Programowanie
Hubert Klein Ikkink
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.
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 -
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.
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.
Andrey Adamovich, Luciano Fiandesio
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.
Shiva Achari
This book jumps into the world of Hadoop and its tools, to help you learn how to use them effectively to optimize and improve the way you handle Big Data.Starting with the fundamentals Hadoop YARN, MapReduce, HDFS, and other vital elements in the Hadoop ecosystem, you will soon learn many exciting topics such as MapReduce patterns, data management, and real-time data analysis using Hadoop. You will also explore a number of the leading data processing tools including Hive and Pig, and learn how to use Sqoop and Flume, two of the most powerful technologies used for data ingestion. With further guidance on data streaming and real-time analytics with Storm and Spark, Hadoop Essentials is a reliable and relevant resource for anyone who understands the difficulties - and opportunities - presented by Big Data today.With this guide, you'll develop your confidence with Hadoop, and be able to use the knowledge and skills you learn to successfully harness its unparalleled capabilities.
If you are a Big Data enthusiast and wish to use Hadoop v2 to solve your problems, then this book is for you. This book is for Java programmers with little to moderate knowledge of Hadoop MapReduce. This is also a one-stop reference for developers and system admins who want to quickly get up to speed with using Hadoop v2. It would be helpful to have a basic knowledge of software development using Java and a basic working knowledge of Linux.
Jason Morris
A great user interface (UI) can spell the difference between success and failure for any new application. This book will show you not just how to code great UIs, but how to design them as well. It will take novice Android developers on a journey, showing them how to leverage the Android platform to produce stunning Android applications. Begin with the basics of creating Android applications and then move on to topics such as screen and layout design. Next, learn about techniques that will help improve performance for your application. Also, explore how to create reactive applications that are fast, animated, and guide the user toward their goals with minimal distraction. Understand Android architecture components and learn how to build your application to automatically respond to changes made by the user. Great platforms are not always enough, so this book also focuses on creating custom components, layout managers, and 2D graphics. Also, explore many tips and best practices to ease your UI development process. By the end, you'll be able to design and build not only amazing UIs, but also systems that provide the best possible user experience.
Quan Nguyen
JetBrain’s PyCharm is the most popular Integrated Development Environment (IDE) used by the Python community thanks to its numerous features that facilitate faster, more accurate, and more productive programming practices. However, the abundance of options and customizations can make PyCharm seem quite intimidating.Hands-on Application Development with PyCharm starts with PyCharm’s installation and configuration process, and systematically takes you through a number of its powerful features that can greatly improve your productivity. You’ll explore code automation, version control, graphical debugging/testing, management of virtual environments, and much more. Finally, you’ll delve into specific PyCharm features that support web development and data science, two of the fastest growing applications in Python programming. These include the integration of the Django framework as well as the extensive support for IPython and Jupyter Notebook.By the end of this PyCharm book, you will have gained extensive knowledge of the tool and be able to implement its features and make the most of its support for your projects.
Jeffrey Ng , Subhash Shah
Remodeling your outlook on banking begins with keeping up to date with the latest and most effective approaches, such as artificial intelligence (AI). Hands-On Artificial Intelligence for Banking is a practical guide that will help you advance in your career in the banking domain. The book will demonstrate AI implementation to make your banking services smoother, more cost-efficient, and accessible to clients, focusing on both the client- and server-side uses of AI.You’ll begin by understanding the importance of artificial intelligence, while also gaining insights into the recent AI revolution in the banking industry. Next, you’ll get hands-on machine learning experience, exploring how to use time series analysis and reinforcement learning to automate client procurements and banking and finance decisions. After this, you’ll progress to learning about mechanizing capital market decisions, using automated portfolio management systems and predicting the future of investment banking. In addition to this, you’ll explore concepts such as building personal wealth advisors and mass customization of client lifetime wealth. Finally, you’ll get to grips with some real-world AI considerations in the field of banking. By the end of this book, you’ll be equipped with the skills you need to navigate the finance domain by leveraging the power of AI.
Alessandro Parisi
Today's organizations spend billions of dollars globally on cybersecurity. Artificial intelligence has emerged as a great solution for building smarter and safer security systems that allow you to predict and detect suspicious network activity, such as phishing or unauthorized intrusions.This cybersecurity book presents and demonstrates popular and successful AI approaches and models that you can adapt to detect potential attacks and protect your corporate systems. You'll learn about the role of machine learning and neural networks, as well as deep learning in cybersecurity, and you'll also learn how you can infuse AI capabilities into building smart defensive mechanisms. As you advance, you'll be able to apply these strategies across a variety of applications, including spam filters, network intrusion detection, botnet detection, and secure authentication.By the end of this book, you'll be ready to develop intelligent systems that can detect unusual and suspicious patterns and attacks, thereby developing strong network security defenses using AI.
Dr. Amita Kapoor
Transform IoT devices into intelligent systems with this comprehensive guide by Amita Kapoor, Chief AI Officer at Tipz AI. Drawing on 25 years of expertise in developing intelligent systems across industries, she demonstrates how to harness the combined power of artificial intelligence and IoT technology. A pioneer in making AI and neuroscience education accessible worldwide, Amita guides you through creating smart, efficient systems that leverage the latest advances in both fields. This new edition is updated with various optimization techniques in IoT used for enhancing efficiency and performance. It introduces you to cloud platforms such as Platform as a Service (PaaS) and Infrastructure as a Service (IaaS) for analyzing data generated using IoT devices. You’ll learn about machine learning algorithms, deep learning techniques, and practical applications in real-world IoT scenarios and advance to creating AI models that work with diverse data types, including time series, images, and audio. You’ll also harness the power of widely used Python libraries, TensorFlow and Keras, to build a variety of smart AI models. *Email sign-up and proof of purchase required
Subhashini Tripuraneni, Charles Song
From data wrangling through to translating text, you can accomplish this and more with the artificial intelligence and machine learning services available on AWS.With this book, you’ll work through hands-on exercises and learn to use these services to solve real-world problems. You’ll even design, develop, monitor, and maintain machine and deep learning models on AWS.The book starts with an introduction to AI and its applications in different industries, along with an overview of AWS artificial intelligence and machine learning services. You’ll then get to grips with detecting and translating text with Amazon Rekognition and Amazon Translate. The book will assist you in performing speech-to-text with Amazon Transcribe and Amazon Polly. Later, you’ll discover the use of Amazon Comprehend for extracting information from text, and Amazon Lex for building voice chatbots. You will also understand the key capabilities of Amazon SageMaker such as wrangling big data, discovering topics in text collections, and classifying images. Finally, you’ll cover sales forecasting with deep learning and autoregression, before exploring the importance of a feedback loop in machine learning.By the end of this book, you will have the skills you need to implement AI in AWS through hands-on exercises that cover all aspects of the ML model life cycle.