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:
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In Chapter 1, you will begin your portfolio project by understanding the user needs and selecting use cases to fulfill.
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In Chapter 2, you will select an API architecture and start creating an API to fulfill the needs of data scientists.
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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.
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In Chapter 4, you will create the FastAPI code to use this data and publish it as a REST API.
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In Chapter 5, you will document your API using FastAPI’s built-in capabilities.
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In Chapter 6, you will deploy your API to the cloud using Render and Amazon Web Services (AWS).
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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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