March 2025
Intermediate to advanced
352 pages
8h 51m
English
In Part II, you will consume the APIs you built in your data science project using industry-standard libraries and specifications:
Chapter 8 covers some topics that data scientists need to know about APIs and introduces your second portfolio project.
In Chapter 9, you will learn to use APIs for data analytics with Jupyter Notebooks.
In Chapter 10, you will build your API and data science skills by calling APIs in a data pipeline built with Apache Airflow.
In Chapter 11, you will build a Streamlit data app using data from an API.
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