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Geospatial Application Development Using Python Programming
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Book Synopsis Python Geospatial Development by : Erik Westra
Download or read book Python Geospatial Development written by Erik Westra and published by . This book was released on 2013 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a tutorial style book that will teach usage of Python tools for GIS using simple practical examples and then show you how to build a complete mapping application from scratch. The book assumes basic knowledge of Python. No knowledge of Open Source GIS is required.Experienced Python developers who want to learn about geospatial concepts, work with geospatial data, solve spatial problems, and build map-based applications.This book will be useful those who want to get up to speed with Open Source GIS in order to build GIS applications or integrate Geo-Spatial features into their existing applications.
Book Synopsis GEOSPATIAL APPLICATION DEVELOPMENT USING PYTHON PROGRAMMING. by :
Download or read book GEOSPATIAL APPLICATION DEVELOPMENT USING PYTHON PROGRAMMING. written by and published by . This book was released on 2024 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Geospatial Development By Example with Python by : Pablo Carreira
Download or read book Geospatial Development By Example with Python written by Pablo Carreira and published by Packt Publishing Ltd. This book was released on 2016-01-30 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build your first interactive map and build location-aware applications using cutting-edge examples in Python About This Book Learn the full geo-processing workflow using Python with open source packages Create press-quality styled maps and data visualization with high-level and reusable code Process massive datasets efficiently using parallel processing Who This Book Is For Geospatial Development By Example with Python is intended for beginners or advanced developers in Python who want to work with geographic data. The book is suitable for professional developers who are new to geospatial development, for hobbyists, or for data scientists who want to move into some simple development. What You Will Learn Prepare a development environment with all the tools needed for geo-processing with Python Import point data and structure an application using Python's resources Combine point data from multiple sources, creating intuitive and functional representations of geographic objects Filter data by coordinates or attributes easily using pure Python Make press-quality and replicable maps from any data Download, transform, and use remote sensing data in your maps Make calculations to extract information from raster data and show the results on beautiful maps Handle massive amounts of data with advanced processing techniques Process huge satellite images in an efficient way Optimize geo-processing times with parallel processing In Detail From Python programming good practices to the advanced use of analysis packages, this book teaches you how to write applications that will perform complex geoprocessing tasks that can be replicated and reused. Much more than simple scripts, you will write functions to import data, create Python classes that represent your features, and learn how to combine and filter them. With pluggable mechanisms, you will learn how to visualize data and the results of analysis in beautiful maps that can be batch-generated and embedded into documents or web pages. Finally, you will learn how to consume and process an enormous amount of data very efficiently by using advanced tools and modern computers' parallel processing capabilities. Style and approach This easy-to-follow book is filled with hands-on examples that illustrate the construction of three sample applications of how to write reusable and interconnected Python code for geo-processing.
Book Synopsis Introduction to GIS Programming and Fundamentals with Python and ArcGIS® by : Chaowei Yang
Download or read book Introduction to GIS Programming and Fundamentals with Python and ArcGIS® written by Chaowei Yang and published by CRC Press. This book was released on 2017-04-25 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: Combining GIS concepts and fundamental spatial thinking methodology with real programming examples, this book introduces popular Python-based tools and their application to solving real-world problems. It elucidates the programming constructs of Python with its high-level toolkits and demonstrates its integration with ArcGIS Theory. Filled with hands-on computer exercises in a logical learning workflow this book promotes increased interactivity between instructors and students while also benefiting professionals in the field with vital knowledge to sharpen their programming skills. Readers receive expert guidance on modules, package management, and handling shapefile formats needed to build their own mini-GIS. Comprehensive and engaging commentary, robust contents, accompanying datasets, and classroom-tested exercises are all housed here to permit users to become competitive in the GIS/IT job market and industry.
Book Synopsis Learning Geospatial Analysis with Python by : Joel Lawhead
Download or read book Learning Geospatial Analysis with Python written by Joel Lawhead and published by Packt Publishing Ltd. This book was released on 2015-12-31 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: An effective guide to geographic information systems and remote sensing analysis using Python 3 About This Book Construct applications for GIS development by exploiting Python This focuses on built-in Python modules and libraries compatible with the Python Packaging Index distribution system—no compiling of C libraries necessary This practical, hands-on tutorial teaches you all about Geospatial analysis in Python Who This Book Is For If you are a Python developer, researcher, or analyst who wants to perform Geospatial, modeling, and GIS analysis with Python, then this book is for you. Familarity with digital mapping and analysis using Python or another scripting language for automation or crunching data manually is appreciated. What You Will Learn Automate Geospatial analysis workflows using Python Code the simplest possible GIS in 60 lines of Python Mold thematic maps with Python tools Get hold of the various forms that geospatial data comes in Produce elevation contours using Python tools Create flood inundation models Apply Geospatial analysis to find out about real-time data tracking and for storm chasing In Detail Geospatial Analysis is used in almost every field you can think of from medicine, to defense, to farming. This book will guide you gently into this exciting and complex field. It walks you through the building blocks of geospatial analysis and how to apply them to influence decision making using the latest Python software. Learning Geospatial Analysis with Python, 2nd Edition uses the expressive and powerful Python 3 programming language to guide you through geographic information systems, remote sensing, topography, and more, while providing a framework for you to approach geospatial analysis effectively, but on your own terms. We start by giving you a little background on the field, and a survey of the techniques and technology used. We then split the field into its component specialty areas: GIS, remote sensing, elevation data, advanced modeling, and real-time data. This book will teach you everything you need to know about, Geospatial Analysis from using a particular software package or API to using generic algorithms that can be applied. This book focuses on pure Python whenever possible to minimize compiling platform-dependent binaries, so that you don't become bogged down in just getting ready to do analysis. This book will round out your technical library through handy recipes that will give you a good understanding of a field that supplements many a modern day human endeavors. Style and approach This is a practical, hands-on tutorial that teaches you all about Geospatial analysis interactively using Python.
Book Synopsis Python Geospatial Development Essentials by : Karim Bahgat
Download or read book Python Geospatial Development Essentials written by Karim Bahgat and published by Packt Publishing Ltd. This book was released on 2015-06-17 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides you with the resources to successfully develop your own GIS application in Python. The book begins by walking you through the loading and saving of data structures before you start to build the look and feel of your application and create its interactive map window. You'll then move on to managing, editing, and analyzing spatial data from within the application and finish with instructions for packaging the application for distribution. By the end of the book, you should be able to use your GIS application as a template for further development, with the potential to expand and customize it to suit your needs.
Book Synopsis Geospatial Application Development Using Python Programming by : Galety, Mohammad Gouse
Download or read book Geospatial Application Development Using Python Programming written by Galety, Mohammad Gouse and published by IGI Global. This book was released on 2024-05-16 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: Academics and researchers currently grapple with a pressing issue; the demand for precise and insightful geographical information has surged across various fields, encompassing urban planning, environmental monitoring, agriculture, and disaster management. This surge has revealed a substantial knowledge gap, underscoring the need for effective applications that can bridge the gap between cutting-edge technologies and practical usage. Geospatial Application Development Using Python Programming emerges as the definitive solution to this challenge. This comprehensive book equips academics, researchers, and professionals with the essential tools and insights required to leverage the capabilities of Python programming in the realm of spatial analysis. It goes beyond merely connecting these two realms; it actively fosters their collaboration. By advancing knowledge in spatial sciences and highlighting Python's pivotal role in data analysis and application development, this book plays a crucial part in addressing the challenge of effectively harnessing geographical data.
Book Synopsis Python Geospatial Development - Second Edition by : Erik Westra
Download or read book Python Geospatial Development - Second Edition written by Erik Westra and published by CreateSpace. This book was released on 2015-02-24 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you're experienced in Python here's an opportunity to get deep into Geospatial development, linking data to global locations. No prior knowledge required - this book takes you through it all, step by step. Overview Build your own complete and sophisticated mapping applications in Python. Walks you through the process of building your own online system for viewing and editing geospatial data Practical, hands-on tutorial that teaches you all about geospatial development in Python In Detail Geospatial development links your data to places on the Earth's surface. Writing geospatial programs involves tasks such as grouping data by location, storing and analyzing large amounts of spatial information, performing complex geospatial calculations, and drawing colorful interactive maps. In order to do this well, you'll need appropriate tools and techniques, as well as a thorough understanding of geospatial concepts such as map projections, datums and coordinate systems. Python Geospatial Development, Second Edition teaches you everything you need to know about writing geospatial applications using Python. No prior knowledge of geospatial concepts, tools or techniques is required. The book guides you through the process of installing and using various toolkits, obtaining geospatial data for use in your programs, and building complete and sophisticated geospatial applications in Python. Python Geospatial Development teaches you everything you need to know about writing geospatial applications using Python. No prior knowledge of geospatial concepts, tools or techniques is required. The book guides you through the process of installing and using various toolkits, obtaining geospatial data for use in your programs, and building complete and sophisticated geospatial applications in Python. This book provides an overview of the major geospatial concepts, data sources and toolkits. It teaches you how to store and access spatial data using Python, how to perform a range of spatial calculations, and how to store spatial data in a database. Because maps are such an important aspect of geospatial programming, the book teaches you how to build your own "slippy map" interface within a web application, and finishes with the detailed construction of a geospatial data editor using Geodjango. Whether you want to write quick utilities to solve spatial problems, or develop sophisticated web applications based around maps and geospatial data, this book includes everything you need to know. What you will learn from this book Access, manipulate and display geospatial data from within your Python programs Master the core geospatial concepts of location, distance, units, projections and datums Read and write geospatial data in both vector and raster format Perform complex, real-world geospatial calculations using Python Store and access geospatial information in a database Use points, lines and polygons within your Python programs Use Python-based tools for converting geospatial data into good looking maps Build complete web-based mapping applications using Python Approach This is a tutorial style book that will teach usage of Python tools for GIS using simple practical examples and then show you how to build a complete mapping application from scratch. The book assumes basic knowledge of Python. No knowledge of Open Source GIS is required.
Book Synopsis Learning Geospatial Analysis with Python by : Joel Lawhead
Download or read book Learning Geospatial Analysis with Python written by Joel Lawhead and published by Packt Publishing Ltd. This book was released on 2023-11-24 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: Harness the powerful Python programming language to navigate the realms of geographic information systems, remote sensing, topography, and more, while embracing a guiding framework for effective geospatial analysis Key Features Create GIS solutions using the new features introduced in Python 3.10 Explore a range of GIS tools and libraries, including PostGIS, QGIS, and PROJ Identify the tools and resources that best align with your specific needs Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionGeospatial analysis is used in almost every domain you can think of, including defense, farming, and even medicine. In this special 10th anniversary edition, you'll embark on an exhilarating geospatial analysis adventure using Python. This fourth edition starts with the fundamental concepts, enhancing your expertise in geospatial analysis processes with the help of illustrations, basic formulas, and pseudocode for real-world applications. As you progress, you’ll explore the vast and intricate geospatial technology ecosystem, featuring thousands of software libraries and packages, each offering unique capabilities and insights. This book also explores practical Python GIS geospatial applications, remote sensing data, elevation data, and the dynamic world of geospatial modeling. It emphasizes the predictive and decision-making potential of geospatial technology, allowing you to visualize complex natural world concepts, such as environmental conservation, urban planning, and disaster management to make informed choices. You’ll also learn how to leverage Python to process real-time data and create valuable information products. By the end of this book, you'll have acquired the knowledge and techniques needed to build a complete geospatial application that can generate a report and can be further customized for different purposes.What you will learn Automate geospatial analysis workflows using Python Understand the different formats in which geospatial data is available Unleash geospatial tech tools to create stunning visualizations Create thematic maps with Python tools such as PyShp, OGR, and the Python Imaging Library Build a geospatial Python toolbox for analysis and application development Unlock remote sensing secrets, detect changes, and process imagery Leverage ChatGPT for solving Python geospatial solutions Apply geospatial analysis to real-time data tracking and storm chasing Who this book is for This book is for Python developers, researchers, or analysts who want to perform geospatial modeling and GIS analysis with Python. Basic knowledge of digital mapping and analysis using Python or other scripting languages will be helpful.
Book Synopsis Learning Geospatial Analysis with Python by : Joel Lawhead
Download or read book Learning Geospatial Analysis with Python written by Joel Lawhead and published by Packt Publishing Ltd. This book was released on 2019-09-27 with total page 447 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn the core concepts of geospatial data analysis for building actionable and insightful GIS applications Key Features Create GIS solutions using the new features introduced in Python 3.7 Explore a range of GIS tools and libraries such as PostGIS, QGIS, and PROJ Learn to automate geospatial analysis workflows using Python and Jupyter Book DescriptionGeospatial analysis is used in almost every domain you can think of, including defense, farming, and even medicine. With this systematic guide, you'll get started with geographic information system (GIS) and remote sensing analysis using the latest features in Python. This book will take you through GIS techniques, geodatabases, geospatial raster data, and much more using the latest built-in tools and libraries in Python 3.7. You'll learn everything you need to know about using software packages or APIs and generic algorithms that can be used for different situations. Furthermore, you'll learn how to apply simple Python GIS geospatial processes to a variety of problems, and work with remote sensing data. By the end of the book, you'll be able to build a generic corporate system, which can be implemented in any organization to manage customer support requests and field support personnel.What you will learn Automate geospatial analysis workflows using Python Code the simplest possible GIS in just 60 lines of Python Create thematic maps with Python tools such as PyShp, OGR, and the Python Imaging Library Understand the different formats that geospatial data comes in Produce elevation contours using Python tools Create flood inundation models Apply geospatial analysis to real-time data tracking and storm chasing Who this book is forThis book is for Python developers, researchers, or analysts who want to perform geospatial modeling and GIS analysis with Python. Basic knowledge of digital mapping and analysis using Python or other scripting languages will be helpful.
Book Synopsis Geoprocessing with Python by : Christine Garrard
Download or read book Geoprocessing with Python written by Christine Garrard and published by Simon and Schuster. This book was released on 2016-05-05 with total page 558 pages. Available in PDF, EPUB and Kindle. Book excerpt: Summary Geoprocessing with Python teaches you how to use the Python programming language, along with free and open source tools, to read, write, and process geospatial data. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology This book is about the science of reading, analyzing, and presenting geospatial data programmatically, using Python. Thanks to dozens of open source Python libraries and tools, you can take on professional geoprocessing tasks without investing in expensive proprietary packages like ArcGIS and MapInfo. The book shows you how. About the Book Geoprocessing with Python teaches you how to access available datasets to make maps or perform your own analyses using free tools like the GDAL, NumPy, and matplotlib Python modules. Through lots of hands-on examples, you’ll master core practices like handling multiple vector file formats, editing geometries, applying spatial and attribute filters, working with projections, and performing basic analyses on vector data. The book also covers how to manipulate, resample, and analyze raster data, such as aerial photographs and digital elevation models. What's Inside Geoprocessing from the ground up Read, write, process, and analyze raster data Visualize data with matplotlib Write custom geoprocessing tools Three additional appendixes available online About the Reader To read this book all you need is a basic knowledge of Python or a similar programming language. About the Author Chris Garrard works as a developer for Utah State University and teaches a graduate course on Python programming for GIS. Table of Contents Introduction Python basics Reading and writing vector data Working with different vector file formats Filtering data with OGR Manipulating geometries with OGR Vector analysis with OGR Using spatial reference systems Reading and writing raster data Working with raster data Map algebra with NumPy and SciPy Map classification Visualizing data Appendixes A - Installation B - References C - OGR - online only D - OSR - online only E - GDAL - online only
Book Synopsis Python Geospatial Analysis Essentials by : Erik Westra
Download or read book Python Geospatial Analysis Essentials written by Erik Westra and published by Packt Publishing Ltd. This book was released on 2015-06-23 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: Python is a highly expressive language that makes it easy to write sophisticated programs. Combining high-quality geospatial data with Python geospatial libraries will give you a powerful toolkit for solving a range of geospatial programming tasks. The book begins with an introduction to geospatial analysis and programming and explains the ideas behind geospatial data. You will explore Python libraries for building your own geospatial applications. You will learn to create a geospatial database for your application using PostGIS and the psycopg2 library, and see how the Mapnik library can be used to create attractive and useful maps. Finally, you will learn to use the Shapely and NetworkX libraries to create, analyze, and manipulate complex geometric objects, before implementing a system to match GPS recordings against a database of roads to produce a heatmap of the most frequently used roads.
Book Synopsis Introduction to GIS Programming and Fundamentals with Python and ArcGIS® by : Chaowei Yang
Download or read book Introduction to GIS Programming and Fundamentals with Python and ArcGIS® written by Chaowei Yang and published by CRC Press. This book was released on 2017-04-25 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: Combining GIS concepts and fundamental spatial thinking methodology with real programming examples, this book introduces popular Python-based tools and their application to solving real-world problems. It elucidates the programming constructs of Python with its high-level toolkits and demonstrates its integration with ArcGIS Theory. Filled with hands-on computer exercises in a logical learning workflow this book promotes increased interactivity between instructors and students while also benefiting professionals in the field with vital knowledge to sharpen their programming skills. Readers receive expert guidance on modules, package management, and handling shapefile formats needed to build their own mini-GIS. Comprehensive and engaging commentary, robust contents, accompanying datasets, and classroom-tested exercises are all housed here to permit users to become competitive in the GIS/IT job market and industry.
Book Synopsis Python Geospatial Development by : Erik Westra
Download or read book Python Geospatial Development written by Erik Westra and published by Packt Publishing Ltd. This book was released on 2016-05-23 with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt: Develop sophisticated mapping applications from scratch using Python 3 tools for geospatial development About This Book Build web applications based around maps and geospatial data using Python 3.x Install and use various toolkits and obtain geospatial data for use in your programs This practical, hands-on book will teach you all about geospatial development in Python Who This Book Is For This book is for experienced Python developers who want to learn about geospatial concepts, obtain and work with geospatial data, solve spatial problems, and build sophisticated map-based applications using Python. What You Will Learn Access, manipulate, and display geospatial data from within your Python programs Master the core geospatial concepts of location, distance, units, projections, and datums Read and write geospatial data in both vector and raster format Perform complex, real-world geospatial calculations using Python Store and access geospatial information in a database Use points, lines, and polygons within your Python programs Convert geospatial data into attractive maps using Python-based tools Build complete web-based mapping applications using Python In Detail Geospatial development links your data to locations on the surface of the Earth. Writing geospatial programs involves tasks such as grouping data by location, storing and analyzing large amounts of spatial information, performing complex geospatial calculations, and drawing colorful interactive maps. In order to do this well, you'll need appropriate tools and techniques, as well as a thorough understanding of geospatial concepts such as map projections, datums, and coordinate systems. This book provides an overview of the major geospatial concepts, data sources, and toolkits. It starts by showing you how to store and access spatial data using Python, how to perform a range of spatial calculations, and how to store spatial data in a database. Further on, the book teaches you how to build your own slippy map interface within a web application, and finishes with the detailed construction of a geospatial data editor using the GeoDjango framework. By the end of this book, you will be able to confidently use Python to write your own geospatial applications ranging from quick, one-off utilities to sophisticated web-based applications using maps and other geospatial data. Style and approach This book is a comprehensive course in geospatial development. The concepts you need to know are presented in a hands-on fashion with example code to help you to solve real-world problems right away. Larger programs are built up step by step while guiding you through the process of building your own sophisticated mapping applications.
Book Synopsis Python Geospatial Development, Second Edition by : Erik Westra
Download or read book Python Geospatial Development, Second Edition written by Erik Westra and published by Packt Publishing Ltd. This book was released on 2013-05-24 with total page 772 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a tutorial style book that will teach usage of Python tools for GIS using simple practical examples and then show you how to build a complete mapping application from scratch. The book assumes basic knowledge of Python. No knowledge of Open Source GIS is required.Experienced Python developers who want to learn about geospatial concepts, work with geospatial data, solve spatial problems, and build map-based applications.This book will be useful those who want to get up to speed with Open Source GIS in order to build GIS applications or integrate Geo-Spatial features into their existing applications.
Book Synopsis Python Geospatial Analysis Cookbook by : Michael Diener
Download or read book Python Geospatial Analysis Cookbook written by Michael Diener and published by Packt Publishing Ltd. This book was released on 2015-11-30 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over 60 recipes to work with topology, overlays, indoor routing, and web application analysis with Python About This Book Explore the practical process of using geospatial analysis to solve simple to complex problems with reusable recipes Concise step-by-step instructions to teach you about projections, vector, raster, overlay, indoor routing and topology analysis Create a basic indoor routing application with geodjango Who This Book Is For If you are a student, teacher, programmer, geospatial or IT administrator, GIS analyst, researcher, or scientist looking to do spatial analysis, then this book is for you. Anyone trying to answer simple to complex spatial analysis questions will get a working demonstration of the power of Python with real-world data. Some of you may be beginners with GIS, but most of you will probably have a basic understanding of geospatial analysis and programming. What You Will Learn Discover the projection and coordinate system information of your data and learn how to transform that data into different projections Import or export your data into different data formats to prepare it for your application or spatial analysis Use the power of PostGIS with Python to take advantage of the powerful analysis functions Execute spatial analysis functions on vector data including clipping, spatial joins, measuring distances, areas, and combining data to new results Create your own set of topology rules to perform and ensure quality assurance rules in Python Find the shortest indoor path with network analysis functions in easy, extensible recipes revolving around all kinds of network analysis problems Visualize your data on a map using the visualization tools and methods available to create visually stunning results Build an indoor routing web application with GeoDjango to include your spatial analysis tools built from the previous recipes In Detail Geospatial development links your data to places on the Earth's surface. Its analysis is used in almost every industry to answer location type questions. Combined with the power of the Python programming language, which is becoming the de facto spatial scripting choice for developers and analysts worldwide, this technology will help you to solve real-world spatial problems. This book begins by tackling the installation of the necessary software dependencies and libraries needed to perform spatial analysis with Python. From there, the next logical step is to prepare our data for analysis; we will do this by building up our tool box to deal with data preparation, transformations, and projections. Now that our data is ready for analysis, we will tackle the most common analysis methods for vector and raster data. To check or validate our results, we will explore how to use topology checks to ensure top-quality results. This is followed with network routing analysis focused on constructing indoor routes within buildings, over different levels. Finally, we put several recipes together in a GeoDjango web application that demonstrates a working indoor routing spatial analysis application. The round trip will provide you all the pieces you need to accomplish your own spatial analysis application to suit your requirements. Style and approach Easy-to-follow, step-by-step recipes, explaining from start to finish how to accomplish real-world tasks.
Book Synopsis Programming Arcgis Pro With Python by : Eric Pimpler
Download or read book Programming Arcgis Pro With Python written by Eric Pimpler and published by Createspace Independent Publishing Platform. This book was released on 2017-11-03 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: This hands on exercise book starts with an overview of the Python 3.x language. You'll learn the basic constructs of this powerful, easy to learn language for automating your ArcGIS Pro geoprocessing tasks. You'll also learn how to install, configure, and write scripts using the popular PyCharm development environment. We'll then dive into the details of the ArcGIS Pro arcpy module by learning how to execute geoprocessing tools from your scripts. From there you'll learn how to manage project and layer files, and manage the data within those files. You'll discover how to programmatically add, insert, remove, and move layers in table of contents. Next, you'll learn how to apply symbology and update properties of layers, work with 2D and 3D display properties, and manage layouts. You'll also learn how to automate map production through the use of map series functionality, formerly called map books. The later part of the books covers attribute and spatial queries, and the creation of selection sets for feature classes and tables along with the arcpy data access module for insert, updating, and deleting data from feature classes and tables. Finally, we'll close the book by discovering how you can create your own custom geoprocessing tools using custom toolboxes with ArcGIS Pro and Python.
