Backend API Python/ Django/ Django REST Framework-trial backend API toolkit

Example

Django provides a powerful Object-Relational Mapping (ORM) system that simplifies interactions with the database by mapping Python objects to database tables.

Scenario

Consider an e-commerce application where you need to manage products, customers, and orders. Instead of writing raw SQL, you define models in Python that correspond to these entities. Django automatically handles the creation and manipulation of database tables based on these models, allowing you to focus on business logic rather than SQL queries.

Example

DRF provides serializers to convert complex data types, such as querysets and model instances, into Python-native datatypes (e.g., JSON). This is crucial for API responses.

Scenario

In a blogging platform, you might need to expose a list of blog posts to be displayed on a mobile app. Using serializers, you can convert a queryset of blog post objects into JSON format, which can be consumed by the frontend. Conversely, when creating a new post via API, DRF can deserialize the incoming JSON data back into a Python object and save it to the database.

Example

DRF offers built-in authentication schemes such as Token Authentication, Session Authentication, and support for third-party OAuth providers.

Scenario

Imagine you're developing a task management tool with different user roles (e.g., admin, user). Using DRF's authentication and permission classes, you can enforce that only authenticated users can access certain endpoints, while admins have full access to all resources. For instance, regular users may be allowed to create and update their tasks, but only admins can delete tasks.