Book Image

ArcPy and ArcGIS - Second Edition

By : Silas Toms, Dara OBeirne
Book Image

ArcPy and ArcGIS - Second Edition

By: Silas Toms, Dara OBeirne

Overview of this book

ArcGIS allows for complex analyses of geographic information. The ArcPy module is used to script these ArcGIS analyses, providing a productive way to perform geo-analyses and automate map production. The second edition of the book focuses on new Python tools, such as the ArcGIS API for Python. Using Python, this book will guide you from basic Python scripting to advanced ArcPy script tools. This book starts off with setting up your Python environment for ArcGIS automation. Then you will learn how to output maps using ArcPy in MXD and update feature class in a geodatabase using arcpy and ArcGIS Online. Next, you will be introduced to ArcREST library followed by examples on querying, updating and manipulating ArcGIS Online feature services. Further, you will be enabling your scripts in the browser and directly interacting with ArcGIS Online using Jupyter notebook. Finally, you can learn ways to use of ArcPy to control ArcGIS Enterprise and explore topics on deployments, data quality assurances, data updates, version control, and editing safeguards. By the end of the book, you will be equipped with the knowledge required to create automated analysis with administration reducing the time-consuming nature of GIS.
Table of Contents (13 chapters)
8
Introduction to ArcGIS Online

Conda and ArcGIS Pro

Beginning with ArcGIS Pro 1.3, ESRI introduced the implementation of Conda, a Python package manager. Conda is an open source package and environment management tool used to implement various versions of Python and dependencies. As you begin to work with Python on a regular basis, you will encounter situations where you need to have different versions of Python packages installed in safe locations that do not affect your main installation. Traditionally, Python developers have used something called "Virtual Environment" or "Virtualenv". Virtual environments create a separate installation of Python and associated packages in a designated location that you can call from the command line. It allows you, as a developer, to isolate different versions of Python and/or associated packages for specific projects. Over the last few years, Conda has...