Machine Learning for Cybersecurity Cookbook. Over 80 recipes on how to implement machine learning algorithms for building security systems using Python

Emmanuel Tsukerman

Organizations today face a major threat in terms of cybersecurity, from malicious URLs to credential reuse, and having robust security systems can make all the difference. With this book, you'll learn how to use Python libraries such as TensorFlow and scikit-learn to implement the latest artificial intelligence (AI) techniques and handle challenges faced by cybersecurity researchers.You'll begin by exploring various machine learning (ML) techniques and tips for setting up a secure lab environment. Next, you'll implement key ML algorithms such as clustering, gradient boosting, random forest, and XGBoost. The book will guide you through constructing classifiers and features for malware, which you'll train and test on real samples. As you progress, you'll build self-learning, reliant systems to handle cybersecurity tasks such as identifying malicious URLs, spam email detection, intrusion detection, network protection, and tracking user and process behavior. Later, you'll apply generative adversarial networks (GANs) and autoencoders to advanced security tasks. Finally, you'll delve into secure and private AI to protect the privacy rights of consumers using your ML models. By the end of this book, you'll have the skills you need to tackle real-world problems faced in the cybersecurity domain using a recipe-based approach.

Using Stable Diffusion with Python. Leverage Python to control and automate high-quality AI image generation using Stable Diffusion

Andrew Zhu (Shudong Zhu), Matthew Fisher

Stable Diffusion is a game-changing AI tool that enables you to create stunning images with code. The author, a seasoned Microsoft applied data scientist and contributor to the Hugging Face Diffusers library, leverages his 15+ years of experience to help you master Stable Diffusion by understanding the underlying concepts and techniques.You’ll be introduced to Stable Diffusion, grasp the theory behind diffusion models, set up your environment, and generate your first image using diffusers. You'll optimize performance, leverage custom models, and integrate community-shared resources like LoRAs, textual inversion, and ControlNet to enhance your creations. Covering techniques such as face restoration, image upscaling, and image restoration, you’ll focus on unlocking prompt limitations, scheduled prompt parsing, and weighted prompts to create a fully customized and industry-level Stable Diffusion app. This book also looks into real-world applications in medical imaging, remote sensing, and photo enhancement. Finally, you'll gain insights into extracting generation data, ensuring data persistence, and leveraging AI models like BLIP for image description extraction.By the end of this book, you'll be able to use Python to generate and edit images and leverage solutions to build Stable Diffusion apps for your business and users.

MuleSoft for Salesforce Developers. A practitioner's guide to deploying MuleSoft APIs and integrations for Salesforce enterprise solutions

Arul Christhuraj Alphonse, Alexandra Martinez, Akshata Sawant

MuleSoft for Salesforce Developers will help you build state-of-the-art enterprise solutions with flexible and scalable integration capabilities using MuleSoft’s Anypoint Platform and Anypoint Studio. If you’re a Salesforce developer looking to get started with this useful tool, look no further. This book will get you up to speed in no time, leveling up your integration developer skills.This essential guide will first introduce you to the fundamentals of MuleSoft and API-led connectivity, before walking you through the API life cycle and the Anypoint Studio IDE. Once you have the IDE set up, you’ll be ready to create Mule applications. You’ll look at the core components of MuleSoft and Anypoint Platform, and before long you’ll know how to build, transform, secure, test, and deploy applications using the wide range of components available to you. Finally, you’ll learn about using connectors to integrate MuleSoft with Salesforce and to fulfill a number of use cases, which will be covered in depth, along with interview and certification tips.By the end of this book, you will be confident building MuleSoft integrations at an enterprise scale and be able to gain the fundamental MuleSoft certification – MCD.

Drupal 10 Development Cookbook. Practical recipes to harness the power of Drupal for building digital experiences and dynamic websites - Third Edition

Matt Glaman, Kevin Quillen

This new and improved third edition cookbook is packed with the latest Drupal 10 features such as a new, flexible default frontend theme - Olivero, and improved administrative experience with a new theme - Claro. This comprehensive recipe book provides updated content on the WYSIWYG (What You See Is What You Get) editing experience, improved core code performance, and code cleanup.Drupal 10 Development Cookbook begins by helping you create and manage a Drupal site. Next, you’ll get acquainted with configuring the content structure and editing content. You’ll also get to grips with all new updates of this edition, such as creating custom pages, accessing and working with entities, running and writing tests with Drupal, migrating external data into Drupal, and turning Drupal into an API platform. As you advance, you’ll learn how to customize Drupal’s features with out-of-the-box modules, contribute extensions, and write custom code to extend Drupal.By the end of this book, you’ll be able to create and manage Drupal sites, customize them to your requirements, and build custom code to deliver your projects.

Hands-On Vision and Behavior for Self-Driving Cars. Explore visual perception, lane detection, and object classification with Python 3 and OpenCV 4

Luca Venturi, Krishtof Korda

The visual perception capabilities of a self-driving car are powered by computer vision. The work relating to self-driving cars can be broadly classified into three components - robotics, computer vision, and machine learning. This book provides existing computer vision engineers and developers with the unique opportunity to be associated with this booming field.You will learn about computer vision, deep learning, and depth perception applied to driverless cars. The book provides a structured and thorough introduction, as making a real self-driving car is a huge cross-functional effort. As you progress, you will cover relevant cases with working code, before going on to understand how to use OpenCV, TensorFlow and Keras to analyze video streaming from car cameras. Later, you will learn how to interpret and make the most of lidars (light detection and ranging) to identify obstacles and localize your position. You’ll even be able to tackle core challenges in self-driving cars such as finding lanes, detecting pedestrian and crossing lights, performing semantic segmentation, and writing a PID controller.By the end of this book, you’ll be equipped with the skills you need to write code for a self-driving car running in a driverless car simulator, and be able to tackle various challenges faced by autonomous car engineers.

Learning NServiceBus. Build reliable and scalable distributed software systems using the industry leading .NET Enterprise Service Bus

David Boike

Implementing Event-Driven Microservices Architecture in .NET 7. Develop event-based distributed apps that can scale with ever-changing business demands using C# 11 and .NET 7

Donovan Brown, Joshua Garverick, Omar Dean McIver

This book will guide you through various hands-on practical examples for implementing event-driven microservices architecture using C# 11 and .NET 7. It has been divided into three distinct sections, each focusing on different aspects of this implementation.The first section will cover the new features of .NET 7 that will make developing applications using EDA patterns easier, the sample application that will be used throughout the book, and how the core tenets of domain-driven design (DDD) are implemented in .NET 7.The second section will review the various components of a local environment setup, the containerization of code, testing, deployment, and the observability of microservices using an EDA approach.The third section will guide you through the need for scalability and service resilience within the application, along with implementation details related to elastic and autoscale components. You’ll also cover how proper telemetry helps to automatically drive scaling events. In addition, the topic of observability is revisited using examples of service discovery and microservice inventories.By the end of this book, you’ll be able to identify and catalog domains, events, and bounded contexts to be used for the design and development of a resilient microservices architecture.

Microsoft Windows Azure Development Cookbook. Realize the full potential of Windows Azure with this superb Cookbook that has over 80 recipes for building advanced, scalable cloud-based services. Simply pick the solutions you need to answer your requirements immediately

Neil Mackenzie

The Windows Azure platform is Microsoft's Platform-as-a-Service environment for hosting services and data in the cloud. It provides developers with on-demand computing, storage, and service connectivity capabilities that facilitate the hosting of highly scalable services in Windows Azure datacenters across the globe.This practical cookbook will show you advanced development techniques for building highly scalable cloud-based services using the Windows Azure platform. It contains over 80 practical, task-based, and immediately usable recipes covering a wide range of advanced development techniques for building highly scalable services to solve particular problems/scenarios when developing these services on the Windows Azure platform.Packed with reusable, real-world recipes, the book starts by explaining the various access control mechanisms used in the Windows Azure platform. Next you will see the advanced features of Windows Azure Blob storage, Windows Azure Table storage, and Windows Azure Queues. The book then dives deep into topics such as developing Windows Azure hosted services, using Windows Azure Diagnostics, managing hosted services with the Service Management API, using SQL Azure and the Windows Azure AppFabric Service Bus. You will see how to use several of the latest features such as VM roles, Windows Azure Connect, startup tasks, and the Windows Azure AppFabric Caching Service.