Note: This project uses GraphQL, which is considered a legacy technology. While it's still widely used and valuable to learn, it's important to be aware that newer alternatives exist in the API development landscape. This project is a personal learning initiative to understand and implement GraphQL in a practical context. It's designed as a job platform where I can experiment with GraphQL concepts, best practices, and real-world implementations.
- Understanding GraphQL fundamentals and its advantages over REST
- Implementing GraphQL schemas and types
- Working with GraphQL queries and mutations
- Handling authentication and authorization in GraphQL
- Managing relationships between different data types
- Implementing real-time features using GraphQL subscriptions
- Best practices for GraphQL API design
The project follows Django's project structure with GraphQL integration:
job_platform/
├── jobs/ # Job-related models and GraphQL types
├── users/ # User authentication and management
├── graphql_api/ # GraphQL schema and resolvers
├── utils/ # Utility functions and helpers
└── job_platform/ # Main project settings
- Python 3.13
- Django 5.2.1
- GraphQL (via graphene-django 3.2.3)
- JWT Authentication (django-graphql-jwt 0.4.0)
- Database: PostgreSQL
- graphene==3.4.3
- graphene-django==3.2.3
- django-graphql-jwt==0.4.0
- PyJWT==2.10.1
While building this project, I'm following these resources:
This project serves as a practical learning ground for:
- Understanding GraphQL's declarative data fetching
- Implementing efficient data loading patterns
- Building a scalable API architecture
- Learning GraphQL security best practices
- Understanding the relationship between GraphQL and databases
The project uses PostgreSQL as its database, providing robust and reliable data storage suitable for handling large datasets. PostgreSQL support ensures smooth operation in both development and production environments