Unreal Engine Game Development Blueprints. Discover all the secrets of Unreal Engine and create seven fully functional games with the help of step-by-step instructions

Nicola Valcasara

With the arrival of Unreal Engine 4, a new wonderful tool was born: Blueprint. This visual scripting tool allows even non-programmers to develop the logic for their games, allowing almost anyone to create entire games without the need to write a single line of code. The range of features you can access with Blueprint script is pretty extensive, making it one of the foremost choices for many game developers.Unreal Engine Game Development Blueprints helps you unleash the real power of Unreal by helping you to create engaging and spectacular games. It will explain all the aspects of developing a game, focusing on visual scripting, and giving you all the information you need to create your own games.We start with an introductory chapter to help you move fluidly inside the Blueprint user interface, recognize its different components, and understand any already written Blueprint script. Following this, you will learn how to modify generated Blueprint classes to produce a single player tic-tac-toe game and personalize it. Next, you will learn how to create simple user interfaces, and how to extend Blueprints through code. This will help you make an informed decision between choosing Blueprint or code. You will then see the real power of Unreal unleashed as you create a beautiful scene with moving, AI controlled objects, particles, and lights. Then, you will learn how to create AI using a behavior tree and a global level Blueprint, how to modify the camera, and how to shoot custom bullets. Finally, you will create a complex game using Blueprintable components complete with a menu, power-up, dangerous objects, and different weapons.

Zabbix Network Monitoring. Discover a smarter way to monitor your network - Second Edition

Rihards Olups, Rihards Olups

This book is a perfect starting point for monitoring with Zabbix. Even if you have never used a monitoring solution before, this book will get you up and running quickly, before guiding you into more sophisticated operations with ease. You'll soon feel in complete control of your network, ready to meet any challenges you might face.Beginning with installation, you'll learn the basics of data collection before diving deeper to get to grips with native Zabbix agents and SNMP devices. You will also explore Zabbix's integrated functionality for monitoring Java application servers and VMware. Beyond this, Zabbix Network Monitoring also covers notifications, permission management, system maintenance, and troubleshooting - so you can be confident that every potential challenge and task is under your control. If you're working with larger environments, you'll also be able to find out more about distributed data collection using Zabbix proxies. Once you're confident and ready to put these concepts into practice, you'll find out how to optimize and improve performance. Troubleshooting network issues is vital for anyone working with Zabbix, so the book is also on hand to help you work through any technical snags and glitches you might face. Network monitoring doesn't have to be a chore - learn the tricks of the Zabbix trade and make sure you're network is performing for everyone who depends upon it.

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.

The Ultimate Guide to Snowpark. Design and deploy Snowflake Snowpark with Python for efficient data workloads

Shankar Narayanan SGS, Vivekanandan SS, Jeff Hollan

Snowpark is a powerful framework that helps you unlock numerous possibilities within the Snowflake Data Cloud. However, without proper guidance, leveraging the full potential of Snowpark with Python can be challenging. Packed with practical examples and code snippets, this book will be your go-to guide to using Snowpark with Python successfully.The Ultimate Guide to Snowpark helps you develop an understanding of Snowflake Snowpark and how it enables you to implement workloads in data engineering, data science, and data applications within the Data Cloud. From configuration and coding styles to workloads such as data manipulation, collection, preparation, transformation, aggregation, and analysis, this guide will equip you with the right knowledge to make the most of this framework. You'll discover how to build, test, and deploy data pipelines and data science models. As you progress, you’ll deploy data applications natively in Snowflake and operate large language models (LLMs) using Snowpark container services.By the end of this book, you'll be able to leverage Snowpark's capabilities and propel your career as a Snowflake developer to new heights.

Unity Animation Essentials. Bring your characters to life with the latest features of Unity and Mecanim

Alan Thorn

Learning Libgdx Game Development. Are your games limited to one platform? Use our practical guide to libGDX and before long you'll be developing games that run across multiple platforms, enjoying an increased audience and revenue

Andreas Oehlke, Andreas Oehlke

Game development is a field of interdisciplinary skills, which also makes it a very complex topic in many respects. One decision that usually needs to be made at the beginning of a game development processis to define the kind of computer system or platform the game will be developed for. This does not pose any problems in general but as soon as the game should also be able to run on multiple platforms it will become a developer's nightmare to maintain several distinct copies of the same game. This is where the libGDX multi-platform game development framework comes to the rescue!Learning Libgdx Game Development is a practical, hands-on guide that provides you with all the information you need to know about the libGDX framework as well as game development in general so you can start developing your own games for multiple platforms. You will gradually acquire deeper knowledge of both, libGDX and game development while you work through twelve easy-to-follow chapters.Learning Libgdx Game Development will walk you through a complete game development cycle by creating an example game that is extended with new features over several chapters. These chapters handle specific topics such as organizing resources, managing game scenes and transitions, actors, a menu system, using an advanced physics engine and many more. The chapters are filled with screenshots and/or diagrams to facilitate comprehension.Learning Libgdx Game Development is the book for you if you want to learn how to write your game code once and run it on a multitude of platforms using libGDX.

Architecting Google Cloud Solutions. Learn to design robust and future-proof solutions with Google Cloud technologies

Victor Dantas

Google has been one of the top players in the public cloud domain thanks to its agility and performance capabilities. This book will help you design, develop, and manage robust, secure, and dynamic solutions to successfully meet your business needs.You'll learn how to plan and design network, compute, storage, and big data systems that incorporate security and compliance from the ground up. The chapters will cover simple to complex use cases for devising solutions to business problems, before focusing on how to leverage Google Cloud's Platform-as-a-Service (PaaS) and Software-as-a-Service (SaaS) capabilities for designing modern no-operations platforms. Throughout this book, you'll discover how to design for scalability, resiliency, and high availability. Later, you'll find out how to use Google Cloud to design modern applications using microservices architecture, automation, and Infrastructure-as-Code (IaC) practices. The concluding chapters then demonstrate how to apply machine learning and artificial intelligence (AI) to derive insights from your data. Finally, you will discover best practices for operating and monitoring your cloud solutions, as well as performing troubleshooting and quality assurance.By the end of this Google Cloud book, you'll be able to design robust enterprise-grade solutions using Google Cloud Platform.

Mastering IPython 4.0. Complete guide to interactive and parallel computing using IPython 4.0

Thomas Bitterman

IPython is an interactive computational environment in which you can combine code execution, rich text, mathematics, plots, and rich media.This book will get IPython developers up to date with the latest advancements in IPython and dive deep into interactive computing with IPython. This an advanced guide on interactive and parallel computing with IPython will explore advanced visualizations and high-performance computing with IPython in detail. You will quickly brush up your knowledge of IPython kernels and wrapper kernels, then we'?ll move to advanced concepts such as testing, Sphinx, JS events, interactive work, and the ZMQ cluster. The book will cover topics such as IPython Console Lexer, advanced configuration, and third-party tools.By the end of this book, you will be able to use IPython for interactive and parallel computing in a high-performance computing environment.