Solving complex geospatial problems and delivering solutions has never been easier.

Ready to take your Python knowledge to the next level? Esri Advanced Guide to Python in ArcGIS guides working GIS professionals through integrating Python with ArcGIS capabilities with increasing complexity through each consecutive chapter. Every chapter includes a project that teaches technical skills and problem-solving applicable to practical, job-focused assignments, including understanding client needs, performing market analytics, and managing ArcGIS Online organizations.  

Esri Advanced Guide to Python in ArcGIS uses step-by-step tutorials with an informal, conversational style of writing so you can easily follow and immediately apply the skills explained. Topics include: 

• Designing effective GIS Python solutions 
• ArcPy and ArcGIS API for Python basics 
• Using imagery and GeoAI for advanced analysis 
• Object-oriented programming 
• Delivering work in various formats: Python scripts, Jupyter Notebook, ArcGIS Pro tools, geoprocessing services, and web applications 
• Data engineering and manipulation techniques 
• Managing ArcGIS Enterprise, ArcGIS Online, and other portal administration 

Perfect for intermediate to advanced programmers looking to enhance their GIS capabilities, Esri Advanced Guide to Python in ArcGIS will quickly help you become skilled at using Python for geospatial solutions and become more proficient and capable in your work.

Unlock the power of Python in ArcGIS® Pro with this definitive, easy-to-follow guide designed for users with limited programming or scripting experience.

Get started learning to write Python scripts to automate tasks in ArcGIS Pro with Python Scripting for ArcGIS Pro. This book begins with the fundamentals of Python programming and then dives into how to write useful Python scripts that work with spatial data in ArcGIS Pro. You’ll learn how to use geoprocessing tools; describe, create, and update data; and execute specialized tasks. With step-by-step instructions, practical examples, and insightful guidance, you’ll be able to write scripts that will automate and improve your ArcGIS Pro workflows.

This third edition has been revised for ArcGIS Pro 3.2 and Python 3.9.18 and includes updated images; a fully updated chapter 2; and expanded chapters 4, 8, 9, and 10.

The key topics you will learn include:

• Python fundamentals
• Setting up a Python editor
• Automating geoprocessing tasks using ArcPy™
• Exploring and manipulating spatial and tabular data
• Working with geometries using cursors
• Working with rasters and map algebra
• Map scripting
• Debugging and error handling

Helpful points to remember, key terms, and review questions are included at the end of each chapter to reinforce your understanding of Python. Corresponding data and tutorials are available online.

Whether you’re new to Python or already have some experience, Python Scripting for ArcGIS Pro is the go-to resource for learning the versatility of Python coding to solve problems and enhance productivity and efficiency in ArcGIS Pro.

Tackle complex spatial data tasks effortlessly with this easy-to-follow guide to writing specialized Python scripts and developing tools for spatial data in ArcGIS® Pro.

Advanced Python Scripting for ArcGIS Pro follows up on the topics explained in Python Scripting for ArcGIS Pro (Esri Press, 2024) and is now updated for ArcGIS Pro 3.2.

Intended for users who have a good foundation in Python, this book explores how to develop scripts into tools and notebooks to share with others, use third-party packages, and learn other more specialized tasks. By the end of this book, you’ll be confident in writing more advanced scripts, developing them into tools and notebooks, and sharing them with others.

The key topics you will learn include:

• Creating custom functions and classes
• Writing specialized scripts using ArcPy™
• Creating Python script tools and Python toolboxes
• Sharing scripts and tools
• Managing Python packages and environments
• Migrating scripts from Python 2 to 3
• NumPy, Pandas, and Matplotlib
• Creating and using notebooks
• ArcGIS API for Python and Jupyter Notebook

Helpful points to remember, key terms, and review questions are included at the end of each chapter to reinforce your understanding of Python. Companion data and tutorials are available online.

Packed with advanced techniques and practical examples, Advanced Python Scripting for ArcGIS Pro is perfect for more experienced ArcGIS Pro users who are looking to upgrade their Python skills and enhance their workflows.

A revealing look at how negative biases against women of color are embedded in search engine results and algorithms

Run a Google search for “Black girls”—what will you find? “Big Booty” and other sexually explicit terms are likely to come up as top search terms. But, if you type in “white girls,” the results are radically different. The suggested porn sites and un-moderated discussions about “why Black women are so sassy” or “why Black women are so angry” presents a disturbing portrait of Black womanhood in modern society.

In Algorithms of Oppression, Safiya Umoja Noble challenges the idea that search engines like Google offer an equal playing field for all forms of ideas, identities, and activities. Data discrimination is a real social problem; Noble argues that the combination of private interests in promoting certain sites, along with the monopoly status of a relatively small number of Internet search engines, leads to a biased set of search algorithms that privilege whiteness and discriminate against people of color, specifically women of color.

Through an analysis of textual and media searches as well as extensive research on paid online advertising, Noble exposes a culture of racism and sexism in the way discoverability is created online. As search engines and their related companies grow in importance—operating as a source for email, a major vehicle for primary and secondary school learning, and beyond—understanding and reversing these disquieting trends and discriminatory practices is of utmost importance.

An original, surprising and, at times, disturbing account of bias on the internet, Algorithms of Oppression contributes to our understanding of how racism is created, maintained, and disseminated in the 21st century.

A Next Big Idea Club "Must Read" for December 2023

  As all aspects of our social and informational lives increasingly migrate online, the line between what is "real" and what is digitally fabricated grows ever thinner—and that fake content has undeniable real-world consequences. A History of Fake Things on the Internet takes the long view of how advances in technology brought us to the point where faked texts, images, and video content are nearly indistinguishable from what is authentic or true.

  Computer scientist Walter J. Scheirer takes a deep dive into the origins of fake news, conspiracy theories, reports of the paranormal, and other deviations from reality that have become part of mainstream culture, from image manipulation in the nineteenth-century darkroom to the literary stylings of large language models like ChatGPT. Scheirer investigates the origins of Internet fakes, from early hoaxes that traversed the globe via Bulletin Board Systems (BBSs), USENET, and a new messaging technology called email, to today's hyperrealistic, AI-generated Deepfakes. An expert in machine learning and recognition, Scheirer breaks down the technical advances that made new developments in digital deception possible, and shares behind-the-screens details of early Internet-era pranks that have become touchstones of hacker lore. His story introduces us to the visionaries and mischief-makers who first deployed digital fakery and continue to influence how digital manipulation works—and doesn't—today: computer hackers, digital artists, media forensics specialists, and AI researchers. Ultimately, Scheirer argues that problems associated with fake content are not intrinsic properties of the content itself, but rather stem from human behavior, demonstrating our capacity for both creativity and destruction.

First place winner in Educational Products at the 2021 International Cartographic Conference

Maps are ubiquitous, yet maps are not made equally, nor are they read equally.

Every map is a product of its maker and its reader, and maps are rarely right or wrong but simply different versions of the truth. The meaning you see in a map can reinforce or challenge your understanding of the theme it represents, and you are much more likely to believe a map if it presents a version of the truth that you believe in already.

But how do you decide what map you want to make? How do you understand the way in which different maps can be used in different ways to tell a story? How do you design a map to be read in a particular way? Thematic Mapping: 101 Inspiring Ways to Visualise Empirical Data answers these questions, and more.

Using 101 maps, graphs, charts, and plots of the 2016 United States presidential election data, Thematic Mapping explores the rich diversity of thematic mapping and the visual representation of data. It details well-known techniques and demonstrates how to design effective maps and graphics. Each map illustrates a different approach to the same data, and all lead to different maps and different ways of seeing different shades of truth.

Thematic Mapping examines the innovative and fascinating alternative ways of making maps of data which you can use in your own work. Which will speak to your truth?