Mastering MariaDB. Debug, secure, and back up your data for optimum server performance with MariaDB

Federico Razzoli

Unity Character Animation with Mecanim. A detailed guide to the complex new animation tools in Unity, packed with clear instructions and illustrated with original content in the context of a next generation zombie apocalypse adventure game

Jamie Dean

Game animation for independent developers has taken a giant leap forward with Unity 5's Mecanim toolset, which streamlines the import/export, retargeting, and many other aspects of the character animation workflow. Unity Character Animation with Mecanim is a great primer for getting to know the nuts and bolts of Mecanim and other character animation related tools in Unity 5. It offers you step-by-step instructions for preparing and exporting rigged models and animation sequences from commonly used 3D packages, such as Maya, 3ds Max and Blender.This book explores the new set of animation tools introduced with Mecanim in Unity 5. Approaching its subject matter through a typical genre–a zombie action game, character animation techniques are explored using real examples of player input and interaction, enemy behavior, and other aspects of game dynamics. As the book progresses, the reader will understand how these elements fit together in a small game development workflow.We will begin with a demonstration of the process of getting a rigged character into Unity 5 and setting it up to use provided animation sequences. We will also consider a few industry standard 3D packages and how these can be used to rig a humanoid character for use in Unity 5. We will demonstrate the retargeting capabilities of Mecanim’s Humanoid Animation type by adjusting motion sequences to fit disparate character types in our game. After this, we will look at Ragdoll physics and the implementation of this commonly used technique in a Mecanim workflow. The book culminates with a thorough dissection of the enemy character AI script incorporating the Mecanim elements detailed in the previous chapters.Unity Character Animation with Mecanim will provide you with a detailed exploration of the interaction between game development and character animation, and will broaden your understanding of the rich animation toolset within Unity 5

Learning Proxmox VE. Unleash the power of Proxmox VE by setting up a dedicated virtual environment to serve both containers and virtual machines

CHENG MAN, Rik Goldman, Ken Hess

Proxmox VE 4.1 provides an open source, enterprise virtualization platform on which to host virtual servers as either virtual machines or containers.This book will support your practice of the requisite skills to successfully create, tailor, and deploy virtual machines and containers with Proxmox VE 4.1. Following a survey of PVE's features and characteristics,this book will contrast containers with virtual machines and establish cases for both. It walks through the installation of Proxmox VE, explores the creation of containers and virtual machines, and suggests best practices for virtual disk creation, network configuration, and Proxmox VE host and guest security.Throughout the book, you will navigate the Proxmox VE 4.1 web interface and explore options for command-linemanagement

What's New in TensorFlow 2.0. Use the new and improved features of TensorFlow to enhance machine learning and deep learning

Ajay Baranwal, Alizishaan Khatri, Tanish Baranwal

TensorFlow is an end-to-end machine learning platform for experts as well as beginners, and its new version, TensorFlow 2.0 (TF 2.0), improves its simplicity and ease of use. This book will help you understand and utilize the latest TensorFlow features.What's New in TensorFlow 2.0 starts by focusing on advanced concepts such as the new TensorFlow Keras APIs, eager execution, and efficient distribution strategies that help you to run your machine learning models on multiple GPUs and TPUs. The book then takes you through the process of building data ingestion and training pipelines, and it provides recommendations and best practices for feeding data to models created using the new tf.keras API. You'll explore the process of building an inference pipeline using TF Serving and other multi-platform deployments before moving on to explore the newly released AIY, which is essentially do-it-yourself AI. This book delves into the core APIs to help you build unified convolutional and recurrent layers and use TensorBoard to visualize deep learning models using what-if analysis.By the end of the book, you'll have learned about compatibility between TF 2.0 and TF 1.x and be able to migrate to TF 2.0 smoothly.

Mastering Responsive Web Design. Push your HTML and CSS skills to the limit and build professional grade, responsive websites

Ricardo Zea

Building powerful and accessible websites and apps using HTML5 and CSS3 is a must if we want to create memorable experiences for our users. In the ever-changing world of web design and development, being proficient in responsive web design is no longer an option: it is mandatory.Each chapter will take you one step closer to becoming an expert in RWD. Right from the start your skills will be pushed as we introduce you to the power of Sass, the CSS preprocessor, to increase the speed of writing repetitive CSS tasks. We’ll then use simple but meaningful HTML examples, and add ARIA roles to increase accessibility. We’ll also cover when desktop-first or mobile-first approaches are ideal, and strategies to implement a mobile-first approach in your HTML builds.After this we will learn how to use an easily scalable CSS grid or, if you prefer, how to use Flexbox instead. We also cover how to implement images and video in both responsive and responsible ways. Finally, we build a solid and elegant typographic scale, and make sure your messages and communications display correctly with responsive emails.

Applied Machine Learning and High-Performance Computing on AWS. Accelerate the development of machine learning applications following architectural best practices

Mani Khanuja, Farooq Sabir, Shreyas Subramanian, Trenton Potgieter

Machine learning (ML) and high-performance computing (HPC) on AWS run compute-intensive workloads across industries and emerging applications. Its use cases can be linked to various verticals, such as computational fluid dynamics (CFD), genomics, and autonomous vehicles.This book provides end-to-end guidance, starting with HPC concepts for storage and networking. It then progresses to working examples on how to process large datasets using SageMaker Studio and EMR. Next, you’ll learn how to build, train, and deploy large models using distributed training. Later chapters also guide you through deploying models to edge devices using SageMaker and IoT Greengrass, and performance optimization of ML models, for low latency use cases.By the end of this book, you’ll be able to build, train, and deploy your own large-scale ML application, using HPC on AWS, following industry best practices and addressing the key pain points encountered in the application life cycle.

Embedded Linux Development Using Yocto Project. Leverage the power of the Yocto Project to build efficient Linux-based products - Third Edition

Otavio Salvador, Daiane Angolini

The Yocto Project is the industry standard for developing dependable embedded Linux projects. It stands out from other frameworks by offering time-efficient development with enhanced reliability and robustness.With Embedded Linux Development Using Yocto Project, you’ll acquire an understanding of Yocto Project tools, helping you perform different Linux-based tasks. You’ll gain a deep understanding of Poky and BitBake, explore practical use cases for building a Linux subsystem project, employ Yocto Project tools available for embedded Linux, and uncover the secrets of SDK, recipe tool, and others. This new edition is aligned with the latest long-term support release of the aforementioned technologies and introduces two new chapters, covering optimal emulation in QEMU for faster product development and best practices.By the end of this book, you’ll be well-equipped to generate and run an image for real hardware boards. You’ll gain hands-on experience in building efficient Linux systems using the Yocto Project.

Smart Internet of Things Projects. Click here to enter text

Agus Kurniawan

Internet of Things (IoT) is a groundbreaking technology that involves connecting numerous physical devices to the Internet and controlling them. Creating basic IoT projects is common, but imagine building smart IoT projects that can extract data from physical devices, thereby making decisions by themselves. Our book overcomes the challenge of analyzing data from physical devices and accomplishes all that your imagination can dream up by teaching you how to build smart IoT projects. Basic statistics and various applied algorithms in data science and machine learning are introduced to accelerate your knowledge of how to integrate a decision system into a physical device. This book contains IoT projects such as building a smart temperature controller, creating your own vision machine project, building an autonomous mobile robot car, controlling IoT projects through voice commands, building IoT applications utilizing cloud technology and data science, and many more. We will also leverage a small yet powerful IoT chip, Raspberry Pi with Arduino, in order to integrate a smart decision-making system in the IoT projects.