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.

Related jobs
Jobs that call for the skills explored in this talk.

Matching moments

What is FastAPI and why is it so popular
00:17 MIN

What is FastAPI and why is it so popular

Intro to FastAPI

Q&A on the design philosophy and future of FastAPI
38:53 MIN

Q&A on the design philosophy and future of FastAPI

Intro to FastAPI

Achieving high performance with async support
21:20 MIN

Achieving high performance with async support

Intro to FastAPI

Q&A on serverless, GitHub issues, and Python evolution
26:13 MIN

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

Intro to FastAPI

Exploring advanced features like dependency injection
23:50 MIN

Exploring advanced features like dependency injection

Intro to FastAPI

Q&A on tooling, docs, and framework comparisons
30:17 MIN

Q&A on tooling, docs, and framework comparisons

Intro to FastAPI

Building on open standards and Python type hints
02:20 MIN

Building on open standards and Python type hints

Intro to FastAPI

Generating interactive API documentation automatically
08:20 MIN

Generating interactive API documentation automatically

Intro to FastAPI

Featured Partners

Related Videos

See all videos
Intro to FastAPI42:19

Intro to FastAPI

Sebastián Ramírez

The Great API Debate: REST, GraphQL, or gRPC?28:16

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

Alexis Yushin

Devouring APIs with Python59:07

Devouring APIs with Python

Shweta Palande

No more Node: Build APIs with Flask and test it with Postman47:11

No more Node: Build APIs with Flask and test it with Postman

Teri Eyenike

Full Stack Web Apps With Nothing But Python27:11

Full Stack Web Apps With Nothing But Python

Eli Holderness

How to make REST APIs in Django?56:06

How to make REST APIs in Django?

Kuldeep Pisda

Python-Based Data Streaming Pipelines Within Minutes39:04

Python-Based Data Streaming Pipelines Within Minutes

Bobur Umurzokov

Concurrency in Python33:44

Concurrency in Python

Fabian Schindler

From learning to earning

Jobs that call for the skills explored in this talk.