Название: Hands-On APIs for AI and Data Science: Python Development with FastAPI
Автор: Ryan Day
Издательство: O’Reilly Media, Inc.
Год: 2025
Страниц: 443
Язык: английский
Формат: epub
Размер: 10.1 MB

To succeed in AI and Data Science, you must first master APIs. API skills are essential for AI and Data Science success. With this practical book, data scientists and software developers will gain hands-on experience developing and using APIs with the Python programming language and popular frameworks like FastAPI and StreamLit.

Part 1 takes you step-by-step through coding projects to build APIs using Python and FastAPI and deploy them in the cloud. Part 2 teaches you to consume APIs in a Data Science project using industry-standard tools. And in Part 3, you'll use ChatGPT, the LangChain framework, and other tools to access your APIs with Generative AI and large language models (LLMs).

As you complete the chapters in the book, you'll be creating a professional online portfolio demonstrating your new skill with APIs, AI, and Data Science.

Data scientists use APIs all the time, so there’s a temptation to think there’s nothing new to learn about using APIs. Isn’t calling an API just a few lines of code? It’s true that making one call to a REST API is a simple task, which is certainly a reason they have become so prevalent. But using an API in a way that is robust and resilient—and that doesn’t cause problems for the provider—requires more care.
This book will teach some techniques you may not have learned yet, such as:

• Developing and deploying APIs
• Creating software development kits (SDKs) and API clients
• Creating and publishing Python packages to PyPI
• Publishing machine learning models as APIs
• Creating Streamlit data apps
• Creating Airflow data pipelines
• Creating generative AI applications using LangChain and ChatGPT

You'll learn how to:

Design APIs that data scientists and AIs love
Develop APIs using Python and FastAPI
Deploy APIs using multiple cloud providers
Create data science projects such as visualizations and models using APIs as a data source
Access APIs using generative AI and LLMs

Who This Book Is For:
Since this book sits at the intersection of APIs, AI, and Data Science, it will be valuable to several types of readers.