Dynamic data with a model + database

• Builds a Student model in a students app.
• Creates admin UI entries (superuser + Django admin).
• Runs migrations, then uses the API to return student records.

Manual serialization (temporary approach)

• Uses JsonResponse with safe=False and converts querysets to lists manually.
• Explains that this manual method is not recommended for real APIs.

Proper serialization with DRF serializers

• Introduces ModelSerializer to convert models/querysets into JSON.
• Implements a StudentSerializer.
• Uses DRF Response and status codes (e.g., 200 OK, 201 Created, 400 Bad Request, etc.).
• Uses @api_view decorator with allowed methods:
  • GET: list students
  • POST: create student with validation via serializer.is_valid()

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5) Primary key-based operations (function-based views)

• Adds endpoints like:
  • /students/<int:pk>/
• Implements:
  • GET single object (returns 404 if not found)
  • PUT update object (returns 200 on success)
  • DELETE object (returns 204 No Content)
• Uses Student.objects.get(pk=pk) and exception handling.

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6) Class-based views (CBVs) for CRUD

• Repeats CRUD logic using class-based API views (APIView).
• Uses member methods:
  • get(), post(), put(), delete()
• Notes CBVs reduce “manual” branching confusion compared to function-based patterns.

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7) Mixins to reduce code (CRUD compression)

Uses DRF mixins + generic API views:

• ListModelMixin + CreateModelMixin
• RetrieveModelMixin
• UpdateModelMixin
• DestroyModelMixin

Demonstrates CRUD can be achieved with minimal method definitions:

• return self.list(...)
• return self.create(...)
• return self.retrieve(...), etc.

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8) Generics for even less code

• Uses DRF generic classes that combine common patterns:
  • ListCreateAPIView
  • RetrieveUpdateDestroyAPIView
• Configured with:
  • queryset
  • serializer_class
  • lookup_field for PK operations
• Emphasizes major reductions in required boilerplate code.

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9) ViewSets + Routers

• Introduces ViewSets and ModelViewSet
• Uses a router (DefaultRouter) to auto-generate URL routes.

ViewSet responsibilities:

• A single class handles multiple actions: list, create, retrieve, update, delete

Mentions:

• The need for base_name when not using ModelViewSet (but not when using it).

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10) Nested serializers (one-to-many relationships)

• Builds a Blog app:
  • Blog model
  • Comment model with ForeignKey(blog, related_name="comments", on_delete=CASCADE)
• Implements nested serializers:
  • BlogSerializer includes comments = CommentSerializer(many=True, read_only=True)
• Demonstrates API output:
  • Fetching blogs returns each blog with an associated comments array.

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11) Pagination

Covers DRF pagination strategies:

• PageNumberPagination
• LimitOffsetPagination
• Mentions CursorPagination

Implements global pagination via REST_FRAMEWORK settings:

• DEFAULT_PAGINATION_CLASS
• PAGE_SIZE

Also implements custom pagination:

• Custom query params (e.g., page_num)
• Custom response fields (next/previous links, count, results)

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12) Filtering with django-filter

• Installs and configures django-filter: bash pip install django-filter

• Enables default filter backend globally:

  • DEFAULT_FILTER_BACKENDS = [DjangoFilterBackend]

Filtering examples:

• Filter by designation
• Custom case-insensitive filters:
  • CharFilter with lookup iexact
• Case-insensitive substring search:
  • icontains
• Custom “ID range” filtering for character-based IDs (m002 to m006)
  • Implements filter methods using gte/lte comparisons for m_id

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13) Search filtering

• Uses DRF SearchFilter:
  • filter_backends = [SearchFilter]
  • search_fields = [...] (e.g., title, body)
• Demonstrates query parameters:
  • search= by default
  • customization via SEARCH_PARAM (e.g., q=)

Search operators:

• starts-with behavior via ^ (carat)
• vs contains behavior

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14) Ordering (sorting)

• Uses DRF OrderingFilter
• Configures:
  • ordering_fields = [...]
• Demonstrates ascending/descending:
  • descending uses -fieldname
• Mentions overriding ordering query parameter via settings.

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Main speakers / sources

• Primary speaker/creator: Ran (intro: “my name is ran”)
• Primary technical source referenced: Django REST Framework official documentation (djangorestframework.org)