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Podcasts
Chad Maurice, Jeremy Thompson, William Copeland, Anthony Particini
Threat hunting is a concept that takes traditional cyber defense and spins it onto its head. It moves the bar for network defenses beyond looking at the known threats and allows a team to pursue adversaries that are attacking in novel ways that have not previously been seen. To successfully track down and remove these advanced attackers, a solid understanding of the foundational concepts and requirements of the threat hunting framework is needed. Moreover, to confidently employ threat hunting in a business landscape, the same team will need to be able to customize that framework to fit a customer’s particular use case.This book breaks down the fundamental pieces of a threat hunting team, the stages of a hunt, and the process that needs to be followed through planning, execution, and recovery. It will take you through the process of threat hunting, starting from understanding cybersecurity basics through to the in-depth requirements of building a mature hunting capability. This is provided through written instructions as well as multiple story-driven scenarios that show the correct (and incorrect) way to effectively conduct a threat hunt.By the end of this cyber threat hunting book, you’ll be able to identify the processes of handicapping an immature cyber threat hunt team and systematically progress the hunting capabilities to maturity.
Sharing code between platforms can help developers gain a competitive edge, and Kotlin Multiplatform Mobile (KMM) offers a sensible way to do it. KMM helps mobile teams share code between Android and iOS in a flexible way, leaving room for native development.The book begins by helping you to gain a clear understanding of the Kotlin Multiplatform approach, how it works, and how it is different from cross-platform technologies, such as React Native and Flutter, and code sharing options, such as C++. You'll then see how your team can use this software development kit (SDK) to build native applications more effectively by learning timeless concepts and working through practical examples. As you advance, you'll get to grips with the core concepts, understand why UI sharing fails, and get hands-on with developing a small KMM application. Finally, you'll discover expert tips and best practices, along with production- and adoption-related questions, that will help you take the next step in your project and career.By the end of this Kotlin book, you'll have gained a solid understanding of the capabilities of KMM and be able to share code between Android and iOS flexibly.
Produce impressive, high-quality pictures to influence your audience, grow your brand, and market your products and services.With its impressive range of sophisticated creative capabilities, Adobe Photoshop Elements 2023 is all you need to create photos you’ll love to share. Elements 2023 extends its AI capabilities by simplifying complex editing processes. Learn to stitch widescreen panoramas, remove people from backgrounds, de-focus backgrounds, re-compose images, and even create a range of calendars and greeting cards for your friends and family.The fifth edition of this widely acclaimed series will help you master photo-editing from scratch. Start by learning basic edits such as auto tone correction, image resizing and cropping, then master contrast, color, sharpness, and clarity.Take your prowess to the next level by learning how to correct optical distortion, re-shape images, exploit layers, layer masking, and sharpening techniques—create the perfect picture or imaginative fantasy illustration. You’ll also learn the online realms of animation, video creation, and third-party plug-ins.By the end of this book, you'll learn how to leverage the incredible features of Photoshop Elements 2023 with complete confidence.Note: All the images featured in the book can be easily downloaded via a direct link or from the GitHub repository link specified in the Preface.
Aldrin Yim, Claire Chung, Allen Yu
Python is a general-purpose programming language increasingly being used for data analysis and visualization. Matplotlib is a popular data visualization package in Python used to design effective plots and graphs. This is a practical, hands-on resource to help you visualize data with Python using the Matplotlib library. Matplotlib for Python Developers, Second Edition shows you how to create attractive graphs, charts, and plots using Matplotlib. You will also get a quick introduction to third-party packages, Seaborn, Pandas, Basemap, and Geopandas, and learn how to use them with Matplotlib. After that, you’ll embed and customize your plots in third-party tools such as GTK+3, Qt 5, and wxWidgets. You’ll also be able to tweak the look and feel of your visualization with the help of practical examples provided in this book. Further on, you’ll explore Matplotlib 2.1.x on the web, from a cloud-based platform using third-party packages such as Django. Finally, you will integrate interactive, real-time visualization techniques into your current workflow with the help of practical real-world examples.By the end of this book, you’ll be thoroughly comfortable with using the popular Python data visualization library Matplotlib 2.1.x and leveraging its power to build attractive, insightful, and powerful visualizations.
This book will follow a recipe-based approach and start off with an introduction to the fundamentals of PowerShell, and explaining how to install and run it through simple examples. Next, you will learn how to use PowerShell to access and manipulate data and how to work with different streams as well. You will also explore the object model which will help with regard to PowerShell function deployment. Going forward, you will get familiar with the pipeline in its different use cases. The next set of chapters will deal with the different ways of accessing data in PowerShell. You will also learn to automate various tasks in Windows and Linux using PowerShell Core, as well as explore Windows Server. Later, you will be introduced to Remoting in PowerShell Core and Just Enough Administration concept. The last set of chapters will help you understand the management of a private and public cloud with PowerShell Core. You will also learn how to access web services and explore the high-performance scripting methods.By the end of this book, you will gain the skills to manage complex tasks effectively along with increasing the performance of your environment.
JavaFX Script enables you to easily create rich Internet applications by embedding multimedia components. Although you can create stylish Internet applications by modifying these default components, even advanced users find it challenging to create impressive feature-rich Internet applications with JavaFX. Also, there are limited JavaFX components to work with and by default these components don't look visually appealing.This book explores limitless possibilities to style your application by coding JavaFX components to display your content in a more appealing fashion. The recipes in this book will help you to create customized JavaFX components with which you can make modern, feature-rich applications.First, you will be introduced to the JavaFX SDK and other development tools available to help you be productive during development. You will create an application in JavaFX by arranging complex graphical components (and non-graphical libraries) with simplified declarative constructs. You will then explore the fun side of JavaFX by using transformation techniques to manipulate the location and dimensions of objects. The next chapter is about the GUI components that are available in the framework, which provide a high level of interactivity. You will learn how to use the media component to play media content. Then we will access data and manipulate data locally or remotely. You will explore many deployment options and integration tips and tricks to take advantage of runtime contexts. Finally, you will interact with pure Java code to read and write files in JavaFX and to establish interactions with computing platforms.
Social Media and the Internet of Things have resulted in an avalanche of data. Data is powerful but not in its raw form; it needs to be processed and modeled, and Python is one of the most robust tools out there to do so. It has an array of packages for predictive modeling and a suite of IDEs to choose from. Using the Python programming language, analysts can use these sophisticated methods to build scalable analytic applications. This book is your guide to getting started with predictive analytics using Python.You'll balance both statistical and mathematical concepts, and implement them in Python using libraries such as pandas, scikit-learn, and NumPy. Through case studies and code examples using popular open-source Python libraries, this book illustrates the complete development process for analytic applications. Covering a wide range of algorithms for classification, regression, clustering, as well as cutting-edge techniques such as deep learning, this book illustrates explains how these methods work. You will learn to choose the right approach for your problem and how to develop engaging visualizations to bring to life the insights of predictive modeling.Finally, you will learn best practices in predictive modeling, as well as the different applications of predictive modeling in the modern world. The course provides you with highly practical content from the following Packt books:1. Learning Predictive Analytics with Python2. Mastering Predictive Analytics with Python