Ashmi Banerjee

Build your backend using FastAPI

Stop wrestling with boilerplate code. Learn how FastAPI's automatic docs and data validation let you build high-performance Python backends faster.

Build your backend using FastAPI
#1about 2 minutes

Prerequisites and agenda for the FastAPI talk

The talk requires a basic understanding of Python and web development concepts to cover web architecture, framework comparisons, and a FastAPI implementation.

#2about 2 minutes

Understanding modern versus traditional web architecture

Web architecture has shifted from monolithic servers rendering all HTML to a modern approach using a CDN for static assets and APIs for dynamic JSON data.

#3about 6 minutes

Comparing Django, Flask, and FastAPI frameworks

Django is a full-stack framework, Flask is a lightweight alternative, and FastAPI excels at building modern APIs with less boilerplate code.

#4about 1 minute

Exploring the key features and benefits of FastAPI

FastAPI offers automatic interactive documentation via Swagger UI, asynchronous operations for performance, and built-in data validation to simplify development.

#5about 5 minutes

Implementing an ML image classifier with FastAPI

Learn how to serve a machine learning model by creating GET and POST endpoints in FastAPI to handle image URL input and return predictions as JSON.

#6about 2 minutes

Running the server and demonstrating the API

The application is run using Uvicorn, and a live demo shows how to interact with the API endpoints directly in the browser using the auto-generated documentation.

#7about 1 minute

Preparing your FastAPI application for production

Key steps after development include writing thorough tests, containerizing the application with Docker, and deploying it to a cloud service for accessibility.

#8about 2 minutes

Recap and audience questions on FastAPI

The talk concludes with a summary of FastAPI's benefits and a Q&A session covering comparisons to TensorFlow Serve and the use of async functions.

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Matching moments

What is FastAPI and why is it so popular
02:03 MIN

What is FastAPI and why is it so popular

Intro to FastAPI

Q&A on the design philosophy and future of FastAPI
03:26 MIN

Q&A on the design philosophy and future of FastAPI

Intro to FastAPI

Achieving high performance with async support
02:30 MIN

Achieving high performance with async support

Intro to FastAPI

Q&A on serverless, GitHub issues, and Python evolution
04:04 MIN

Q&A on serverless, GitHub issues, and Python evolution

Intro to FastAPI

Case study: Accelerating development with REST and OpenAPI
01:09 MIN

Case study: Accelerating development with REST and OpenAPI

The Great API Debate: REST, GraphQL, or gRPC?

Exploring advanced features like dependency injection
02:23 MIN

Exploring advanced features like dependency injection

Intro to FastAPI

Q&A on tooling, docs, and framework comparisons
08:36 MIN

Q&A on tooling, docs, and framework comparisons

Intro to FastAPI

Building on open standards and Python type hints
02:33 MIN

Building on open standards and Python type hints

Intro to FastAPI

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