| File Name: | FastAPI Mastery: Build Modern APIs with Python |
| Content Source: | https://www.udemy.com/course/fastapi-masterclass-python-api-development |
| Genre / Category: | Programming |
| File Size : | 5.1 GB |
| Publisher: | Uplatz Training |
| Updated and Published: | September 27, 2025 |
FastAPI is a modern, high-performance web framework for building APIs with Python 3.7+, based on standard Python type hints. FastAPI is one of the fastest-growing web frameworks in the Python ecosystem. Known for its speed, simplicity, and production readiness, FastAPI makes it easier than ever to build scalable and high-performance RESTful APIs.
It is designed to be:
- Fast → Built on Starlette (for web handling) and Pydantic (for data validation), making it one of the fastest Python frameworks available.
- Easy to use → Its declarative style with type hints makes APIs quick to develop and maintain.
- Data validation ready → Every request and response can be automatically validated against Pydantic models.
- Production-ready → Includes built-in support for async, OpenAPI documentation, and OAuth2/JWT security.
How FastAPI Works
At its core, FastAPI integrates:
- Starlette → Handles HTTP requests, routing, and background tasks.
- Pydantic → Handles serialization, deserialization, and validation of request/response data.
- Python type hints → Used to automatically generate request validation rules and API documentation.
- Automatic docs → Built-in OpenAPI and Swagger UI docs are generated without extra configuration.
Real-World Applications Built with FastAPI
FastAPI is used by startups and enterprises alike because of its speed, scalability, and simplicity. Some well-known real-world uses:
- Netflix → Uses FastAPI for asynchronous event-driven systems in their internal data platform.
- Uber → Employs FastAPI for parts of its machine learning platform to handle high-throughput requests.
- Microsoft → Uses FastAPI in their production services for building APIs at scale.
- Explosion AI (spaCy creators) → Built the API behind spaCy, Prodigy, and other NLP tools using FastAPI.
- Data Science & ML Teams → Widely use FastAPI to serve ML models as REST APIs, especially with frameworks like PyTorch and TensorFlow.
- Finance & Healthcare Apps → Because of its speed and validation, it’s popular for fintech APIs and HIPAA-compliant healthcare APIs.
DOWNLOAD LINK: FastAPI Mastery: Build Modern APIs with Python
FastAPI_Mastery_Build_Modern_APIs_with_Python.part1.rar – 1000.0 MB
FastAPI_Mastery_Build_Modern_APIs_with_Python.part2.rar – 1000.0 MB
FastAPI_Mastery_Build_Modern_APIs_with_Python.part3.rar – 1000.0 MB
FastAPI_Mastery_Build_Modern_APIs_with_Python.part4.rar – 1000.0 MB
FastAPI_Mastery_Build_Modern_APIs_with_Python.part5.rar – 1000.0 MB
FastAPI_Mastery_Build_Modern_APIs_with_Python.part6.rar – 30.1 MB
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