Hack the Cybersecurity Interview. A complete interview preparation guide for jumpstarting your cybersecurity career

Kenneth Underhill, Christophe Foulon, Tia Hopkins, Mari Galloway

This audiobook is a comprehensive guide that helps both entry-level and experienced cybersecurity professionals prepare for interviews in a wide variety of career areas.Complete with the authors’ answers to different cybersecurity interview questions, this easy-to-follow and actionable audiobook will help you get ready and be confident. You’ll learn how to prepare and form a winning strategy for job interviews. In addition to this, you’ll also understand the most common technical and behavioral interview questions, learning from real cybersecurity professionals and executives with years of industry experience.By the end of this audiobook, you’ll be able to apply the knowledge you've gained to confidently pass your next job interview and achieve success on your cybersecurity career path.

Learning PHP 7 High Performance. Click here to enter text

Iltaf (Altaf) Hussain Gul

PHP is a great language for building web applications.It is essentially a server-side scripting language that is alsoused for general-purpose programming. PHP 7 is the latestversion, providing major backward-compatibility breaks andfocusing on high performance and speed.This fast-paced introduction to PHP 7 will improve yourproductivity and coding skills. The concepts covered willallow you, as a PHP programmer, to improve the performancestandards of your applications. We will introduce you tothe new features in PHP 7 and then will run through theconcepts of object-oriented programming (OOP) inPHP 7. Next, we will shed some light on how to improveyour PHP 7 applications' performance and databaseperformance. Through this book, you will be able to improvethe performance of your programs using the variousbenchmarking tools discussed.At the end, the book discusses some best practices in PHPprogramming to help you improve the quality of your code.

OpenLayers 2.10 Beginner's Guide. Create, optimize, and deploy stunning cross-browser web maps with the OpenLayers JavaScript web mapping library

Erik Hazzard, OpenLayers Project Paypal info@osgeo.org

Learn WinUI 3. Leverage WinUI and the Windows App SDK to create modern Windows applications with C# and XAML - Second Edition

Alvin Ashcraft

WinUI 3 takes a whole new approach to delivering Windows UI components and controls and has the ability to deliver the same features across multiple versions of Windows. Learn WinUI 3 is a comprehensive introduction to WinUI and Windows apps for anyone who is new to WinUI and XAML applications.This updated second edition begins by helping you get to grips with the latest features in WinUI and shows you how XAML is used in UI development. The next set of chapters will help you set up a new Visual Studio environment, develop a new desktop project, incorporate the Model-View-ViewModel (MVVM) pattern in a WinUI project, and develop unit tests for ViewModel commands. Next, you’ll cover the basics of data access from WinUI projects with a step-by-step approach. As you advance, you’ll discover how to leverage the Fluent Design System to design beautiful WinUI applications. You’ll also explore the contents and capabilities of the Windows Community Toolkit and learn how to create cross-platform apps with markup and code from your project using Uno Platform. The concluding chapters will teach you how to build, debug, and deploy apps to the Microsoft Store.By the end of this book, you’ll have learned how to build WinUI applications from scratch and how to modernize existing desktop apps using WinUI 3 and the Windows App SDK.

Learning Vulkan. Get introduced to the next generation graphics API—Vulkan

Parminder Singh

Vulkan, the next generation graphics and compute API, is the latest offering by Khronos. This API is the successor of OpenGL and unlike OpenGL, it offers great flexibility and high performance capabilities to control modern GPU devices. With this book, you'll get great insights into the workings of Vulkan and how you can make stunning graphics run with minimum hardware requirements.We begin with a brief introduction to the Vulkan system and show you its distinct features with the successor to the OpenGL API. First, you will see how to establish a connection with hardware devices to query the available queues, memory types, and capabilities offered. Vulkan is verbose, so before diving deep into programing, you’ll get to grips with debugging techniques so even first-timers can overcome error traps using Vulkan’s layer and extension features. You’ll get a grip on command buffers and acquire the knowledge to record various operation commands into command buffer and submit it to a proper queue for GPU processing. We’ll take a detailed look at memory management and demonstrate the use of buffer and image resources to create drawing textures and image views for the presentation engine and vertex buffers to store geometry information.You'll get a brief overview of SPIR-V, the new way to manage shaders, and you'll define the drawing operations as a single unit of work in the Render pass with the help of attachments and subpasses. You'll also create frame buffers and build a solid graphics pipeline, as well as making use of the synchronizing mechanism to manage GPU and CPU hand-shaking.By the end, you’ll know everything you need to know to get your hands dirty with the coolest Graphics API on the block.

Machine Learning for Time-Series with Python. Use Python to forecast, predict, and detect anomalies with state-of-the-art machine learning methods - Second Edition

Ben Auffarth

The Python time-series ecosystem is a huge and challenging topic to tackle, especially for time series since there are so many new libraries and models. Machine Learning for Time Series, Second Edition, aims to deepen your understanding of time series by providing a comprehensive overview of popular Python time-series packages and helping you build better predictive systems.This fully updated second edition starts by re-introducing the basics of time series and then helps you get to grips with traditional autoregressive models as well as modern non-parametric models. By observing practical examples and the theory behind them, you will gain a deeper understanding of loading time-series datasets from any source and a variety of models, such as deep learning recurrent neural networks, causal convolutional network models, and gradient boosting with feature engineering. This book will also help you choose the right model for the right problem by explaining the theory behind several useful models. New updates include a chapter on forecasting and extracting signals on financial markets and case studies with relevant examples from operations management, digital marketing, and healthcare.By the end of this book, you should feel at home with effectively analyzing and applying machine learning methods to time series.

Architecting Cloud Native Applications. Design high-performing and cost-effective applications for the cloud

Kamal Arora, Erik Farr, John Gilbert, Piyum Zonooz

Cloud computing has proven to be the most revolutionary IT development since virtualization. Cloud native architectures give you the benefit of more flexibility over legacy systems.This Learning Path teaches you everything you need to know for designing industry-grade cloud applications and efficiently migrating your business to the cloud. It begins by exploring the basic patterns that turn your database inside out to achieve massive scalability. You’ll learn how to develop cloud native architectures using microservices and serverless computing as your design principles. Then, you’ll explore ways to continuously deliver production code by implementing continuous observability in production. In the concluding chapters, you’ll learn about various public cloud architectures ranging from AWS and Azure to the Google Cloud Platform, and understand the future trends and expectations of cloud providers.By the end of this Learning Path, you’ll have learned the techniques to adopt cloud native architectures that meet your business requirements. This Learning Path includes content from the following Packt products:• Cloud Native Development Patterns and Best Practices by John Gilbert• Cloud Native Architectures by Erik Farr et al.

Digital Forensics with Kali Linux. Perform data acquisition, digital investigation, and threat analysis using Kali Linux tools

Shiva V. N. Parasram

Kali Linux is a Linux-based distribution used mainly for penetration testing and digital forensics. It has a wide range of tools to help in forensics investigations and incident response mechanisms. You will start by understanding the fundamentals of digital forensics and setting up your Kali Linux environment to perform different investigation practices. The book will delve into the realm of operating systems and the various formats for file storage, including secret hiding places unseen by the end user or even the operating system. The book will also teach you to create forensic images of data and maintain integrity using hashing tools. Next, you will also master some advanced topics such as autopsies and acquiring investigation data from the network, operating system memory, and so on. The book introduces you to powerful tools that will take your forensic abilities and investigations to a professional level, catering for all aspects of full digital forensic investigations from hashing to reporting. By the end of this book, you will have had hands-on experience in implementing all the pillars of digital forensics—acquisition, extraction, analysis, and presentation using Kali Linux tools.