Introduction to GIS Programming

Introduction

This repository contains the code examples for the book - Introduction to GIS Programming: A Practical Python Guide to Open Source Geospatial Tools

Stay tuned for more information about the book and its release date.

Table of Contents

• Preface
• Software Setup
  • Overview of Software Tools
  • Introduction to Python Package Management
  • Setting Up Visual Studio Code
  • Version Control with Git
  • Using Google Colab
  • Working with JupyterLab
  • Using Docker
• Python Programming Fundamentals
  • Variables and Data Types
  • Python Data Structures
  • String Operations
  • Loops and Conditional Statements
  • Functions and Classes
  • Working with Files
  • Data Analysis with NumPy and Pandas
• Geospatial Programming with Python
  • Introduction to Geospatial Python
  • Vector Data Analysis with GeoPandas
  • Working with Raster Data using Rasterio
  • Multi-dimensional Data Analysis with Xarray
  • Raster Analysis with Rioxarray
  • Interactive Visualization with Leafmap
  • Geoprocessing with WhiteboxTools
  • 3D Mapping with MapLibre
  • Cloud Computing with Earth Engine and Geemap
  • Hyperspectral Data Visualization with HyperCoast
  • High-Performance Geospatial Analytics with DuckDB
  • Geospatial Data Processing with GDAL and OGR
  • Building Interactive Dashboards with Voila and Solara
  • Distributed Computing with Apache Sedona

How to Run Code Examples

The code examples can be run using Docker.

docker pull giswqs/pygis:book
docker run -it -p 8888:8888 -v $(pwd):/app/workspace giswqs/pygis:book

Acknowledgments

This book was written using MyST Markdown and compiled using Typst with the min-book template. Credits to developers and maintainers of the Typst and MyST Markdown projects. Special thanks to @mayconfmelo for the min-book template and their help with customizing the template for this book.