Advanced Python GIS Engineering Cloud-Native, Open-Source Spatial Workflows for Remote Sensing & Scalable Applications Build production-ready, cloud-native GIS applications using modern Python tools and open-source workflows. Whether you're a geospatial developer, data scientist, or remote sensing engineer, this hands-on guide will take you from local shapefiles to scalable cloud deployments using the most powerful spatial tools available in 2025. This is not a theory book . You'll build, automate, and deploy real ...
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Advanced Python GIS Engineering Cloud-Native, Open-Source Spatial Workflows for Remote Sensing & Scalable Applications Build production-ready, cloud-native GIS applications using modern Python tools and open-source workflows. Whether you're a geospatial developer, data scientist, or remote sensing engineer, this hands-on guide will take you from local shapefiles to scalable cloud deployments using the most powerful spatial tools available in 2025. This is not a theory book . You'll build, automate, and deploy real-world geospatial pipelines step by step - using Python, GeoPandas, Rasterio, Earth Engine, Leafmap, STAC, TiTiler, FastAPI, Streamlit, AWS, and Docker. What You'll Master Inside This Book: Engineering-ready Python GIS stack setup using Conda, pipx, and Docker Processing shapefiles, GeoJSON, and raster data at scale with GeoPandas & Rasterio Cloud-based remote sensing pipelines using Google Earth Engine Python API Serving COGs and dynamic tiles with TiTiler, STAC, and CloudFront Building interactive dashboards with Streamlit , Deck.gl , and Folium Automating spatial ETL pipelines with Prefect and Airflow Deploying FastAPI-based geospatial services on AWS Lambda & GCP Functions Creating production-ready workflows with CI/CD, GitHub Actions, and Terraform Real-world projects: Land use detection, asset tracking, urban growth mapping & more Tools & Technologies Covered Python 3.10+ , GeoPandas, Rasterio, Xarray, Leafmap, Dask Cloud Platforms : AWS S3, Google Cloud Storage, STAC, TiTiler Visualization : ipyleaflet, Pydeck, Mapbox GL JS Automation : Docker, Prefect, GitHub Actions, Terraform APIs & Apps : FastAPI, Streamlit, Heroku, Serverless Framework Who This Book Is For GIS Developers & Engineers Remote Sensing Analysts Geospatial Data Scientists Freelancers & Technical Consultants Professionals migrating from desktop GIS to modern Python and cloud-first workflows What Makes This Book Different? This book goes beyond GeoPandas tutorials - it gives you engineering-grade, modern GIS pipelines that scale from your laptop to cloud infrastructure. Every chapter builds toward real deployment, automation, and production-readiness - no fluff, no theory, just results. Includes: Full reproducible Code Representations in Courier New and red formatting Real-world open datasets with COGs, STAC, GeoParquet, and metadata Docker, CI/CD, and deployment recipes for Heroku, Lambda, and Streamlit Cloud Portfolio-ready projects for GitHub and freelance applications Don't just analyze maps - build systems that serve them. If you're ready to future-proof your GIS skillset and deploy real applications, this is the book you've been looking for.
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Add this copy of Advanced Python GIS Engineering: Cloud-Native, Open to cart. £16.90, like new condition, Sold by GreatBookPricesUK5 rated 4.0 out of 5 stars, ships from Castle Donington, DERBYSHIRE, UNITED KINGDOM, published 2025 by Independently Published.
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Add this copy of Advanced Python GIS Engineering: Cloud-Native, Open to cart. £17.12, new condition, Sold by GreatBookPricesUK5 rated 4.0 out of 5 stars, ships from Castle Donington, DERBYSHIRE, UNITED KINGDOM, published 2025 by Independently Published.
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New. Trade paperback (US). Glued binding. 246 p. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited shipping will be cancelled. Over 3, 000, 000 happy customers.
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Fine. Trade paperback (US). Glued binding. 246 p. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited shipping will be cancelled. Over 3, 000, 000 happy customers.
Add this copy of Advanced Python GIS Engineering: Cloud-Native, Open to cart. £24.49, new condition, Sold by GreatBookPrices rated 4.0 out of 5 stars, ships from Columbia, MD, UNITED STATES, published 2025 by Independently Published.
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New. Trade paperback (US). Glued binding. 246 p. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited shipping will be cancelled. Over 3, 000, 000 happy customers.
