Learning ArcGIS for Desktop. Create, analyze, and map your spatial data with ArcGIS for Desktop

Daniela C Docan

ArcGIS for Desktop is one of the main components of the ESRI ArcGIS platform used to support decision making and solve real-world mapping problems. Learning ArcGIS for Desktop is a tutorial-based guide that provides a practical experience for those who are interested in start working with ArcGIS. The first five chapters cover the basic concepts of working with the File Geodatabase, as well as editing and symbolizing geospatial data. Then, the book focuses on planning and performing spatial analysis on vector and raster data using the geoprocessing and modeling tools. Finally, the basic principles of cartography design will be used to create a quality map that presents the information that resulted from the spatial analysis previously performed. To keep you learning throughout the chapters, all exercises have partial and final results stored in the dataset that accompanies the book. Finally, the book offers more than it promises by using the ArcGIS Online component in the tutorials as source of background data and for results sharing

Learning Puppet. Build intelligent software stacks with the Puppet configuration management suite

Jussi Heinonen, Jussi Heinonen

Managing State in Flutter Pragmatically. Discover how to adopt the best state management approach for scaling your Flutter app

Waleed Arshad

Flutter is a cross-platform user interface (UI) toolkit that enables developers to create beautiful native applications for mobile, desktop, and the web with a single codebase. State management in Flutter is one of the most crucial and complex topics within Flutter, with a wide array of approaches available that can make it easy to get lost due to information overload.Managing State in Flutter Pragmatically is a definitive guide to starting out with Flutter and learning about state management, helping developers with some experience of state management to choose the most appropriate solutions and techniques to use. The book takes a hands-on approach and begins by covering the basics of Flutter state management before exploring how to build and manipulate a shopping cart app using popular approaches such as BLoC/Cubit, Provider, MobX, and Riverpod. Throughout the book, you'll also learn how to adopt approaches from React such as Redux and all its types.By the end of this Flutter book, you'll have gained a holistic view of all the state management approaches in Flutter, and learned which approach is the best solution for managing state in your app development journey.

Exploring Deepfakes. Deploy powerful AI techniques for face replacement and more with this comprehensive guide

Bryan Lyon, Matt Tora

Applying Deepfakes will allow you to tackle a wide range of scenarios creatively.Learning from experienced authors will help you to intuitively understand what is going on inside the model. You’ll learn what deepfakes are and what makes them different from other machine learning techniques, and understand the entire process from beginning to end, from finding faces to preparing them, training the model, and performing the final swap.We’ll discuss various uses for face replacement before we begin building our own pipeline. Spending some extra time thinking about how you collect your input data can make a huge difference to the quality of the final video. We look at the importance of this data and guide you with simple concepts to understand what your data needs to really be successful.No discussion of deepfakes can avoid discussing the controversial, unethical uses for which the technology initially became known. We’ll go over some potential issues, and talk about the value that deepfakes can bring to a variety of educational and artistic use cases, from video game avatars to filmmaking.By the end of the book, you’ll understand what deepfakes are, how they work at a fundamental level, and how to apply those techniques to your own needs.

ASP.NET 3.5 Application Architecture and Design. Build robust, scalable ASP.NET applications quickly and easily

Vivek Thakur

Datadog Cloud Monitoring Quick Start Guide. Proactively create dashboards, write scripts, manage alerts, and monitor containers using Datadog

Thomas Kurian Theakanath

Datadog is an essential cloud monitoring and operational analytics tool which enables the monitoring of servers, virtual machines, containers, databases, third-party tools, and application services. IT and DevOps teams can easily leverage Datadog to monitor infrastructure and cloud services, and this book will show you how.The book starts by describing basic monitoring concepts and types of monitoring that are rolled out in a large-scale IT production engineering environment. Moving on, the book covers how standard monitoring features are implemented on the Datadog platform and how they can be rolled out in a real-world production environment. As you advance, you'll discover how Datadog is integrated with popular software components that are used to build cloud platforms. The book also provides details on how to use monitoring standards such as Java Management Extensions (JMX) and StatsD to extend the Datadog platform. Finally, you'll get to grips with monitoring fundamentals, learn how monitoring can be rolled out using Datadog proactively, and find out how to extend and customize the Datadog platform.By the end of this Datadog book, you will have gained the skills needed to monitor your cloud infrastructure and the software applications running on it using Datadog.

SDL Trados Studio - A Practical Guide. SDL Trados Studio can make a powerful difference to your translating efficiency. This guide makes it easier to fully exploit this leading translation memory program with a clear task-oriented step-by-step approach to learning

Andy Walker

Mastering Play Framework for Scala. Leverage the awesome features of Play Framework to build scalable, resilient, and responsive applications

Shiti Saxena

Oracle Hyperion Interactive Reporting 11 Expert Guide. Learn Advanced Dashboards, JavaScript, Computations, and Special Topics from the Experts

Edward J. Cody, Emily M. Vose, Emily Vose, Edward Cody

Oracle Hyperion Interactive Reporting is one of many products in the Oracle Business Intelligence Enterprise Edition Plus software suite, an industry-leading business intelligence platform. The primary focus of the Interactive Reporting product is to provide strong relational querying and data analysis capabilities, where the software provides significant flexibility for creating custom dashboards, interfaces, and data analysis routines through the use of JavaScript programming and built-in software functionality. While Interactive Reporting is extremely flexible, performing advanced operations in the software is complicated and requires basic programming knowledge and an advanced understanding of the software. This book continues from where The Business Analyst’s Guide to Oracle Hyperion Interactive Reporting 11 completed and provides the reader with the information to successfully execute the advanced features of the product along with examples and specific techniques applicable to everyday use.The Oracle Hyperion Interactive Reporting 11 Expert Guide provides software users and developers with many examples of the techniques used by software experts. The book begins with an introduction to leveraging advanced features of the project and an introduction to JavaScript. Dashboards are a major focus of the book with four chapters focused on building a simple to complex dashboard including functions, global objects, and syncing selections across dashboards. The book places an emphasis on learning methods for data analysis by using advanced programming and built-in functions, and a unique approach to using code to generate batch reports and exports is provided. The Dashboard Studio Optimize Utility and the Dashboard Studio Merge utility are explained in detail, and the approach to building and using a central code repository for use in dashboards and computations across multiple documents in an enterprise is demonstrated. This book will help the reader become an expert user of the software, providing the skills necessary to understand, communicate, and perform advanced level tasks. The authors’ experience in developing and supporting Interactive Reporting users is very apparent throughout each chapter of the book. While the book displays content and examples from version 11 of the software, the book is also applicable to previous versions of the software dating back to version 8, so readers not currently using Interactive Reporting 11 will find the book applicable to daily use with the product.

iOS Game Development By Example. Learn how to develop an ace game for your iOS device, using Sprite Kit

Samanyu Chopra

R Graphs Cookbook. Over 70 recipes for building and customizing publication-quality visualizations of powerful and stunning R graphs

Jaynal Abedin, Jaynal Abedin, Hrishi Mittal

Pig Design Patterns. Simplify Hadoop programming to create complex end-to-end Enterprise Big Data solutions with Pig

Pradeep Pasupuleti

Data Visualization: Representing Information on Modern Web. Click here to enter text

Simon Timms, Andy Kirk, Aendrew Rininsland, Swizec Teller

Do you want to create more attractive charts? Or do you have huge data sets and need to unearth the key insights in a visual manner? Data visualization is the representation and presentation of data, using proven design techniques to bring alive the patterns, stories, and key insights that are locked away.This learning path is divided into three modules. The first module will equip you with the key techniques required to overcome contemporary data visualization challenges. In the second module, Social Data Visualization with HTML5 and JavaScript, it teaches you how to leverage HTML5 techniques through JavaScript to build visualizations.In third module, Learning d3.js Data Visualization, will lead you to D3, which has emerged as one of the leading platforms to develop beautiful, interactive visualizations over the web. By the end of this course, you will have unlocked the mystery behind successful data visualizations.This Learning Path combines some of the best that Packt has to offer in one complete, curated package. It includes content from the following Packt products:? Data Visualization: a successful design process by Andy Kirk? Social Data Visualization with HTML5 and JavaScript by Simon Timms? Learning d3.js Data Visualization, Second Edition by Ændrew Rininsland and Swizec Teller

Machine Learning Using TensorFlow Cookbook. Create powerful machine learning algorithms with TensorFlow

Alexia Audevart, Konrad Banachewicz, Luca Massaron

The independent recipes in Machine Learning Using TensorFlow Cookbook will teach you how to perform complex data computations and gain valuable insights into your data. Dive into recipes on training models, model evaluation, sentiment analysis, regression analysis, artificial neural networks, and deep learning - each using Google’s machine learning library, TensorFlow.This cookbook covers the fundamentals of the TensorFlow library, including variables, matrices, and various data sources. You’ll discover real-world implementations of Keras and TensorFlow and learn how to use estimators to train linear models and boosted trees, both for classification and regression.Explore the practical applications of a variety of deep learning architectures, such as recurrent neural networks and Transformers, and see how they can be used to solve computer vision and natural language processing (NLP) problems.With the help of this book, you will be proficient in using TensorFlow, understand deep learning from the basics, and be able to implement machine learning algorithms in real-world scenarios.

IBM InfoSphere Replication Server and Data Event Publisher. Design, implement, and monitor a successful Q replication and Event Publishing project

Pav Kumar-Chatterjee, Pav Kumar Chatterjee

Business planning is no longer just about defining goals, analyzing critical issues, and then creating strategies. You must aid business integration by linking changed-data events in DB2 databases on Linux, UNIX, and Windows with EAI solutions , message brokers, data transformation tools, and more. Investing in this book will save you many hours of work (and heartache) as it guides you around the many potential pitfalls to a successful conclusion.This book will accompany you throughout your Q replication journey. Compiled from many of author's successful projects, the book will bring you some of the best practices to implement your project smoothly and within time scales. The book has in-depth coverage of Event Publisher, which publishes changed-data events that can run updated data into crucial applications, assisting your business integration processes. Event Publisher also eliminates the hand coding typically required to detect DB2 data changes that are made by operational applications.We start with a brief discussion on what replication is and the Q replication release currently available in the market. We then go on to explore the world of Q replication in more depth. The latter chapters cover all the Q replication components and then talk about the different layers that need to be implemented—the DB2 database layer, the WebSphere MQ layer, and the Q replication layer. We conclude with a chapter on how to troubleshoot a problem. The Appendix (available online) demonstrates the implementation of 13 Q replication scenarios with step-by-step instructions.

Linux Kernel Debugging. Leverage proven tools and advanced techniques to effectively debug Linux kernels and kernel modules

Kaiwan N. Billimoria

The Linux kernel is at the very core of arguably the world’s best production-quality OS. Debugging it, though, can be a complex endeavor.Linux Kernel Debugging is a comprehensive guide to learning all about advanced kernel debugging. This book covers many areas in-depth, such as instrumentation-based debugging techniques (printk and the dynamic debug framework), and shows you how to use Kprobes. Memory-related bugs tend to be a nightmare – two chapters are packed with tools and techniques devoted to debugging them. When the kernel gifts you an Oops, how exactly do you interpret it to be able to debug the underlying issue? We’ve got you covered. Concurrency tends to be an inherently complex topic, so a chapter on lock debugging will help you to learn precisely what data races are, including using KCSAN to detect them. Some thorny issues, both debug- and performance-wise, require detailed kernel-level tracing; you’ll learn to wield the impressive power of Ftrace and its frontends. You’ll also discover how to handle kernel lockups, hangs, and the dreaded kernel panic, as well as leverage the venerable GDB tool within the kernel (KGDB), along with much more.By the end of this book, you will have at your disposal a wide range of powerful kernel debugging tools and techniques, along with a keen sense of when to use which.