Price: $37.49
From the Publisher
What are the key takeaways of this book?
Python can help new and experienced GIS professionals perform analysis, data management, and cartography. Esri has integrated Python into all components of ArcGIS Pro and ArcGIS Online, making it a crucial skillset for any GIS professional. Python automation is something all ArcGIS users benefit from knowing, and helps make for a more lucrative and rewarding career.
In the book, you’ll see that geospatial data science is made easy using ArcGIS Pro and its integrated Notebooks. We teach you how to streamline your workflows in ArcGIS Pro and ArcGIS Online using Python, freeing up your time for other tasks. We made the choice to focus on using Notebooks for writing, storing, and sharing your code within ArcGIS Pro, because they make it easier to collaborate and share ideas.
What makes this book different from other books on Python for ArcGIS?
The new tools available in ArcGIS Pro, especially Notebooks, have made it possible to use ArcGIS in data science, but this has not been fully explained in any other resource. We also haven’t seen any advanced coverage of automating cartography with Python – which we build up to in this book from the basics.
The case studies demonstrate valuable real-world examples of applying Python to GIS workflows. In addition, ArcGIS API for Python can really help you automate many of your ArcGIS Online tasks, but it isn’t covered much in other books and the documentation from Esri is not as complete as for ArcPy and geoprocessing tools.
What is your favorite part of the book?
Bill: While map automation is something I have used extensively in my career, I really like the chapters on ArcGIS API for Python. They show you how you can manage your data and your team on ArcGIS Online using Python with Notebooks while in ArcGIS Pro.
Silas: The case studies we’ve included are unique and comprehensive, and help illustrate a professional level of Python analysis with GIS. They cover a broad variety of topics, including downloading attachments, using machine learning to predict crop yields, and producing a map series for an environmental justice report.
Publisher : Packt Publishing (April 29, 2022)
Language : English
Paperback : 586 pages
ISBN-10 : 1803241667
ISBN-13 : 978-1803241661
Item Weight : 2.19 pounds
Dimensions : 7.5 x 1.32 x 9.25 inches
Price: $37.49
