Видавець: Packt Publishing
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
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.
Richard A. Hawley
This book is a practical guide with examples and clear steps to explain terrain modeling with Grome. If you’re a developer or artist looking for a guide to walk you through GROME 3.1, then this book is for you. This book will help you from the first step to exporting a terrain as a workable art asset in a game engine.
Luciano Fiandesio, Andrey Adamovich, Andrey Adamovich And...
Get up to speed with Groovy, a language for the Java Virtual Machine (JVM) that integrates features of both object-oriented and functional programming. This book will show you the powerful features of Groovy 2 applied to real-world scenarios and how the dynamic nature of the language makes it very simple to tackle problems that would otherwise require hours or days of research and implementation.Groovy 2 Cookbook contains a vast number of recipes covering many facets of today's programming landscape. From language-specific topics such as closures and metaprogramming, to more advanced applications of Groovy flexibility such as DSL and testing techniques, this book gives you quick solutions to everyday problems.The recipes in this book start from the basics of installing Groovy and running your first scripts and continue with progressively more advanced examples that will help you to take advantage of the language's amazing features.Packed with hundreds of tried-and-true Groovy recipes, Groovy 2 Cookbook includes code segments covering many specialized APIs to work with files and collections, manipulate XML, work with REST services and JSON, create asynchronous tasks, and more. But Groovy does more than just ease traditional Java development: it brings modern programming features to the Java platform like closures, duck-typing, and metaprogramming.In this new book, you'll find code examples that you can use in your projects right away along with a discussion about how and why the solution works. Focusing on what's useful and tricky, Groovy 2 Cookbook offers a wealth of useful code for all Java and Groovy programmers, not just advanced practitioners.