Verleger: K-i-s-publishing
Ted Hunter, Steven Porter
Google Cloud Platform (GCP) provides autoscaling compute power and distributed in-memory cache, task queues, and datastores to write, build, and deploy Cloud-hosted applications.With Google Cloud Platform for Developers, you will be able to develop and deploy scalable applications from scratch and make them globally available in almost any language. This book will guide you in designing, deploying, and managing applications running on Google Cloud. You’ll start with App Engine and move on to work with Container Engine, compute engine, and cloud functions. You’ll learn how to integrate your new applications with the various data solutions on GCP, including Cloud SQL, Bigtable, and Cloud Storage. This book will teach you how to streamline your workflow with tools such as Source Repositories, Container Builder, and StackDriver. Along the way, you’ll see how to deploy and debug services with IntelliJ, implement continuous delivery pipelines, and configure robust monitoring and alerting for your production systems.By the end of this book, you’ll be well-versed with all the development tools of Google Cloud Platform, and you’ll develop, deploy, and manage highly scalable and reliable applications.
Kieran Kavanagh, Priyanka Vergadia
Most companies today are incorporating AI/ML into their businesses. Building and running apps utilizing AI/ML effectively is tough. This book, authored by a principal architect with about two decades of industry experience, who has led cross-functional teams to design, plan, implement, and govern enterprise cloud strategies, shows you exactly how to design and run AI/ML workloads successfully using years of experience from some of the world’s leading tech companies.You’ll get a clear understanding of essential fundamental AI/ML concepts, before moving on to complex topics with the help of examples and hands-on activities. This will help you explore advanced, cutting-edge AI/ML applications that address real-world use cases in today’s market. You’ll recognize the common challenges that companies face when implementing AI/ML workloads, and discover industry-proven best practices to overcome these. The chapters also teach you about the vast AI/ML landscape on Google Cloud and how to implement all the steps needed in a typical AI/ML project. You’ll use services such as BigQuery to prepare data; Vertex AI to train, deploy, monitor, and scale models in production; as well as MLOps to automate the entire process.By the end of this book, you will be able to unlock the full potential of Google Cloud's AI/ML offerings.
Alper Dincer, Balkan Uraz
Day by day, the use of location data is becoming more and more popular, and Google is one of the main game changers in this area. The Google Maps JavaScript API is one of the most functional and robust mapping APIs used among Geo developers. With Google Maps, you can build location-based apps, maps for mobile apps, visualize geospatial data, and customize your own maps.Google Maps JavaScript API Cookbook is a practical, hands-on guide that provides you with a number of clear, step-by-step recipes that will help you to unleash the capabilities of the Google Maps JavaScript API in conjunction with open source or commercial GIS servers and services through a number of practical examples of real world scenarios.This book begins by covering the essentials of including simple maps for Web and mobile, adding vector and raster layers, styling your own base maps, creating your own controls and responding to events, and including your own events.You will learn how to integrate open source or commercial GIS servers and services including ArcGIS Server, GeoServer, CartoDB, Fusion Tables, and Google Maps Engine with the Google Maps JavaScript API. You will also extend the Google Maps JavaScript API to push its capabilities to the limit with additional libraries and services including geometry, AdSense, geocoding, directions, and StreetView.This book covers everything you need to know about creating a web map or GIS applications using the Google Maps JavaScript API on multiple platforms.
Ralph Roberts
Through over 100 books, mostly computer-related, the author has mastered a fun but information packed style that gives you exactly what you want — up to speed on Plus with minimal effort and maximum results. Google+ or Plus (the terms are interchangeable) was written for everyone. This book mirrors that concept and is written for everyone — from us techheads (early adopters) to delightful old Aunt Mable and the rest of the Thursday Night Bridge Club. Because social networking exists for all people and we are all people — all of us are plusses on Plus.
Robin de Jongh
Creating video game environments similar to the best 3D games on the market is now within the capability of hobbyists for the first time, with the free availability of game development software such as Unity 3D, and the ease with which groups of enthusiasts can get together to pool their skills for a game project. The sheer number of these independent game projects springing up means there is a constant need for game art, the physical 3D environment and objects that inhabit these game worlds. Now thanks to Google there is an easy, fun way to create professional game art, levels and props.Google SketchUp is the natural choice for beginners to game design. This book provides you with the workflow to quickly build realistic 3D environments, levels, and props to fill your game world. In simple steps you will model terrain, buildings, vehicles, and much more.Google SketchUp is the ideal entry level modeling tool for game design, allowing you to take digital photographs and turn them into 3D objects for quick, fun, game creation. SketchUp for Game Design takes you through the modeling of a game level with SketchUp and Unity 3D, complete with all game art, textures and props. You will learn how to create cars, buildings, terrain, tools and standard level props such as barrels, fencing and wooden pallets. You will set up your game level in Unity 3D to create a fully functional first person walk-around level to email to your friends or future employers.When you have completed the projects in this book, you will be comfortable creating 3D worlds, whether for games, visualization, or films.
Traci Lynn Ruthkoski
There's a lot of data in our world, and visual representations are often the best method of making sense of it all. Yet, it should not take an army of programmers and analysts to create visualizations in order to make data useful. The Google Visualization API is accessible to novice and advanced programmers alike, making data useful to more people.Google Visualization API Essentials will show you how to create interactive data displays with very little code. The API, combined with Google Spreadsheets and Fusion Tables, is a complete system, from data management to analytical displays. Not only is it simple to learn, but the Google Visualization API can also be viewed as a first step to learning additional Google APIs.Google Visualization API Essentials uses both methodology overviews and hands-on examples with real data to introduce chart and graph creation on the Google platform. Topics are presented from various aspects, including Google Spreadsheets and Fusion Tables, and Graphic User Interfaces. An overview of the various API development environments available to developers is also covered. Basic and advanced charts, data source connectivity, style formatting, and publishing options are also explored in depth.Google Visualization API Essentials brings the arsenal of Google Visualizations into the web developer toolkit.
Shamsuddin Ahammad
GWT 2 radically improves web experience for users by using existing Java tools to build no-compromise AJAX for any modern browser. It provides a solid platform so that other great libraries can be built on top of GWT. Creating web applications efficiently and making them impressive, however, is not as easy as it sounds. Writing web applications for multiple browsers can be quite tasking. In addition, building, reusing, and maintaining large JavaScript code bases and AJAX components can be difficult. GWT 2 Application Development Cookbook eases these burdens by allowing developers to quickly build and maintain complex yet highly efficient JavaScript front-end applications in the Java programming language . It tells you how to make web experience all the more thrilling and hassle free, using various tools along with GWT SDK.This book starts with developing an application from scratch. Right from creating the layout of the home page to home page elements including left and right sidebars, to placing tree like navigational menu, menu bars, tool bars, banners, footers are discussed with examples.You will see how to create forms using the Ext GWT library widgets and handle different types of events. Then you will move on to see how to design a database for sales processing systems and learn to create the database in MySQL with the help of easy–to-follow recipes.One of the interesting topics of this book is using JPA in GWT. Using the JPA object in GWT is a challenge. To use them perfectly, a mechanism to convert the JPA object into plain object and vice versa is required. You will see recipes to use entity classes, entity managers, and controller classes in GWT application. You will efficiently create reports with parameters, variables and subreports, and get the report output in both HTML and PDF format using real-world recipes.You will then learn to configure the GlassFish server to deploy a GWT application with database. Finally, learn how to trace speed and improve perfomance in web applications using tracing techniques.
Balaji Iyer
Google Workspace has evolved from individual Google services to a suite of apps that improve productivity and promote efficient collaboration in an enterprise organization.This book takes you through the evolution of Google Workspace, features included in each Workspace edition, and various core services, such as Cloud Identity, Gmail, and Calendar. You’ll explore the functionality of each configuration, which will help you make informed decisions for your organization. Later chapters will show you how to implement security configurations that are available at different layers of Workspace and also how Workspace meets essential enterprise compliance needs. You’ll gain a high-level overview of the core services available in Google Workspace, including Google Apps Script, AppSheet, and Google Cloud Platform. Finally, you’ll explore the different tools Google offers when you’re adopting Google Cloud and migrating your data from legacy mail servers or on-premises applications over to cloud servers.By the end of this Google Workspace book, you’ll be able to successfully deploy Google Workspace, configure users, and migrate data, thereby helping with cloud adoption.
Nigel King, Adil Khan
It seems that every year since the Enron collapse there has been a fresh debacle that refuses to lower the spotlight from corporate Governance, Risk, and Compliance management.Before Sarbanes Oxely forced company managers to become risk conscious, if you asked a chief executive whether he thought he had adequate internal controls, the most likely answer would have been What is an internal control? This is clearly no longer the case. Every week some story breaks detailing a lack of good governance, a failure to plan for a foreseeable catastrophe or a failure to comply with an important law or regulation. These stories bring GRC themes into public view, and public scrutiny, and make management and directors keen to show they have put their best efforts forward to govern their companies well, manage risks to the enterprise, and to comply with all applicable laws.Perhaps only Oracle and SAP are in a position to really address all three aspects. The mission of GRC applications is to ensure that the managers and directors of Enterprises that run such applications have a strong defensible position. Written by industry experts with more than 30 years combined experience, this book covers the Governance, Risk Management and Compliance Management of a large modern enterprise and how the IT Infrastructure, in particular the Oracle IT Infrastructure, can assist in that governance. This book is not an implementation guide for GRC products rather it shows you how those products participate in the governance process, how they introduce or mitigate risk, and how they can be brought into compliance with best practice, as well as applicable laws and regulations.The book is divided into three major sections:Governance ñ where we discuss the strategic management of the enterprise, setting plans for managers, making disclosures to investors, and ensuring that the board knows that the enterprise is meeting its goals and staying within its policies.Risk Management ñ where we discuss audit disciplines. This is where we work out what can go wrong, document what we have to do to prevent it from going wrong and check that what we think prevents it going wrong - actually works! We move through the various sub-disciplines within the audit profession and show what tools are best suited from within the Oracle family to assist.Compliance Management ñ where we map the tools and facilities that we have discovered in the first two sections to frameworks and legislations. We give this from an industry and geography agnostic viewpoint, and then drill into some specific industries and countries.We neither stay in the narrow definition of GRC applications, nor limit ourselves to the Business Applications but take you to the most appropriate places in the full Oracle footprint. The book is written from the perspective of big GRC. It is not an implementation manual for the GRC products, although we hope you can get the best out of the GRC products after reading this book. We discuss many applications and technology products that are not in the GRC product family.
GPT-3. The Ultimate Guide To Building NLP Products With OpenAI API
Sandra Kublik, Shubham Saboo
GPT-3 has made creating AI apps simpler than ever. This book provides a comprehensive guide on how to utilize the OpenAI API with ease. It explores imaginative methods of utilizing this tool for your specific needs and showcases successful businesses that have been established through its use.The book is divided into two sections, with the first focusing on the fundamentals of the OpenAI API. The second part examines the dynamic and thriving environment that has arisen around GPT-3.Chapter 1 sets the stage with background information and defining key terms. Chapter 2 goes in-depth into the API, breaking it down into its essential components, explaining their functions and offering best practices. Chapter 3, you will build your first app with GPT-3.Chapter 4 features interviews with the founders of successful GPT-3-based products, who share challenges and insights gained. Chapter 5 examines the perspective of enterprises on GPT-3 and its potential for adoption. The problematic consequences of widespread GPT-3 adoption, such as misapplication and bias, are addressed along with efforts to resolve these issues in Chapter 6. Finally, Chapter 7 delves into the future by exploring the most exciting trends and possibilities as GPT-3 becomes increasingly integrated into the commercial ecosystem.
Paulo Motta
Written by Paulo Motta, a senior researcher with decades of experience, this comprehensive GPU programming book is an essential guide for leveraging the power of parallelism to accelerate your computations. The first section introduces the concept of parallelism and provides practical advice on how to think about and utilize it effectively. Starting with a basic GPU program, you then gain hands-on experience in managing the device. This foundational knowledge is then expanded by parallelizing the program to illustrate how GPUs enhance performance.The second section explores GPU architecture and implementation strategies for parallel algorithms, and offers practical insights into optimizing resource usage for efficient execution.In the final section, you will explore advanced topics such as utilizing CUDA streams. You will also learn how to package and distribute GPU-accelerated libraries for the Python ecosystem, extending the reach and impact of your work.Combining expert insight with real-world problem solving, this book is a valuable resource for developers and researchers aiming to harness the full potential of GPU computing. The blend of theoretical foundations, practical programming techniques, and advanced optimization strategies it offers is sure to help you succeed in the fast-evolving field of GPU programming.
Hubert Klein Ikkink, Gradle GmbH
Gradle is the next generation in build automation. It uses convention-over-configuration to provide good defaults, but is also flexible enough to be usable in every situation you encounter in daily development. Build logic is described with a powerful DSL and empowers developers to create reusable and maintainable build logic.Gradle Effective Implementation Guide is a great introduction and reference for using Gradle. The Gradle build language is explained with hands on code and practical applications. You learn how to apply Gradle in your Java, Scala or Groovy projects, integrate with your favorite IDE and how to integrate with well-known continuous integration servers.Start with the foundations and work your way through hands on examples to build your knowledge of Gradle to skyscraper heights. You will quickly learn the basics of Gradle, how to write tasks, work with files and how to use write build scripts using the Groovy DSL. Then as you develop you will be shown how to use Gradle for Java projects. Compile, package, test and deploy your applications with ease. When you've mastered the simple, move on to the sublime and integrate your code with continuous integration servers and IDEs. By the end of the Gradle Effective Implementation Guide you will be able to use Gradle in your daily development. Writing tasks, applying plugins and creating build logic will be second nature.
Hubert Klein Ikkink
Gradle is a project automation tool that has a wide range of applications. The basic aim of Gradle is to automate a wide variety of tasks performed by software developers, including compiling computer source code to binary code, packaging binary codes, running tests, deploying applications to production systems, and creating documentation.The book will start with the fundamentals of Gradle and introduce you to the tools that will be used in further chapters. You will learn to create and work with Gradle scripts and then see how to use Gradle to build your Java Projects. While building Java application, you will find out about other important topics such as dependency management, publishing artifacts, and integrating the application with other JVM languages such as Scala and Groovy. By the end of this book, you will be able to use Gradle in your daily development. Writing tasks, applying plugins, and creating build logic will be your second nature.
Kunal Dabir, Abhinandan Maheshwari
Gradle is an advanced and modern build automation tool. It inherits the best elements of the past generation of build tools, but it also differs and innovates to bring terseness, elegance, simplicity, and the flexibility to build.Right from installing Gradle and writing your first build file to creating a fully-fledged multi-module project build, this book will guide you through its topics in a step-by-step fashion.You will get your hands dirty with a simple Java project built with Gradle and go on to build web applications that are run with Jetty or Tomcat. We take a unique approach towards explaining the DSL using the Gradle API, which makes the DSL more accessible and intuitive. All in all, this book is a concise guide to help you decipher the Gradle build files, covering the essential topics that are most useful in real-world projects. With every chapter, you will learn a new topic and be able to readily implement your build files.
Grails 1.1 Web Application Development. Reclaiming Productivity for faster Java Web Development
Jon Dickinson
Web development is trickyóeven a simple web application has a number of context changes ready to trip up the unwary. Grails takes the everyday pain out of web application development, allowing us to focus on delivering real application logic and create seamless experiences that will address the needs of our users. This book will take the pain out of Grails by showing you exactly how to build a web application with a minimum of fuss.With this book, even if you are new to Grails, you will be up and running before you know it. You will be able to code faster and your code will be better. This clear and concise book is packed with examples and clear instructions to help you build your first Grails application and gives you the skills to speed up your application development by adding a different angle for learning about the topic. After a brief introduction to the dynamic JVM-based Groovy programming language, which teaches you enough about Groovy to understand the relationship between Grails and the Groovy scripting language, it shows how to use Grails and a number of key plug-ins to deliver valuable web applications. It also takes you through creating, developing, testing, and deploying an example team collaboration application in Grails.Using an incremental and iterative approach you will learn how to build a basic web application with secure authentication and different levels of authorization. You will learn how to handle file upload allowing users to share files. Some advanced features of object-oriented persistence will be introduced through adding tags for messages and files to giving users a robust categorization system.You will then build on the basic application to enhance the user experience through AJAX and the RichUI plug-in. You will take a further step into the world of Web 2.0 by adding an RSS feed and a REST service to the application. Once the entire application is up and running, you will learn how to create your own plug-in for tagging. Finally, you will learn how to deploy this application to a production environment.
Gary Hutson, Matt Jackson
Graphs have become increasingly integral to powering the products and services we use in our daily lives, driving social media, online shopping recommendations, and even fraud detection. With this book, you’ll see how a good graph data model can help enhance efficiency and unlock hidden insights through complex network analysis.Graph Data Modeling in Python will guide you through designing, implementing, and harnessing a variety of graph data models using the popular open source Python libraries NetworkX and igraph. Following practical use cases and examples, you’ll find out how to design optimal graph models capable of supporting a wide range of queries and features. Moreover, you’ll seamlessly transition from traditional relational databases and tabular data to the dynamic world of graph data structures that allow powerful, path-based analyses. As well as learning how to manage a persistent graph database using Neo4j, you’ll also get to grips with adapting your network model to evolving data requirements.By the end of this book, you’ll be able to transform tabular data into powerful graph data models. In essence, you’ll build your knowledge from beginner to advanced-level practitioner in no time.
Ravindranatha Anthapu
While it is easy to learn and understand the Cypher declarative language for querying graph databases, it can be very difficult to master it. As graph databases are becoming more mainstream, there is a dearth of content and guidance for developers to leverage database capabilities fully. This book fills the information gap by describing graph traversal patterns in a simple and readable way.This book provides a guided tour of Cypher from understanding the syntax, building a graph data model, and loading the data into graphs to building queries and profiling the queries for best performance. It introduces APOC utilities that can augment Cypher queries to build complex queries. You’ll also be introduced to visualization tools such as Bloom to get the most out of the graph when presenting the results to the end users.After having worked through this book, you’ll have become a seasoned Cypher query developer with a good understanding of the query language and how to use it for the best performance.
Estelle Scifo
Neo4j, along with its Graph Data Science (GDS) library, is a complete solution to store, query, and analyze graph data. As graph databases are getting more popular among developers, data scientists are likely to face such databases in their career, making it an indispensable skill to work with graph algorithms for extracting context information and improving the overall model prediction performance.Data scientists working with Python will be able to put their knowledge to work with this practical guide to Neo4j and the GDS library that offers step-by-step explanations of essential concepts and practical instructions for implementing data science techniques on graph data using the latest Neo4j version 5 and its associated libraries. You’ll start by querying Neo4j with Cypher and learn how to characterize graph datasets. As you get the hang of running graph algorithms on graph data stored into Neo4j, you’ll understand the new and advanced capabilities of the GDS library that enable you to make predictions and write data science pipelines. Using the newly released GDSL Python driver, you’ll be able to integrate graph algorithms into your ML pipeline.By the end of this book, you’ll be able to take advantage of the relationships in your dataset to improve your current model and make other types of elaborate predictions.
Aldo Marzullo, Enrico Deusebio, Claudio Stamile
Graph Machine Learning, Second Edition builds on its predecessor’s success, delivering the latest tools and techniques for this rapidly evolving field. From basic graph theory to advanced ML models, you’ll learn how to represent data as graphs to uncover hidden patterns and relationships, with practical implementation emphasized through refreshed code examples. This thoroughly updated edition replaces outdated examples with modern alternatives such as PyTorch and DGL, available on GitHub to support enhanced learning.The book also introduces new chapters on large language models and temporal graph learning, along with deeper insights into modern graph ML frameworks. Rather than serving as a step-by-step tutorial, it focuses on equipping you with fundamental problem-solving approaches that remain valuable even as specific technologies evolve. You will have a clear framework for assessing and selecting the right tools.By the end of this book, you’ll gain both a solid understanding of graph machine learning theory and the skills to apply it to real-world challenges.*Email sign-up and proof of purchase required -
Claudio Stamile, Aldo Marzullo, Enrico Deusebio
Graph Machine Learning will introduce you to a set of tools used for processing network data and leveraging the power of the relation between entities that can be used for predictive, modeling, and analytics tasks. The first chapters will introduce you to graph theory and graph machine learning, as well as the scope of their potential use. You’ll then learn all you need to know about the main machine learning models for graph representation learning: their purpose, how they work, and how they can be implemented in a wide range of supervised and unsupervised learning applications. You'll build a complete machine learning pipeline, including data processing, model training, and prediction in order to exploit the full potential of graph data. After covering the basics, you’ll be taken through real-world scenarios such as extracting data from social networks, text analytics, and natural language processing (NLP) using graphs and financial transaction systems on graphs. You’ll also learn how to build and scale out data-driven applications for graph analytics to store, query, and process network information, and explore the latest trends on graphs. By the end of this machine learning book, you will have learned essential concepts of graph theory and all the algorithms and techniques used to build successful machine learning applications.
GraphQL Best Practices. Gain hands-on experience with schema design, security, and error handling
Artur Czemiel
In the ever-evolving landscape of web development, GraphQL has emerged as a powerful query language that addresses the limitations of traditional REST APIs. This guide delves deep into GraphQL, starting with its foundational principles and swiftly advancing to complex topics that will equip you with the skills you need to understand this technology.As you progress, you’ll cover advanced concepts such as schema design, security enhancements, and error handling. You'll also explore essential topics such as federation and the transition from REST to GraphQL, gaining a comprehensive understanding of these critical areas. The book helps you learn through practical examples in TypeScript, guiding you through building scalable and secure GraphQL backends. Additionally, you’ll get up to speed with the intricacies of frontend integration.By the end of this book, you’ll have the skills you need to implement real-world GraphQL solutions, creating efficient and robust applications that meet modern web development demands.
Green Software Engineering. Exploring Green Technology for Sustainable IT Solutions
Santiago Fontanarrosa
Embark on a transformative journey toward sustainable software engineering, exploring the vital intersection of technology and environmental responsibility. Authored by Santiago Fontanarrosa, a Green Software Foundation member with 20+ years in software engineering, this book explores practical strategies and use cases to help you assess and mitigate digital product environmental impact.Through real-world examples and hands-on experiences, you’ll gain the skills you need to craft environmentally responsible solutions aligned with green software engineering principles. As you progress, you’ll assess and optimize software architecture for sustainability within a sustainable software delivery framework schema. Beyond technical insights, the book delves into ethical implications and societal impacts, fostering a deeper understanding of the broader implications of technology usage.As you approach the conclusion, you’ll have gained the ability to comprehend, measure, and craft energy-efficient digital solutions aligned with green software engineering principles.