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With two decades of programming experience across multiple languages and platforms, expert game developer and console porting programmer Michael Dunsky guides you through the intricacies of character animation programming. This book tackles the common challenges developers face in creating sophisticated, efficient, and visually appealing character animations.You’ll learn how to leverage the Open Asset Import Library for easy 3D model loading and optimize your 3D engine by offloading computations from the CPU to the GPU. The book covers visual selection, extended camera handling, and separating your application into edit and simulation modes. You’ll also master configuration storage to progressively build your virtual world piece by piece.As you develop your engine-like application, you’ll implement collision detection, inverse kinematics, and expert techniques to bring your characters to life with realistic visuals and fluid movement. For more advanced animation and character behavior controls, you’ll design truly immersive and responsive NPCs, load real game maps, and use navigation algorithms, enabling the instances to roam freely in complex environments.By the end of this book, you’ll be skilled at designing interactive virtual worlds inhabited by lifelike NPCs that exhibit natural, context-aware behaviors.
Python Essentials for AWS Cloud Developers. Run and deploy cloud-based Python applications using AWS
AWS provides a vast variety of services for implementing Python applications, which can pose a challenge for those without an AWS background. This book addresses one of the more predominant problems of choosing the right service and stepping into the implementation of exciting Python apps using AWS.The book begins by showing you how to install Python and create an AWS account, before helping you explore AWS Lambda, EC2, Elastic Beanstalk, and S3 for Python programming. You'll then gain hands-on experience in using these services to build the Python application. As you advance, you'll discover how to debug Python apps using PyCharm, and then start deploying the Python applications on Elastic Beanstalk. You’ll also learn how to monitor Python applications using the CloudWatch service, along with creating and publishing APIs on AWS to access the Python application. The concluding chapters will help you get to grips with storing unstructured and semi-structured data using NoSQL and DynamoDB, as well as advance your knowledge using the Glue serverless data integration service in AWS.By the end of this Python book, you’ll be able to take your application development skills up a notch with AWS services and advance in your career.
Ravi Saraswathi, Jaswant Singh
BPEL, Business Process Execution Language is the definitive standard in writing and defining actions within business processes. Oracle BPEL Process Manager R1 is Oracle's latest offering, providing you with a complete end-to-end platform for the creation, implementation, and management of your BPEL business processes that are so important to your service-oriented architecture.Oracle SOA BPEL Process Manager 11gR1 – A Hands-on Tutorial is your guide to BPEL design and development, SOA Suite platform troubleshooting, and engineering in a detailed step-by-step guide working real-world examples and case studies. Using industry-leading practices you will start by creating your first BPEL process and move onto configuring your processes, then invoking, orchestrating, and testing them. You will then learn how to use architect and design services using BPEL, performance tuning, integration, and security, as well as high availability, troubleshooting, and modeling for the future.Oracle SOA BPEL Process Manager 11gR1 – A Hands-on Tutorial is your complete hands-on guide to Oracle SOA BPEL Process Manager 11g.
As Unreal Engine 5 continues to conquer all industries thanks to its real-time technology, UE skills are becoming more sought after than ever. This three-part book covers all the processes behind the creation of a stunning environment in UE 5.Starting with the steps for installing the game engine and learning about its potential, you’ll quickly progress toward generating a variety of different upwards scaling outputs, each bigger than the previous one. After completing the first part and getting realistic shots of a single object, you’ll delve into the world of landscapes, procedural material and foliage, the Landmass plugin, and water tools by creating an environment using Megascan assets. At this point, you’ll know everything you need to create a fascinating and realistic environment. The final part of this book will teach you how to craft cinematic shots by working with cinematic tools, post processing, and framing tools, and by rendering a photorealistic shot in the last chapter.By the end of this Unreal Engine book, you'll be able to create outstanding and realistic environments using the powerful tools provided by UE as well as have an understanding of the importance of filming and composition in world building.
Tomasz Palczewski, Jaejun (Brandon) Lee, Lenin Mookiah
Machine learning engineers, deep learning specialists, and data engineers encounter various problems when moving deep learning models to a production environment. The main objective of this book is to close the gap between theory and applications by providing a thorough explanation of how to transform various models for deployment and efficiently distribute them with a full understanding of the alternatives.First, you will learn how to construct complex deep learning models in PyTorch and TensorFlow. Next, you will acquire the knowledge you need to transform your models from one framework to the other and learn how to tailor them for specific requirements that deployment environments introduce. The book also provides concrete implementations and associated methodologies that will help you apply the knowledge you gain right away. You will get hands-on experience with commonly used deep learning frameworks and popular cloud services designed for data analytics at scale. Additionally, you will get to grips with the authors’ collective knowledge of deploying hundreds of AI-based services at a large scale.By the end of this book, you will have understood how to convert a model developed for proof of concept into a production-ready application optimized for a particular production setting.
Clojure: High Performance JVM Programming. Click here to enter text
Akhil Wali, Shantanu Kumar, Eduardo Díaz
Clojure is a general-purpose language from the Lisp family with an emphasis on functional programming. It has some interesting concepts and features such as immutability, gradual typing, thread-safe concurrency primitives, and macro-based metaprogramming, which makes it a great choice to create modern, performant, and scalable applications.This learning path aims at unleashing the true potential of the Clojure language so you can use it in your projects. It begins with installing and setting up the Clojure environment before moving on to explore the language in depth. You’ll get acquainted with its various features such as functional programming, concurrency, reducers, transducers, core.async and core.logic, and so on with a great level of detail.Moving on, you’ll also learn how to enhance performance using Java interoperability and JVM-specific features from Clojure; you’ll even master language features such as asynchronous channels, actors, logic programming, reactive programming, metaprogramming, and so on.This learning path combines some of the best that Packt has to offer in one complete, curated package. It includes content from the following Packt products:• Clojure for Java Developers by Eduardo Díaz• Clojure High Performance Programming, Second Edition by Shantanu Kumar• Mastering Clojure by Akhil Wali