Java EE 7 First Look. Discover the new features of Java EE 7 and learn to put them together to build a large-scale application

NDJOBO Armel Fabrice, Armel Fabrice NDJOBO

For several years, the development of robust, scalable, and secured applications was a headache for software companies. They had to use proprietary solutions with non-standard methods. With Java EE, many of these solutions have been standardized, simplified, adapted to the needs of the developer, and made freely available to the community. Thus, it is now possible to develop truly robust, secure, and scalable applications at a lower cost using tools such as: Eclipse, NetBeans, and GlassFish.Java EE 7 First Look is a practical guide which, through the creation of an online pre-registration website, will introduce you to the novelties of Java EE 7 and give you ideas for utilizing them.Giving you an insight on new features introduced in Java EE 7, this book begins with the objectives of Java EE 7 and then covers the new specifications added in Java EE 7. Next, you will move on to the improvements made in APIs and EJBs and how to work with them. You will also learn how to ensure that the quality of data is maintained that has been manipulated by your application and gives you the opportunity to put a small part of AOP (Aspect Oriented Programming) in action.Finally, the book will give you some ideas to realize n-tier applications using the Java EE platform and will also provide some guidance for the integration of your Java EE application to heterogeneous systems with which your application will interact.After reading Java EE 7 First Look, you'll have a good idea about the changes brought in by Java EE 7, as well as how to make the best use of these to build a large-scale application.

Kubernetes - An Enterprise Guide. Effectively containerize applications, integrate enterprise systems, and scale applications in your enterprise - Second Edition

Marc Boorshtein, Scott Surovich

Kubernetes has taken the world by storm, becoming the standard infrastructure for DevOps teams to develop, test, and run applications. With significant updates in each chapter, this revised edition will help you acquire the knowledge and tools required to integrate Kubernetes clusters in an enterprise environment.The book introduces you to Docker and Kubernetes fundamentals, including a review of basic Kubernetes objects. You’ll get to grips with containerization and understand its core functionalities such as creating ephemeral multinode clusters using KinD. The book has replaced PodSecurityPolicies (PSP) with OPA/Gatekeeper for PSP-like enforcement. You’ll integrate your container into a cloud platform and tools including MetalLB, externalDNS, OpenID connect (OIDC), Open Policy Agent (OPA), Falco, and Velero. After learning to deploy your core cluster, you’ll learn how to deploy Istio and how to deploy both monolithic applications and microservices into your service mesh. Finally, you will discover how to deploy an entire GitOps platform to Kubernetes using continuous integration and continuous delivery (CI/CD).

Data Visualization: a successful design process

Andy Kirk, Andy Kirk

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 locked away.Data Visualization: a Successful Design Process explores the unique fusion of art and science that is data visualization; a discipline for which instinct alone is insufficient for you to succeed in enabling audiences to discover key trends, insights and discoveries from your data. This book will equip you with the key techniques required to overcome contemporary data visualization challenges. You'll discover a proven design methodology that helps you develop invaluable knowledge and practical capabilities.You'll never again settle for a default Excel chart or resort to fancy-looking graphs. You will be able to work from the starting point of acquiring, preparing and familiarizing with your data, right through to concept design. Choose your killer visual representation to engage and inform your audience.Data Visualization: a Successful Design Process will inspire you to relish any visualization project with greater confidence and bullish know-how; turning challenges into exciting design opportunities.

vBulletin: A Users Guide. Configure, manage and maintain your own vBulletin discussion forum

Kathy Kingsley-Hughes, Adrian Kingsley-Hughes, Ashley Busby

Written specifically to allow you to create a discussion forum, vBulletin, provides all of the tools, features and functionality for you to set up and develop a vibrant community. Because it specializes in this one aspect of your website, all the features are geared towards this goal, and you can leave the improvement and additions to the vBulletin developers while you get on with managing the rest of your website. If you are either already running a community forum based on vBulletin, or are planning on establishing one, then this is the book for you. This book will guide you through installing, configuring, managing and maintaining a vBulletin discussion forum on your own website. The book begins with the initial installation and configuration of vBulletin on your system. You will then go on a tour of vBulletin and its features, for both users and administrators. This will grow your understanding and familiarise you with the power and possibilities of vBulletin. vBulletin's Administration Control Panel is where you can control every aspect of your board. From users, forums and word filters to skins, templates and maintenance, everything can be done through the web-based control panel. The book devotes significant sections to covering these, getting you up to speed on the options available to you, and offering advice to help you make the right choices with your board administration. To make your forums stand out from the rest, we cover skins and templates to take your first steps in customising your forum. vBulletin is one of the most popular forum platforms available. Well known for its power and speed, it drives many of the most popular discussion forums on the Internet.

Essential Mathematics for Quantum Computing. A beginner's guide to just the math you need without needless complexities

Leonard S. Woody III

Quantum computing is an exciting subject that offers hope to solve the world’s most complex problems at a quicker pace. It is being used quite widely in different spheres of technology, including cybersecurity, finance, and many more, but its concepts, such as superposition, are often misunderstood because engineers may not know the math to understand them. This book will teach the requisite math concepts in an intuitive way and connect them to principles in quantum computing.Starting with the most basic of concepts, 2D vectors that are just line segments in space, you'll move on to tackle matrix multiplication using an instinctive method. Linearity is the major theme throughout the book and since quantum mechanics is a linear theory, you'll see how they go hand in hand. As you advance, you'll understand intrinsically what a vector is and how to transform vectors with matrices and operators. You'll also see how complex numbers make their voices heard and understand the probability behind it all.It’s all here, in writing you can understand. This is not a stuffy math book with definitions, axioms, theorems, and so on. This book meets you where you’re at and guides you to where you need to be for quantum computing. Already know some of this stuff? No problem! The book is componentized, so you can learn just the parts you want. And with tons of exercises and their answers, you'll get all the practice you need.

Configuring Windows Server Hybrid Advanced Services Exam Ref AZ-801. Configure advanced Windows Server services for on-premises, hybrid, and cloud environments

Chris Gill, Shannon Kuehn

Configuring Windows Server Hybrid Advanced Services Exam Ref AZ-801 helps you master various cloud and data center management concepts in detail, helping you grow your expertise in configuring and managing Windows Server in on-premises, hybrid, and cloud-based workloads. Throughout the book, you'll cover all the topics needed to pass the AZ-801 exam and use the skills you acquire to advance in your career.With this book, you’ll learn how to secure your on-premises Windows Server resources and Azure IaaS workloads. First, you’ll explore the potential vulnerabilities of your resources and learn how to fix or mitigate them. Next, you'll implement high availability Windows Server virtual machine workloads with Hyper-V Replica, Windows Server Failover Clustering, and Windows File Server.You’ll implement disaster recovery and server migration of Windows Server in on-premises and hybrid environments. You’ll also learn how to monitor and troubleshoot Windows Server environments.By the end of this book, you'll have gained the knowledge and skills required to ace the AZ-801 exam, and you'll have a handy, on-the-job desktop reference guide.

Building AI Applications with Microsoft Semantic Kernel. Easily integrate generative AI capabilities and copilot experiences into your applications

Lucas A. Meyer

In the fast-paced world of AI, developers are constantly seeking efficient ways to integrate AI capabilities into their apps. Microsoft Semantic Kernel simplifies this process by using the GenAI features from Microsoft and OpenAI.Written by Lucas A. Meyer, a Principal Research Scientist in Microsoft’s AI for Good Lab, this book helps you get hands on with Semantic Kernel. It begins by introducing you to different generative AI services such as GPT-3.5 and GPT-4, demonstrating their integration with Semantic Kernel. You’ll then learn to craft prompt templates for reuse across various AI services and variables. Next, you’ll learn how to add functionality to Semantic Kernel by creating your own plugins. The second part of the book shows you how to combine multiple plugins to execute complex actions, and how to let Semantic Kernel use its own AI to solve complex problems by calling plugins, including the ones made by you. The book concludes by teaching you how to use vector databases to expand the memory of your AI services and how to help AI remember the context of earlier requests. You’ll also be guided through several real-world examples of applications, such as RAG and custom GPT agents.By the end of this book, you'll have gained the knowledge you need to start using Semantic Kernel to add AI capabilities to your applications.

Mastering Data Mining with Python - Find patterns hidden in your data. Find patterns hidden in your data

Megan Squire

Data mining is an integral part of the data science pipeline. It is the foundation of any successful data-driven strategy – without it, you'll never be able to uncover truly transformative insights. Since data is vital to just about every modern organization, it is worth taking the next step to unlock even greater value and more meaningful understanding.If you already know the fundamentals of data mining with Python, you are now ready to experiment with more interesting, advanced data analytics techniques using Python's easy-to-use interface and extensive range of libraries. In this book, you'll go deeper into many often overlooked areas of data mining, including association rule mining, entity matching, network mining, sentiment analysis, named entity recognition, text summarization, topic modeling, and anomaly detection. For each data mining technique, we'll review the state-of-the-art and current best practices before comparing a wide variety of strategies for solving each problem. We will then implement example solutions using real-world data from the domain of software engineering, and we will spend time learning how to understand and interpret the results we get.By the end of this book, you will have solid experience implementing some of the most interesting and relevant data mining techniques available today, and you will have achieved a greater fluency in the important field of Python data analytics.

OpenCV 4 with Python Blueprints. Build creative computer vision projects with the latest version of OpenCV 4 and Python 3 - Second Edition

Dr. Menua Gevorgyan, Arsen Mamikonyan, Michael Beyeler

OpenCV is a native cross-platform C++ library for computer vision, machine learning, and image processing. It is increasingly being adopted in Python for development. This book will get you hands-on with a wide range of intermediate to advanced projects using the latest version of the framework and language, OpenCV 4 and Python 3.8, instead of only covering the core concepts of OpenCV in theoretical lessons. This updated second edition will guide you through working on independent hands-on projects that focus on essential OpenCV concepts such as image processing, object detection, image manipulation, object tracking, and 3D scene reconstruction, in addition to statistical learning and neural networks.You’ll begin with concepts such as image filters, Kinect depth sensor, and feature matching. As you advance, you’ll not only get hands-on with reconstructing and visualizing a scene in 3D but also learn to track visually salient objects. The book will help you further build on your skills by demonstrating how to recognize traffic signs and emotions on faces. Later, you’ll understand how to align images, and detect and track objects using neural networks.By the end of this OpenCV Python book, you’ll have gained hands-on experience and become proficient at developing advanced computer vision apps according to specific business needs.

Machine Learning at Scale with H2O. A practical guide to building and deploying machine learning models on enterprise systems

Gregory Keys, David Whiting

H2O is an open source, fast, and scalable machine learning framework that allows you to build models using big data and then easily productionalize them in diverse enterprise environments.Machine Learning at Scale with H2O begins with an overview of the challenges faced in building machine learning models on large enterprise systems, and then addresses how H2O helps you to overcome them. You’ll start by exploring H2O’s in-memory distributed architecture and find out how it enables you to build highly accurate and explainable models on massive datasets using your favorite ML algorithms, language, and IDE. You’ll also get to grips with the seamless integration of H2O model building and deployment with Spark using H2O Sparkling Water. You’ll then learn how to easily deploy models with H2O MOJO. Next, the book shows you how H2O Enterprise Steam handles admin configurations and user management, and then helps you to identify different stakeholder perspectives that a data scientist must understand in order to succeed in an enterprise setting. Finally, you’ll be introduced to the H2O AI Cloud platform and explore the entire machine learning life cycle using multiple advanced AI capabilities.By the end of this book, you’ll be able to build and deploy advanced, state-of-the-art machine learning models for your business needs.

Symfony 1.3 Web Application Development. Design, develop, and deploy feature-rich, high-performance PHP web applications using the Symfony framework

Tim Bowler, Sensio (Fabien Potencier), Wojciech Bancer

With its flexible architecture, the Symfony framework allows you to build modern web applications and web services easily and rapidly. The MVC components separate the logic from the user interface and therefore make developing, changing, and testing your applications much faster. Using Symfony you can minimize repetitive coding tasks, optimize performance, and easily integrate with other libraries and frameworks.Although this framework contains with many powerful features, most developers do not exploit Symfony to its full potential.This book makes it easy to get started and produce a powerful and professional-looking web site utilizing the many features of Symfony. Taking you through a real-life application, it covers all major Symfony framework features without pushing you into too much theoretical detail, as well as throwing some light on the best practices for rapid application development.This book takes you through detailed examples as well as covering the foundations that you will need to get the most out of the Symfony framework. You will learn to shorten the development time of your complex applications and maintain them with ease. You will create several useful plug-ins and add them to your application and automate common tasks. The book also covers best practices and discussions on security and optimization. You will learn to utilize all major features of this framework by implementing them in your application.By the end, you should have a good understanding of the development features of Symfony (for Propel as well as Doctrine editions), and be able to deploy a high-performance web site quite easily.

Mastering Magento Theme Design. Magento is the super-capable open source e-commerce platform that’s number one for a reason. By using this book to optimize your know-how, you’ll be acquiring the ultimate in e-tail expertise for yourself and your clients

Andrea Sacca

Python Feature Engineering Cookbook. Over 70 recipes for creating, engineering, and transforming features to build machine learning models

Soledad Galli

Feature engineering is invaluable for developing and enriching your machine learning models. In this cookbook, you will work with the best tools to streamline your feature engineering pipelines and techniques and simplify and improve the quality of your code.Using Python libraries such as pandas, scikit-learn, Featuretools, and Feature-engine, you’ll learn how to work with both continuous and discrete datasets and be able to transform features from unstructured datasets. You will develop the skills necessary to select the best features as well as the most suitable extraction techniques. This book will cover Python recipes that will help you automate feature engineering to simplify complex processes. You’ll also get to grips with different feature engineering strategies, such as the box-cox transform, power transform, and log transform across machine learning, reinforcement learning, and natural language processing (NLP) domains.By the end of this book, you’ll have discovered tips and practical solutions to all of your feature engineering problems.

Modern CMake for C++. Discover a better approach to building, testing, and packaging your software

Rafał Świdziński

Creating top-notch software is an extremely difficult undertaking. Developers researching the subject have difficulty determining which advice is up to date and which approaches have already been replaced by easier, better practices. At the same time, most online resources offer limited explanation, while also lacking the proper context and structure.This book offers a simpler, more comprehensive, experience as it treats the subject of building C++ solutions holistically. Modern CMake for C++ is an end-to-end guide to the automatization of complex tasks, including building, testing, and packaging. You'll not only learn how to use the CMake language in CMake projects, but also discover what makes them maintainable, elegant, and clean. The book also focuses on the structure of source directories, building targets, and packages. As you progress, you’ll learn how to compile and link executables and libraries, how those processes work, and how to optimize builds in CMake for the best results. You'll understand how to use external dependencies in your project – third-party libraries, testing frameworks, program analysis tools, and documentation generators. Finally, you'll get to grips with exporting, installing, and packaging for internal and external purposes.By the end of this book, you’ll be able to use CMake confidently on a professional level.

Optimizing Microsoft Azure Workloads. Leverage the Well-Architected Framework to boost performance, scalability, and cost efficiency

Rithin Skaria, Jatinder Pal Singh

It’s easy to learn and deploy resources in Microsoft Azure, without worrying about resource optimization. However, for production or mission critical workloads, it’s crucial that you follow best practices for resource deployment to attain security, reliability, operational excellence and performance. Apart from these aspects, you need to account for cost considerations, as it’s the leading reason for almost every organization’s cloud transformation.In this book, you’ll learn to leverage Microsoft Well-Architected Framework to optimize your workloads in Azure. This Framework is a set of recommended practices developed by Microsoft based on five aligned pillars; cost optimization, performance, reliability, operational excellence, and security. You’ll explore each of these pillars and discover how to perform an assessment to determine the quality of your existing workloads. Through the book, you’ll uncover different design patterns and procedures related to each of the Well-Architected Framework pillars.By the end of this book, you’ll be well-equipped to collect and assess data from an Azure environment and perform the necessary upturn of your Azure workloads.

Learning AirWatch. Learn to implement, manage, and deploy the latest Enterprise Mobility Management (EMM) platform offered by AirWatch

Mark Dunkerley, Mark Dunkerley