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"Hands-On APIs for AI and Data Science: Python Development with FastAPI" by Ryan Day is a practical guide designed for data scientists and software developers eager to build and use APIs within AI and data science projects. The book emphasizes hands-on experience with Python programming and popular frameworks like FastAPI and Streamlit.
It teaches readers to:
Design APIs suited for data science and AI workflows
Develop APIs using FastAPI in Python
Deploy APIs on various cloud platforms
Create data science projects, including visualizations and models, that consume APIs as data sources
Access APIs using generative AI and large language models (LLMs)
Through chapter projects, readers build portfolio-ready applications and deepen their understanding of API development and deployment in real-world AI and data science contexts.
The author, Ryan Day, is an experienced data scientist and Python developer who contributes to the FastAPI project and holds relevant certifications, bringing practical expertise to the book.
Overall, this book equips readers with essential API skills critical for modern AI and data science success, focusing on practical, deployable solutions with Python and FastAPI.
Overall, this book equips readers with essential API skills critical for modern AI and data science success, focusing on practical, deployable solutions with Python and FastAPI.
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