Programowanie

Gradle Effective Implementation Guide. A must-read for Java developers, this book will bring you bang up to date in the techniques of build automation using Gradle. A fully hands-on approach makes learning natural and entertaining

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.

Gradle Effective Implementations Guide. This comprehensive guide will get you up and running with build automation using Gradle. - Second Edition

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.

Gradle Essentials. Master the fundamentals of Gradle using real-world projects with this quick and easy-to-read guide

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.

Graph Data Science with Neo4j. Learn how to use Neo4j 5 with Graph Data Science library 2.0 and its Python driver for your project

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.

Graph Machine Learning. Learn about the latest advancements in graph data to build robust machine learning models - Second Edition

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 -

Gray Hat C#. Język C# w kontroli i łamaniu zabezpieczeń

Brandon Perry

C# to nowoczesny język programowania, który został od podstaw zaprojektowany jako obiektowy. Ta dojrzała technologia jest często wybierana przez twórców oprogramowania, również tego służącego do pokonywania zabezpieczeń systemów. Dzięki temu, że platforma .NET jest oprogramowaniem open source, w C# można pisać kod, który bez problemu będzie działał w każdym systemie operacyjnym. Co prawda język ten jest prosty i łatwy do nauczenia się, jednak dopiero gruntowna znajomość C# umożliwia efektywne tworzenie narzędzi związanych z bezpieczeństwem, służących choćby do wyszukiwania luk w infrastrukturze czy prowadzenia testów penetracyjnych. Ta książka jest przeznaczona dla specjalistów ds. bezpieczeństwa, którzy chcą korzystać z języka C# do takich zadań jak fuzzowanie, skanowanie w poszukiwaniu luk zabezpieczeń i analiza złośliwego oprogramowania. Opisano tu zarówno podstawy języka C#, jak i jego dość zaawansowane funkcje. Przedstawiono szereg bibliotek dostępnych dla tego języka. Pokazano, jak pisać kod wyszukujący luki w zabezpieczeniach i jak tworzyć eksploity. Przedstawiono sposoby korzystania z takich narzędzi jak Nessus, sqlmap i Cuckoo Sandbox. Dzięki technikom zaprezentowanym w książce administrator bezpieczeństwa bez problemu zautomatyzuje nawet najbardziej żmudne codzienne zadania! W tej książce między innymi: Podstawowe i zaawansowane funkcjonalności języka C# Generowanie kodu ładunków, również wieloplatformowych Skanery, w tym OpenVAS, Nessus i Nexpose Automatyczna identyfikacja luk umożliwiających wstrzyknięcie kodu SQL Tworzenie w C# narzędzi do inżynierii wstecznej C#. Sprawdź swój system zabezpieczeń! Brandon Perry jest programistą i gorącym zwolennikiem idei open source. Odkąd pojawiło się środowisko Mono, pisze aplikacje w języku C#. Tworzy też moduły dla frameworka Metasploit, analizuje pliki binarne i zarządza ciekawymi projektami (https://volatileminds.net/). Fascynuje się badaniami nad bezpieczeństwem systemów informatycznych. Chętnie dzieli się swoją wiedzą, pisze książki i pomaga innym w tworzeniu solidniejszego oprogramowania.

Groovy 2 Cookbook. Java and Groovy go together like ham and eggs, and this book is a great opportunity to learn how to exploit Groovy 2 to the full. Packed with recipes, both intermediate and advanced, it's a great way to speed up and modernize your programming

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.

gRPC Go for Professionals. Implement, test, and deploy production-grade microservices

Clément Jean

In recent years, the popularity of microservice architecture has surged, bringing forth a new set of requirements. Among these, efficient communication between the different services takes center stage, and that's where gRPC shines. This book will take you through creating gRPC servers and clients in an efficient, secure, and scalable way. However, communication is just one aspect of microservices, so this book goes beyond that to show you how to deploy your application on Kubernetes and configure other tools that are needed for making your application more resilient. With these tools at your disposal, you’ll be ready to get started with using gRPC in a microservice architecture.In gRPC Go for Professionals, you'll explore core concepts such as message transmission and the role of Protobuf in serialization and deserialization. Through a step-by-step implementation of a TODO list API, you’ll see the different features of gRPC in action. You’ll then learn different approaches for testing your services and debugging your API endpoints. Finally, you’ll get to grips with deploying the application services via Docker images and Kubernetes.