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Python for ArcGIS Pro

You're reading from   Python for ArcGIS Pro Automate cartography and data analysis using ArcPy, ArcGIS API for Python, Notebooks, and pandas

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Product type Paperback
Published in Apr 2022
Publisher Packt
ISBN-13 9781803241661
Length 586 pages
Edition 1st Edition
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Authors (2):
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William Parker William Parker
Author Profile Icon William Parker
William Parker
Silas Toms Silas Toms
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Silas Toms
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Table of Contents (20) Chapters Close

Preface 1. Part I: Introduction to Python Modules for ArcGIS Pro
2. Introduction to Python for GIS FREE CHAPTER 3. Basics of ArcPy 4. ArcGIS API for Python 5. Part II: Applying Python Modules to Common GIS Tasks
6. The Data Access Module and Cursors 7. Publishing to ArcGIS Online 8. ArcToolbox Script Tools 9. Automated Map Production 10. Part III: Geospatial Data Analysis
11. Pandas, Data Frames, and Vector Data 12. Raster Analysis with Python 13. Geospatial Data Processing with NumPy 14. Part IV: Case Studies
15. Case Study: ArcGIS Online Administration and Data Management 16. Case Study: Advanced Map Automation 17. Case Study: Predicting Crop Yields 18. Other Books You May Enjoy
19. Index

ArcGIS API for Python

The ArcGIS API for Python is a Python package designed to work with web GIS. It allows you to work directly with data hosted on ArcGIS Online or ArcGIS Enterprise. Previously in this book you have been using ArcPy, which is excellent for desktop work, but has limited capabilities when working with hosted data. The ArcGIS API for Python provides tools to do many of the same functions that ArcPy does, such as creating maps, geocoding, managing data, and geoprocessing, but using data that is hosted within your organization. In addition to this, you can use it to manage your organization’s data and ArcGIS Online account by managing users, groups, and items.

It is important to note that while all of the examples you will work through in this chapter are within ArcGIS Pro Notebooks, you don’t have to work through ArcGIS Pro. You could install a standalone environment with conda and access everything through a Jupyter notebook. This book will not...

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