October 2025
Beginner to intermediate
370 pages
9h 12m
English
In this chapter, you’ll step into the role of a land use analyst working for a public agency in Paris, France. Your mission: to build an application that allows users to select specific parks and gardens across the city and analyze their vegetation health using the Normalized Difference Vegetation Index (NDVI) over a growing season. Users will be able to compare NDVI data across multiple seasons to monitor how urban green spaces change over time.
This project showcases how Taipy can go beyond standard tabular data workflows. You’ll learn how to work with geographic data and satellite imagery, which is relevant in fields ranging from agriculture and forestry to climate research, urban ...
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