ArcPy for Python Developers using ArcGIS Pro
What you’ll learn
Learn to write GIS applications using Python tools and applications for ArcGIS.
Become highly skilled in using ArcPy/Python with ArcGIS Pro.
Be able to apply for GIS, Geospatial, or Spatial Developer job positions.
Be a Python developer who specializes in ArcPy, which is in demand to GIS projects undertaken by different industries.
Requirements
A computer which meets the minimum ArcGIS Pro 2.2 system requirements and has the ability to run the software.
Basic skills and knowledge in Python.
Basic Level (or higher) of ArcGIS Desktop license with no extensions. This will allow ArcGIS Pro and ArcMap to run and also permits downloading of ArcTutor data.
Knowledge of ArcGIS Pro or ArcMap is an advantage but not required.
Note: Free 21 day-trial of software is available – see details inside course.
Description
The global Geographic Information System (GIS) market is expected to by worth over ten billion dollars by 2023, and is growing at a huge rate.Developers who are skilled with appropriate GIS software are already in high demand and the demand is growing.At the GIS Stack Exchange – the spatial library for Python – the most questions asked are for ArcPy, which provides a Python API to Esri’s flagship product ArcGIS Desktop and its two main applications (ArcGIS Pro and ArcMap).Consequently, there has never been a better time for Python developers to add ArcPy skills to their repertoire.This course is primarily designed to introduce Python developers to the ArcPy classes and functions for working with ArcGIS Pro. It will also introduce them to many aspects of the ArcGIS Pro GUI, so that they are well placed to understand the requirements of the end users for the applications that they write. While relatively little Python experience is needed to undertake the course, the Python classes and functions used may be easier to understand if you have already undertaken introductory Python training – such as the Learn Programming Academy’s Python Masterclass.The course is also suitable for ArcGIS Pro end users who wish to learn ArcPy, but they may need to embark on a steep Python learning curve, if they have minimal skills in that language.Most sections of this course can be taken in any order. You just need to download the data, and check that you have ArcGIS Pro and your Python IDE working first.NOTE: Paid software is required to take this course.The course requires only a Basic level license of ArcGIS Desktop (which includes ArcGIS Pro), and no extension products need to be licensed in order to complete all exercises.If you do not have an ArcGIS Desktop license, then for about $100-150 per annum it is possible to use an Advanced level license and many of the extension products for non-commercial purposes (like taking this course!), via Esri’s ArcGIS for Personal Use program (details inside the course).It is also possible to undertake a 21-day free trial of ArcGIS Pro (details also inside the course).The recommendation is to take the 21-day free trial to get started.This course starts by examining the various places that Python code can be used within the ArcGIS Pro application, and how Python code can be written using a Python IDE to interact with ArcGIS Pro as either a standalone script or a Python script tool.You will then be taken on a tour of the most commonly used ArcPy functions and classes for geoprocessing, followed by tours of its modules for data access and mapping.The scenarios chosen, to illustrate how each function and class is used, are derived from the presenter’s experience working with ArcPy and Python for almost 10 years, and with Esri software for 30 years.Your instructor, Graeme Browning has been using the Esri software on a daily basis for over 30 years, 8 years of which he has spent using ArcPy. Graeme has also spent 18 years with Esri UK and Esri Australia working in different roles from Senior GIS Analyst to Technical Director. He is also ranked in GIS Stack Exchange as the all-time, worldwide:#1 user of ArcPy#1 user of ArcGIS Desktop#2 user of ArcGIS Pro#5 user of all GIS productsGraeme has also received the Esri High Achievement Award by Jack Dangermond (President).He has already developed nearly 20 one-day courses and half-day workshops for instructor-led delivery and along with that, nearly 20 eLearning video courses. So if you’re looking for the perfect instructor to teach you the best practices in learning ArcPy for Python, Graeme is the best one there is! Key Topics to be covered are :Using ArcPy and Python in multiple interfaces within and alongside ArcGIS ProPython windowPython IDE (e.g. IDLE)Python Script ToolsPython Toolbox ToolsPython Parser for Field Calculating and LabelingUsing ArcPy Modules, Classes and FunctionsWorking with the search, update and insert cursors of ArcPy’s Data Access Module (arcpy.da)Performing GIS Inventory by Listing Data, Describing Data and Walking System Folders and Spatial DatasetsUsing the Mapping module for map automation using project, map, layer, layout, map frame, extent, camera, spatial reference, text, graphics, legends, scale bars, north arrows, pictures and many other object classesWorking with Map Series to meet simple through to complex Map Book requirementsFinding your way around ArcGIS Pro’s very extensive ArcPy/Python documentationWorking with Point, Line and Polygon GeometriesSetting the Geoprocessing EnvironmentGetting and Setting Parameters for Python Script ToolsCreating test dataExporting map layouts to PDFEnrolling in this course is the best decision you can make! The course focuses on teaching ArcPy in-depth from the basics through to advancedIt’s 3-4 times the length of any other ArcPy course, and designed to accommodate many more lectures and challenges on not just ArcGIS Pro, but also ArcMapPlus, it teaches ArcPy for ArcGIS Pro which was only released in 2015, while other ArcPy courses typically use only the older ArcMap! You are getting the most up to date learning! By the end of this course, you will have the necessary skills needed to become an expert in ArcPy using ArcGIS Pro and apply it to your own programs such as Map Automation and Geoprocessing. The ideal student would be someone with a basic knowledge of Python who is eager to improve their skills and take them to the next level by learning ArcPy using ArcGIS pro. The sooner you sign up for this course, the sooner you will have the skills and knowledge that would put you among the list of in demand Python developers! Sign up today and get started!
Overview
Section 1: Introduction
Lecture 1 Introduction to the Course
Lecture 2 Introduction to ArcPy, ArcGIS Pro and Spatial Data
Section 2: ArcGIS Pro, Python and Data Setup
Lecture 3 ArcGIS Pro Licensing Options
Lecture 4 Checking Setup for ArcGIS Pro and Python/IDLE/ArcPy
Lecture 5 Downloading Natural Earth Data
Lecture 6 Deleting Data for Section Resetting
Section 3: Python Interfaces for ArcGIS Pro
Lecture 7 Using Python Window of ArcGIS Pro
Lecture 8 Using a Python IDE (IDLE)
Lecture 9 Writing a Simple Python Script Tool
Lecture 10 Using Python Functions
Lecture 11 Using Python Parser for Labeling
Lecture 12 Using Python Parser for Calculating Fields
Lecture 13 Using Python Parser for Calculating Values in ModelBuilder
Lecture 14 Using ArcGIS Notebooks
Section 4: ArcPy Documentation for ArcGIS Pro
Lecture 15 ArcGIS Pro Help Overview
Lecture 16 ArcGIS Pro Tool Reference
Lecture 17 ArcGIS Pro Python Reference
Section 5: Using Geoprocessing Tools to Automate Workflows
Lecture 18 Creating Project for Geoprocessing Framework Section
Lecture 19 Workflow Using Tool Dialogs
Lecture 20 Workflow Using Geoprocessing History
Lecture 21 Workflow Using Python IDE
Lecture 22 Workflow Using Python Script Tool with Pick List
Lecture 23 Workflow Using Python Toolbox Tool
Lecture 24 Workflow Using Model Tool
Section 6: Setting the Geoprocessing Environment for ArcPy
Lecture 25 Using Environment Setting to Overwrite Output
Lecture 26 Using Environment Setting to Set Current Workspace
Lecture 27 Using Environment Setting to Set Extent for Geoprocessing
Section 7: Performing GIS Inventory
Lecture 28 ArcGIS Pro End User View of Data
Lecture 29 Listing Workspaces, Feature Datasets and Feature Classes
Lecture 30 Listing Tables and Fields
Lecture 31 Describing Data Using arcpy.Describe() to Create Describe Objects
Lecture 32 Describing Data Using arcpy.da,Describe() to Create Dictionaries
Lecture 33 Walking Data Using arcpy.da.Walk() to Create Lists
Section 8: Working with Geometries
Lecture 34 Creating Fishnet Feature Classes for Testing
Lecture 35 Copying Geometry Objects from Feature Class
Lecture 36 Creating Point and MultiPoint Geometry Objects from Scratch
Lecture 37 Creating Singlepart and Multipart Polyline and Polygon Geometry Objects
Lecture 38 Working with Geometry Methods
Section 9: Working with Cursors from Data Access Module (arcpy.da)
Lecture 39 Using arcpy.da.SearchCursor() to Iterate Features and Rows
Lecture 40 Using arcpy.da.SearchCursor() to read Geometries via [email protected] tokens
Lecture 41 Using arcpy.da.SearchCursor() to create Python Lists and Sets
Lecture 42 Using arcpy.da.SearchCursor() to create Python Dictionaries
Lecture 43 Using arcpy.da.UpdateCursor() to Perform Edits
Lecture 44 Using arcpy.da.InsertCursor() to Create a Table
Lecture 45 Using arcpy.da.InsertCursor() to Insert a Geometry into a Feature Class
Lecture 46 Using arcpy.da.InsertCursor() to create a Table-like Feature Class
Section 10: Using Mapping Module (arcpy.mp) from Python Window of ArcGIS Pro
Lecture 47 Working with ArcGISProject, Map and Layer Classes in ArcGIS Pro
Lecture 48 Working with Layout and MapFrame Classes in ArcGIS Pro
Lecture 49 Zooming Using Camera and Extent Classes in ArcGIS Pro
Section 11: Arranging Layout Elements around Map Frames using a Python IDE (IDLE)
Lecture 50 Using PDF Map for Quick Testing from a Python IDE (IDLE)
Lecture 51 Working with Text Elements
Lecture 52 Working with Graphic Elements
Lecture 53 Working with Picture Elements
Lecture 54 Working with Mapsurround Elements (North Arrow and Scale Bar)
Lecture 55 Working with Legend Elements
Section 12: Making Dynamic Maps and Map Series
Lecture 56 Enabling Map Series on ArcGIS Pro Layout to Export PDF
Lecture 57 Using MapSeries Class to Export PDF from Map Series-enabled Layout
Lecture 58 Zooming to and Making PDF Map Book of Countries Using Python IDE (IDLE)
Lecture 59 Authoring Project to Support Multiple Zone Coordinate Systems in Map Series
Lecture 60 Writing Code to Support Multiple Zone Coordinate Systems in Map Series
Section 13: Working with Bookmarks
Lecture 61 Creating Bookmarks in ArcGIS Pro
Lecture 62 Using Bookmarks from the Python Window
Lecture 63 Making Feature Class of Rectangular Polygons from Bookmarks
Lecture 64 Two Ways to Make PDF Map Books from Bookmarks
Section 14: Printing, Updating and Fixing Data Sources
Lecture 65 Viewing Data Sources using ArcPy in Python Window
Lecture 66 Changing Data Source of Layer in Map
Lecture 67 Changing Data Source of Layer File
Lecture 68 Fixing Broken Links of Maps and Projects
Section 15: Working with Layer Symbology
Lecture 69 Changing Symbol using Symbology, SimpleRenderer and Symbol Classes
Lecture 70 Challenge: Change Color and Size of Symbols for Point Layer
Lecture 71 Using UniqueValueRenderer Class
Lecture 72 Using GraduatedColorsRenderer Class (includes Challenge)
Lecture 73 Introduction to Python Cartographic Information Model (CIM) Access
Lecture 74 Challenge: Change Symbol for Line Layer using CIM Access from Python IDE
Section 16: Using Python Script Tool Parameters
Lecture 75 Getting Parameters for Python Script Tools
Lecture 76 Setting Parameters for Python Script Tools
Section 17: Extra Information – Source code, and other stuff
Lecture 77 Source Codes
Lecture 78 Bonus Lecture and Information
This course is suitable for developers with some basic Python language exposure who want to enhance their skills by learning about ArcPy using ArcGIS Pro.
Course Information:
Udemy | English | 11h 37m | 5.89 GB
Created by: Tim Buchalka’s Learn Programming Academy
You Can See More Courses in the Developer >> Greetings from CourseDown.com