Introduction to GIS Programming A Practical Python Guide to Open Source Geospatial Tools

This book is designed for a diverse audience of learners who want to harness the power of Python for

geospatial analysis and visualization:

Students and Researchers in geography, environmental science, urban planning, data science, and

related fields who need to analyze spatial data as part of their studies or research. No prior programming

experience is assumed, though basic familiarity with computers and data analysis concepts is helpful.

GIS Professionals who currently use desktop GIS software and want to expand their toolkit with

programming skills. If you’ve worked with ArcGIS, QGIS, or similar tools and want to automate workflows

or perform analyses that are challenging in traditional GIS software, this book will help you make that

transition.

Data Scientists and Analysts who work with location-based data and want to add spatial analysis

capabilities to their skillset. If you’re comfortable with Python basics but new to geospatial concepts, this

book will introduce you to the spatial thinking and tools you need.

Software Developers interested in building applications that work with geospatial data. Whether you’re

developing web mapping applications, mobile apps with location features, or data processing pipelines,

this book provides the foundation you need.

Self-Learners and Career Changers who are interested in the growing field of geospatial data science.