This book is designed for anyone who wants to begin creating stylish web pages. Author Mike McGrath begins by explaining how Cascading Style Sheets (CSS) can determine the presentation of elements within HTML documents. Examples show how style sheet rules can control content position and appearance, and provide dynamic effects with animation, transformations, and transitions.

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How can software engineers manage a living codebase that evolves and responds to changing requirements and demands over the length of its life? Based on their experience at Google, software engineers Titus Winters and Hyrum Wright, along with technical writer Tom Manshreck, present a candid and insightful look at how some of the world’s leading practitioners construct and maintain software. Subtitled "Lessons Learned from Programming Over Time" this book covers Google’s unique engineering culture, processes, and tools and how these aspects contribute to the effectiveness of an engineering organization.

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This book aims to teach the skills necessary to develop Android based applications using Kotlin.  Beginning with the basics,author Neil Symth provides an outline of the steps necessary to set up an Android development and testing environment followed by an introduction to programming in Kotlin including data types, flow control, functions, lambdas, coroutines and object-oriented programming. An overview of Android Studio is included covering areas such as tool windows, the code editor and the Layout Editor tool. An introduction to the architecture of Android is followed by an in-depth look at the design of Android applications and user interfaces using the Android Studio environment.

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Real VR is the use of live-action movies, sports broadcasts, concert videos, etc. in true visual (and aural) virtual reality. immersion. Subtitled "How to Import the Real World into Head-Mounted Immersive Displays", this collection of lecture notes provides a comprehensive overview of the algorithms and methods for creating VR that uses real-world recordings. It brings together the expertise of internationally renowned experts from academia and industry who present the state of the art in this fascinating, interdisciplinary new research field.

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In this book, with the subtitle "Building Game, Physical Computing, and Machine Learning Applications", Shing Lyu shows how to go beyond the basics and build complete applications using the Rust programming language. They include a high-performance web client, a microcontroller (for a robot, for example), a game, an app that runs on Android, and an application that incorporates AI and machine learning. Each chapter is organized to show what this kind of application looks like; requirements of the example program; an introduction to the Rust libraries used; the actual implementation of the example program, including common pitfalls and their solutions.

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Subtitled" Practical recipes for scientific computing, time series analysis, and exploratory data analysis using Python", this new updated and revised edition covering Pandas 1.x provides recipes for both fundamental and advanced data manipulation tasks with pandas. Authors Matt Harrison and Theodore Petrou have included some recipes aimed at achieving a deeper understanding of basic principles, or comparing and contrasting two similar operations. Other recipes dive deep into a particular dataset, and many advanced recipes combine several different features across the pandas library to generate results.

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In this book, subtitled "Understanding Python's Asynchronous Programming Features", author Caleb Hattingh provides a basic understanding of asyncio’s building blocks - enough to get started writing simple event-based programs. He also covers why asyncio offers a safer alternative to pre-emptive multi-tasking (threading) and how this API provides a simple way to support thousands of simultaneous socket connections. Asyncio is complicated because it aims to solve problems in concurrent network programming for both framework and end-user developers, but most developers need only a small subset of the whole asyncio API, and this book aims to help you pick out the right features.

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This book delivers practical knowledge to make the most of the opportunities offered by machine learning. Authors Dino and Francesco Esposito start with a quick overview of the foundations of artificial intelligence and the basic steps of any machine learning project. Next, they introduce Microsoft’s ML.NET library, including capabilities for data processing, training, and evaluation. They present families of algorithms that can be trained to solve real-life problems, as well as deep learning techniques utilizing neural networks and conclude by introducing runtime services available through the Azure cloud platform and consider the long-term business vision for machine learning.

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This book shows how to create web pages that employ the power of JavaScript to provide functionality. Author Mike McGrath assumes no previous knowledge of any scripting language. By the end of the book readers should have gained a sound understanding of JavaScript and be able to add dynamic scripts to their own web pages

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Beginning with an introduction to AI, machine learning, deep learning, NLP, and reinforcement learning, Oswald Campesato  covers machine learning classifiers such as logistic regression, k-NN, decision trees, random forests, and SVMs. The book also covers deep learning architectures such as CNNs, RNNs, LSTMs, and auto encoders. Keras-based code samples are included to supplement the theoretical discussion and has appendices for Keras, TensorFlow 2, and Pandas.

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Written by the main authors of the TensorFlow library, Shanqing Cai, Stan Bileschi and Eric Nielsen, this book, subtitled "Neural networks in TensorFlow.js" shows what the library might be used for along with in-depth instruction for deep learning apps in JavaScript. The authors show how to use TensorFlow.js to build deep learning models that run directly in the browser. Examples featuring text analysis, speech processing, image recognition, and self-learning game AI, are used to illustrate the basics of deep learning along with more advanced concepts, like retraining existing models for transfer learning and image generation.

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This book shows how to get hands-on with various tasks, covering fundamental as well as complex C programming concepts for making real-life applications. Author B. M. Harwani starts with recipes for arrays, strings, user-defined functions, and pre-processing directives. The book then moves on to learning pointers, file handling, concurrency, networking, and inter-process communication (IPC).

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