Urban Economics with Python: City Data, Housing, Transportation, and Land Use Analysis
Urban Economics with Python brings together urban economics and computational analysis, focusing on city data, housing, transportation, and land use. It offers a data-oriented framework for readers who want to explore how Python can support the study of cities, their structures, and their economic challenges.
About This Book
Urban Economics with Python focuses on the economic analysis of cities and the ways urban systems can be studied with data.
The book’s stated topics include housing, transportation, and land use, offering a broad view of central issues in urban economics.
Python provides the analytical setting for working with city data and examining patterns connected to urban development and policy.
It may appeal to students, researchers, and practitioners seeking a data-oriented perspective on cities and their economies.
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