Getting Started with Python for the Internet of Things. Leverage the full potential of Python to prototype and build IoT projects using the Raspberry Pi

Tim Cox, Steven Lawrence Fernandes, Sai Yamanoor, Srihari Yamanoor, ...

This Learning Path takes you on a journey in the world of robotics and teaches you all that you can achieve with Raspberry Pi and Python.It teaches you to harness the power of Python with the Raspberry Pi 3 and the Raspberry Pi zero to build superlative automation systems that can transform your business. You will learn to create text classifiers, predict sentiment in words, and develop applications with the Tkinter library. Things will get more interesting when you build a human face detection and recognition system and a home automation system in Python, where different appliances are controlled using the Raspberry Pi. With such diverse robotics projects, you'll grasp the basics of robotics and its functions, and understand the integration of robotics with the IoT environment.By the end of this Learning Path, you will have covered everything from configuring a robotic controller, to creating a self-driven robotic vehicle using Python.• Raspberry Pi 3 Cookbook for Python Programmers - Third Edition by Tim Cox, Dr. Steven Lawrence Fernandes• Python Programming with Raspberry Pi by Sai Yamanoor, Srihari Yamanoor• Python Robotics Projects by Prof. Diwakar Vaish

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.

Learning NServiceBus Sagas. Discover how to design, build, and test sagas and messaging with NServiceBus

Richard L Helton

Interpretable Machine Learning with Python. Learn to build interpretable high-performance models with hands-on real-world examples

Serg Masís

Do you want to gain a deeper understanding of your models and better mitigate poor prediction risks associated with machine learning interpretation? If so, then Interpretable Machine Learning with Python deserves a place on your bookshelf.We’ll be starting off with the fundamentals of interpretability, its relevance in business, and exploring its key aspects and challenges. As you progress through the chapters, you'll then focus on how white-box models work, compare them to black-box and glass-box models, and examine their trade-off. You’ll also get you up to speed with a vast array of interpretation methods, also known as Explainable AI (XAI) methods, and how to apply them to different use cases, be it for classification or regression, for tabular, time-series, image or text. In addition to the step-by-step code, this book will also help you interpret model outcomes using examples. You’ll get hands-on with tuning models and training data for interpretability by reducing complexity, mitigating bias, placing guardrails, and enhancing reliability. The methods you’ll explore here range from state-of-the-art feature selection and dataset debiasing methods to monotonic constraints and adversarial retraining.By the end of this book, you'll be able to understand ML models better and enhance them through interpretability tuning.

Mastering Splunk. Optimize your machine-generated data effectively by developing advanced analytics with Splunk

James D. Miller

Microsoft System Center 2012 R2 Operations Manager Cookbook. Learn how to deploy, configure, and maintain System Center Operations Manager with 50 recipes designed to help you meet the challenges of managing a complex IT system

Steve Beaumont, David Allen, Robert Ryan, Jonathan Horner, ...

Unity UI Cookbook. Over 60 recipes to help you create professional and exquisite UIs to make your games more immersive

Francesco Sapio

With the increasing interest in game development, it's essential to design and implement a UI that reflects the game settings and shows the right information to the player. The Unity system is used to create complex and aesthetically pleasing user interfaces in order to give a professional look and feel to a game. Although the new Unity UI system is powerful and quite easy to use, by integrating it with C# scripts, it's possible to realize the potential of this system and bring an impressive UI to games.This guide is an invaluable collection of recipes if you are planning to use Unity to develop a game. Starting with the basic concepts of the UI components, we’ll take you all the way through to creating complex interfaces by including animations and dynamics elements.Based on real-world problems, these recipes will start by showing you how to make common UI elements such as counters and healthbars. You will then get a walkthrough of how to manage time using timers, and will learn how to format them. You will move on to decorating and animating the UI elements to vivify them and give them a professional touch. Furthermore, you will be guided into the 3D UI world and into HUD scripting. Finally, you will discover how to implement complex minimaps in the interface.

Instant Fancybox. Enhance the look of your web pages using the lightweight and highly customizable jQuery plugin Fancybox

Kyle Diedrick

Fancybox is a lightweight, highly customizable jQuery plugin for displaying modal dialogs. Fancybox is incredibly versatile; it works with all sorts of different content including images, videos, iFrames, custom HTML, and even SWF files. Fancybox is also very easy to customize, making it a great tool for any pop-up-like feature.Instant Fancybox is a hands-on guide which shows you how to use and customize the Fancybox plugin. The book provides step-by-step tutorials covering everything from simple installation to complex settings and features. This makes it a great way to get familiar with and ultimately master the Fancybox plugin.This book walks you through how to get the most out of the Fancybox plugin for jQuery, starting with the installation of the plugin and how to work with the JavaScript events that Fancybox triggers.You will learn everything you need to know about setting up Fancybox to show images, image galleries and slideshows, videos, and other content. You will also learn about the settings available within Fancybox and how to leverage them to make the Fancybox popup do exciting things. The Fancybox plugin has much to offer, and this book covers all of the features it provides. This book will provide you with all the information you will need to use the Fancybox plugin effectively.