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Hands-On APIs for AI and Data Science
book

Hands-On APIs for AI and Data Science

by Ryan Day
March 2025
Intermediate to advanced
352 pages
8h 51m
English
O'Reilly Media, Inc.
Content preview from Hands-On APIs for AI and Data Science

Part I. Building APIs for Data Science

Part I of this book walks you step by step through example projects to build APIs using Python and FastAPI and deploy them to the cloud:

  • In Chapter 1, you will begin your portfolio project by understanding the user needs and selecting use cases to fulfill.

  • In Chapter 2, you will select an API architecture and start creating an API to fulfill the needs of data scientists.

  • In Chapter 3, you will create your database using SQLite, create Python code to read the database with SQLAlchemy, and perform unit testing with Pytest.

  • In Chapter 4, you will create the FastAPI code to use this data and publish it as a REST API.

  • In Chapter 5, you will document your API using FastAPI’s built-in capabilities.

  • In Chapter 6, you will deploy your API to the cloud using Render and Amazon Web Services (AWS).

  • In Chapter 7, you will create a software development kit (SDK) to make your API easier for Python developers to use.

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Publisher Resources

ISBN: 9781098164409Errata Page