Autodesk Civil 3D 2024 from Start to Finish. A practical guide to civil infrastructure design, modeling, and analysis

Stephen Walz, Tony Sabat

Autodesk Civil 3D can radically increase your civil engineering design and efficiency if you learn to make the most of its features and partner software platforms. Autodesk Civil 3D from Start to Finish will teach you how to leverage its strengths and scale efficiency to large teams.With this book, you’ll uncover all the major features Civil 3D offers, from surface development to intelligent utility design as well as dynamic display work for smart document creation. You’ll learn to configure and manage your civil engineering designs and explore practical applications of tools and modeling techniques available within the software.By the end of this book, you’ll have a thorough understanding of Autodesk Civil 3D along with its partner programs to strategize and improve your future projects.

Mastering Mobile Test Automation. Master the full range of mobile automation and testing techniques to develop customized mobile automation solutions

Feroz Louis, Feroz Louis, Gaurav Gupta

Meteor Cookbook. Build elegant full-stack web applications with Meteor, the JavaScript framework that’s redefining web development

Isaac Strack

Android Game Programming by Example. Harness the power of the Android SDK by building three immersive and captivating games

John Horton

Python Feature Engineering Cookbook. A complete guide to crafting powerful features for your machine learning models - Third Edition

Soledad Galli, Christoph Molnar

Streamline data preprocessing and feature engineering in your machine learning project with this third edition of the Python Feature Engineering Cookbook to make your data preparation more efficient.This guide addresses common challenges, such as imputing missing values and encoding categorical variables using practical solutions and open source Python libraries. You’ll learn advanced techniques for transforming numerical variables, discretizing variables, and dealing with outliers. Each chapter offers step-by-step instructions and real-world examples, helping you understand when and how to apply various transformations for well-prepared data.The book explores feature extraction from complex data types such as dates, times, and text. You’ll see how to create new features through mathematical operations and decision trees and use advanced tools like Featuretools and tsfresh to extract features from relational data and time series.By the end, you’ll be ready to build reproducible feature engineering pipelines that can be easily deployed into production, optimizing data preprocessing workflows and enhancing machine learning model performance.

OpenSceneGraph 3.0: Beginner's Guide. This book is a concise introduction to the main features of OpenSceneGraph which then leads you into the fundamentals of developing virtual reality applications. Practical instructions and explanations accompany you every step of the way

Xuelei Qian, Rui Wang, Robert Osfield

Virtual reality has quite a lot of demand in computer science today and OpenSceneGraph, being one of the best 3D graphics toolkits, is being used widely. Although you can use the powerful OpenSceneGraph, based on the low-level OpenGL API, to implement virtual-reality applications that simulate different environments in the 3D world, developing picture-perfect applications is easier said than done.This book has been written with the goal of helping readers become familiar with the structure and main functionalities of OpenSceneGraph (OSG), and guide them to develop virtual-reality applications using this powerful 3D graphics engine. This book covers the essence of OpenSceneGraph (OSG), providing programmers with detailed explanations and examples of scene graph APIs.This book helps you take full advantages of the key features and functionalities of OpenSceneGraph (OSG). You will learn almost all of the core elements required in a virtual reality application, including memory management, geometry creation, the structure of the scene graph, realistic rendering effects, scene navigation, animation, interaction with input devices and external user interfaces, file reading and writing, and so on.With the essential knowledge contained in this book, you will be able to start using OSG in your own projects and research fields, and extend its functionalities by referring to OSG's source code, official examples and API documentation.This handy book divides the core functionalities of the proved and comprehensive OpenSceneGraph (OSG) 3D graphics engine into different aspects, which are introduced in separate chapters. Each chapter can be treated as an individual part that covers one important field of OSG programming, along with several examples illustrating concrete usages and solutions. But the sequence of chapters is also organized from the easy to the more difficult, to help you get to grips with OSG.By the end of the whole book, you will have gained a ready-to-use OSG development environment for yourself and have the general ability to develop OSG-based applications and extend practical functionalities for your own purposes.

Mastering Machine Learning on AWS. Advanced machine learning in Python using SageMaker, Apache Spark, and TensorFlow

Dr. Saket S.R. Mengle, Maximo Gurmendez

Amazon Web Services (AWS) is constantly driving new innovations that empower data scientists to explore a variety of machine learning (ML) cloud services. This book is your comprehensive reference for learning and implementing advanced ML algorithms in AWS cloud.As you go through the chapters, you’ll gain insights into how these algorithms can be trained, tuned, and deployed in AWS using Apache Spark on Elastic Map Reduce (EMR), SageMaker, and TensorFlow. While you focus on algorithms such as XGBoost, linear models, factorization machines, and deep nets, the book will also provide you with an overview of AWS as well as detailed practical applications that will help you solve real-world problems. Every application includes a series of companion notebooks with all the necessary code to run on AWS. In the next few chapters, you will learn to use SageMaker and EMR Notebooks to perform a range of tasks, right from smart analytics and predictive modeling through to sentiment analysis. By the end of this book, you will be equipped with the skills you need to effectively handle machine learning projects and implement and evaluate algorithms on AWS.

RESTful Java Web Services. Design scalable and robust RESTful web services with JAX-RS and Jersey extension APIs

Jobinesh Purushothaman, Jobinesh Purushothaman