Mastering Game Development with Unreal Engine 4, 2nd EditionTo make a basic combat game from scratch, you will quickly override existing UE4 classes, and add and implement simple C++ functions while running and building them. These are all discussed as a short summary for new developers and as a quick refresher for experienced developers. Next, you will build a combat player character with expanded controls, create logic for a character, swap weapons, attack and move, bridge over scene changes and transitions, retain data between scenes, and manage the scene-change process.
You will then build an intelligent enemy AI and add physics based particles for weapon impacts. You will also get acquainted with cutting-edge features such as Volumetric Lightmaps for precomputed lighting, and Atmospheric and Volumetric Fog, to build advanced visuals in our ongoing GitHub project.
Moving on, you will explore the tools required to build an in-game cut-scene for a more professional gameplay experience and story direction.
Along the way, you will impl ...
Monetizing Machine LearningTake your Python machine learning ideas and create serverless web applications accessible by anyone with an Internet connection. Some of the most popular serverless cloud providers are covered in this book - Amazon, Microsoft, Google, and PythonAnywhere.
You will work through a series of common Python data science problems in an increasing order of complexity. The practical projects presented in this book are simple, clear, and can be used as templates to jump-start many other types of projects. You will learn to create a web application around numerical or categorical predictions, understand the analysis of text, create powerful and interactive presentations, serve restricted access to data, and leverage web plugins to accept credit card payments and donations. You will get your projects into the hands of the world in no time.
Each chapter follows three steps: modeling the right way, designing and developing a local web application, and deploying onto a popular and reliable serv ...
Matplotlib 3.0 CookbookMatplotlib provides a large library of customizable plots, along with a comprehensive set of backends. Matplotlib 3.0 Cookbook is your hands-on guide to exploring the world of Matplotlib, and covers the most effective plotting packages for Python 3.7.
With the help of this cookbook, you'll be able to tackle any problem you might come across while designing attractive, insightful data visualizations. With the help of over 150 recipes, you'll learn how to develop plots related to business intelligence, data science, and engineering disciplines with highly detailed visualizations. Once you've familiarized yourself with the fundamentals, you'll move on to developing professional dashboards with a wide variety of graphs and sophisticated grid layouts in 2D and 3D. You'll annotate and add rich text to the plots, enabling the creation of a business storyline. In addition to this, you'll learn how to save figures and animations in various formats for downstream deployment, followed by exten ...
Hands-On Design Patterns with React NativeReact Native helps developers reuse code across different mobile platforms like iOS and Android.
This book will show you effective design patterns in the React Native world and will make you ready for professional development in big teams.
The book will focus only on the patterns that are relevant to JavaScript, ECMAScript, React and React Native. However, you can successfully transfer a lot of the skills and techniques to other languages. I call them "Idea patterns".
This book will start with the most standard development patterns in React like component building patterns, styling patterns in React Native and then extend these patterns to your mobile application using real world practical examples. Each chapter comes with full, separate source code of applications that you can build and run on your phone.
The book is also diving into architectural patterns. Especially how to adapt MVC to React environment. You will learn Flux architecture and how Redux is implementing it. ...
Natural Language Processing with TensorFlowNatural language processing (NLP) supplies the majority of data available to deep learning applications, while TensorFlow is the most important deep learning framework currently available. Natural Language Processing with TensorFlow brings TensorFlow and NLP together to give you invaluable tools to work with the immense volume of unstructured data in today's data streams, and apply these tools to specific NLP tasks.
Thushan Ganegedara starts by giving you a grounding in NLP and TensorFlow basics. You'll then learn how to use Word2vec, including advanced extensions, to create word embeddings that turn sequences of words into vectors accessible to deep learning algorithms. Chapters on classical deep learning algorithms, like convolutional neural networks (CNN) and recurrent neural networks (RNN), demonstrate important NLP tasks as sentence classification and language generation. You will learn how to apply high-performance RNN models, like long short-term memory (LSTM) cells, to NLP t ...
Hacking Product DesignUnderstand how designing a technology product in a startup environment is markedly different from product design at established companies. This book teaches product designers how to think and frame problems in the dynamic context of startups. You will discover how to enhance your soft skills that are often not taught, but are crucial to your success.
In the emerging field of design for technology products, there are many books and resources covering the hard skills—such as visual design, interface design, prototyping, and motion design. These skills are necessary to design work; however, without an understanding of the true potential of design and the skills required to unleash that potential in a startup setting, the impact of design may remain at a production level and not reach a position where it can positively impact product strategy and the business bottom line. Hacking Product Design addresses that gap in knowledge.
Gain foundational knowledge: know what startups are, t ...
Full Stack Development with JHipsterJHipster is a development platform to generate, develop, and deploy Spring Boot and Angular / React applications and Spring microservices. It provides you with a variety of tools that will help you quickly build modern web applications. This book will be your guide to building full stack applications with Spring and Angular using the JHipster tool set.
You will begin by understanding what JHipster is and the various tools and technologies associated with it. You will learn the essentials of a full stack developer before getting hands-on and building a monolithic web application with JHipster. From here you will learn the JHipster Domain Language with entity modeling and entity creation using JDL and JDL studio. Moving on, you will be introduced to client side technologies such as Angular and Bootstrap and will delve into technologies such as Spring Security, Spring MVC, and Spring Data. You will learn to build and package apps for production with various deployment options such as H ...
Architecting Angular Applications with Redux, RxJS, and NgRxManaging the state of large-scale web applications is a highly challenging task with the need to align different components, backends, and web workers harmoniously. When it comes to Angular, you can use NgRx, which combines the simplicity of Redux with the reactive programming power of RxJS to build your application architecture, making your code elegant and easy to reason about, debug, and test.
In this book, we start by looking at the different ways of architecting Angular applications and some of the patterns that are involved in it. This will be followed by a discussion on one-way data flow, the Flux pattern, and the origin of Redux.
The book introduces you to declarative programming or, more precisely, functional programming and talks about its advantages. We then move on to the reactive programming paradigm. Reactive programming is a concept heavily used in Angular and is at the core of NgRx. Later, we look at RxJS, as a library and master it. We thoroughly describe how Re ...
TensorFlow Machine Learning Cookbook, 2nd EditionTensorFlow is an open source software library for Machine Intelligence. The independent recipes in this book will teach you how to use TensorFlow for complex data computations and allow you to dig deeper and gain more insights into your data than ever before.
With the help of this book, you will work with recipes for training models, model evaluation, sentiment analysis, regression analysis, clustering analysis, artificial neural networks, and more. You will explore RNNs, CNNs, GANs, reinforcement learning, and capsule networks, each using Google's machine learning library, TensorFlow. Through real-world examples, you will get hands-on experience with linear regression techniques with TensorFlow. Once you are familiar and comfortable with the TensorFlow ecosystem, you will be shown how to take it to production.
By the end of the book, you will be proficient in the field of machine intelligence using TensorFlow. You will also have good insight into deep learning and be capable of ...
Python Descriptors, 2nd EditionCreate descriptors and see ideas and examples of how to use descriptors effectively. In this short book, you'll explore descriptors in general, with a deep explanation of what descriptors are, how they work, and how they're used. Once you understand the simplicity of the descriptor protocol, the author delves into using and creating descriptors in practice, with plenty of tips, patterns, and real-world guidance. Because descriptors are inherently flexible, you'll work with multiple examples illustrating how to best take advantage of them.
This second edition includes additions throughout, including new material covering the set_name_() descriptors, new and improved flowcharts to explain the inner workings of descriptors, and a completely new chapter to address instance-level attributes, the easiest way to create descriptors correctly the first time.
Although brief, Python Descriptors is a comprehensive guide to creating Python descriptors, including a pip install-able library cal ...