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Tag: FastAPI
FastAPI Cookbook: Develop high-performance APIs and web applications with Pyt…
FastAPI Cookbook: Develop high-performance APIs and web applications with Pyt…
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hon and FastAPIFastAPI is a modern web framework for building APIs in Python. It is known for its high performance and ease of use, making it a popular choice for developing web applications and APIs. In this FastAPI Cookbook, we will explore various recipes and best practices for developing high-performance APIs and web applications with FastAPI.
1. Setting up a FastAPI project: Learn how to set up a new FastAPI project and structure your code for optimal performance.
2. Handling requests and responses: Explore how to handle different types of requests and responses in FastAPI, including JSON, form data, and file uploads.
3. Authentication and authorization: Implement authentication and authorization mechanisms in your FastAPI application to secure your APIs and protect sensitive data.
4. Database interactions: Connect your FastAPI application to a database and perform CRUD operations using popular ORMs like SQLAlchemy or Tortoise-ORM.
5. Testing and debugging: Learn how to write unit tests for your FastAPI application and debug common issues to ensure the reliability of your APIs.
6. Deployment and scaling: Deploy your FastAPI application to production and scale it to handle high traffic using tools like Docker, Kubernetes, and AWS.
7. Performance optimization: Optimize the performance of your FastAPI application by profiling and tuning your code, caching responses, and using asynchronous programming with asyncio.
Whether you are a beginner or an experienced developer, this FastAPI Cookbook will help you master the art of building high-performance APIs and web applications with Python and FastAPI. Stay tuned for more recipes and tips to level up your FastAPI skills!
#FastAPI #Cookbook #Develop #highperformance #APIs #web #applications #Pyt.., high-performance computing
Building Generative AI Services with FastAPI: A Practical Approach to Developing Context Rich Generative AI Applications
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(as of Dec 18,2024 00:07:40 UTC – Details)
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Our customers are hungry to build the innovations that propel the world forward. And we help them do just that.
Publisher : O’Reilly Media; 1st edition (June 3, 2025)
Language : English
Paperback : 400 pages
ISBN-10 : 1098160304
ISBN-13 : 978-1098160302
Item Weight : 1.11 pounds
Building Generative AI Services with FastAPI: A Practical Approach to Developing Context Rich Generative AI ApplicationsIn the world of artificial intelligence, generative models have become increasingly popular for their ability to create new content based on existing data. FastAPI, a modern web framework for building APIs with Python, provides a powerful and efficient way to develop and deploy generative AI services.
In this post, we will explore how to leverage FastAPI to create context-rich generative AI applications. We will walk through the process of designing and implementing a generative model using popular libraries such as TensorFlow and PyTorch, and then expose it through a FastAPI API for easy integration with other services.
By the end of this post, you will have a solid understanding of how to build generative AI services with FastAPI, enabling you to create innovative and interactive applications that can generate content in a wide range of domains, from text and images to music and video.
Stay tuned for our upcoming tutorials where we will dive deeper into specific use cases and advanced techniques for building generative AI applications with FastAPI!
#Building #Generative #Services #FastAPI #Practical #Approach #Developing #Context #Rich #Generative #Applications
High-Performance Web Apps with FastAPI: The Asynchronous Web Framewo – VERY GOOD
High-Performance Web Apps with FastAPI: The Asynchronous Web Framewo – VERY GOOD
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High-Performance Web Apps with FastAPI: The Asynchronous Web FrameworkFastAPI is a modern web framework for building high-performance web applications with Python. It is built on top of Starlette for the web parts and Pydantic for the data parts, making it a powerful and efficient tool for developing APIs and web services.
With its support for asynchronous programming, FastAPI allows developers to take advantage of the performance benefits of asynchronous I/O operations. This means that your web applications can handle a large number of concurrent connections efficiently, leading to faster response times and improved scalability.
FastAPI also comes with automatic validation and serialization of request and response data, making it easy to work with complex data structures without sacrificing performance. Its built-in support for OpenAPI and JSON Schema documentation can help you create well-documented APIs with minimal effort.
Overall, FastAPI is a fantastic choice for developers looking to build high-performance web applications with Python. Its asynchronous capabilities, automatic data validation, and built-in documentation tools make it a powerful and efficient framework for building web services. If you haven’t already, give FastAPI a try and see for yourself just how good it is!
#HighPerformance #Web #Apps #FastAPI #Asynchronous #Web #Framewo #GOOD
