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)
Introduction to ArcGIS Online

Reviewing Conda basics

There are a few commands that you should familiarize yourself with if you are going to be working with Conda and virtual environments. If you want to see all the packages that are included within your Conda environment, then you can use conda list:

To see information about your current Conda working environment, use conda info:

As you may remember, in the previous section, we installed the Spyder IDE using the conda install command. This will install the packages that you want to use in your environment. For example, if we want to install Jupyter, which is the package that allows us to use a browser-based Python environment, we can just type conda install jupyter:

Then, if you want to run the Jupyter Notebook, then just type in jupyter notebook, and it should launch in your default browser:

You should see a tab open in your browser (you may have to copy...