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Java is one of the most sought-after programming languages in the job market, but cracking the coding interview in this challenging economy might not be easy. This comprehensive guide will help you to tackle various challenges faced in a coding job interview and avoid common interview mistakes, and will ultimately guide you toward landing your job as a Java developer.This book contains two crucial elements of coding interviews - a brief section that will take you through non-technical interview questions, while the more comprehensive part covers over 200 coding interview problems along with their hands-on solutions. This book will help you to develop skills in data structures and algorithms, which technical interviewers look for in a candidate, by solving various problems based on these topics covering a wide range of concepts such as arrays, strings, maps, linked lists, sorting, and searching. You'll find out how to approach a coding interview problem in a structured way that produces faster results. Toward the final chapters, you'll learn to solve tricky questions about concurrency, functional programming, and system scalability.By the end of this book, you'll have learned how to solve Java coding problems commonly used in interviews, and will have developed the confidence to secure your Java-centric dream job.
M.D. McCallum, Mike D McCallum
Reallusion’s iClone is an animated movie making application that allows hobbyists, machinimators, home-based animators, and professionals to visualize their story or an idea by seeing it in action. Years ago, creating animations and single images would require a team of trained artists to accomplish. Now, iClone real time rending engine empowers its users to instantly view what is loaded into the 3D workspace or preview it as an animation, if you have the precise instructions.The iClone 3D Animation Beginner’s Guide will walk you through the building and animating of a complete scene and several one-off projects. First we create a scene with sky, terrain , water, props and other assets. Then add two characters and manipulate their features and animate their movement. We will also use particles to create the effect of a realistic torch and animate cameras to give different views to the scene. Finally we will see how to quickly import images to enhance the scene with a mountain, barn, and water tank. It will cover some fun stuff such as playing with props, characters, and other scene assets. It will also demonstrate some advanced topics such as screen resolution, formats and codecs but mostly it will deal with doing hands on animation with precise instructions.Starting with a blank project using stock and downloadable assets you will learn to lay out and animate a scene and export that scene to both a single image and a movie. The main project will demonstrate many common and undocumented techniques, while each project introduces and examines tools and techniques for successful and fun animation of ideas or scripts.Each project of the book including the main project is designed to cover the aspects of 3D animation in a manner which anyone with basic computer skills can follow. You will discover the importance of lighting a scene including daytime scenes. The concept of the timeline and key frames will be covered in detail and other topics such as rendering (exporting), character modification and prop placement all have their own sections with step by step instructions followed by an explanation of what just happened. Good animation habits and project basics are stressed throughout the book interspersed with time saving tips and techniques gained from years of experience with iClone.When you have finished The iClone 3D Animation Beginner’s Guide you will have a solid foundation in the basics of iClone by having animated a scene with multiple characters and props that involves dialog and interaction with other characters. You will have the knowledge to create new animation projects to hone your skills, tell your story, educate students or sell your product.
XGBoost is an industry-proven, open-source software library that provides a gradient boosting framework for scaling billions of data points quickly and efficiently.The book introduces machine learning and XGBoost in scikit-learn before building up to the theory behind gradient boosting. You’ll cover decision trees and analyze bagging in the machine learning context, learning hyperparameters that extend to XGBoost along the way. You’ll build gradient boosting models from scratch and extend gradient boosting to big data while recognizing speed limitations using timers. Details in XGBoost are explored with a focus on speed enhancements and deriving parameters mathematically. With the help of detailed case studies, you’ll practice building and fine-tuning XGBoost classifiers and regressors using scikit-learn and the original Python API. You'll leverage XGBoost hyperparameters to improve scores, correct missing values, scale imbalanced datasets, and fine-tune alternative base learners. Finally, you'll apply advanced XGBoost techniques like building non-correlated ensembles, stacking models, and preparing models for industry deployment using sparse matrices, customized transformers, and pipelines.By the end of the book, you’ll be able to build high-performing machine learning models using XGBoost with minimal errors and maximum speed.
With constantly evolving cyber threats, developing a cybersecurity incident response capability to identify and contain threats is indispensable for any organization regardless of its size. This book covers theoretical concepts and a variety of real-life scenarios that will help you to apply these concepts within your organization.Starting with the basics of incident response, the book introduces you to professional practices and advanced concepts for integrating threat hunting and threat intelligence procedures in the identification, contention, and eradication stages of the incident response cycle. As you progress through the chapters, you'll cover the different aspects of developing an incident response program. You'll learn the implementation and use of platforms such as TheHive and ELK and tools for evidence collection such as Velociraptor and KAPE before getting to grips with the integration of frameworks such as Cyber Kill Chain and MITRE ATT&CK for analysis and investigation. You'll also explore methodologies and tools for cyber threat hunting with Sigma and YARA rules.By the end of this book, you'll have learned everything you need to respond to cybersecurity incidents using threat intelligence.
The Linux kernel is at the very core of arguably the world’s best production-quality OS. Debugging it, though, can be a complex endeavor.Linux Kernel Debugging is a comprehensive guide to learning all about advanced kernel debugging. This book covers many areas in-depth, such as instrumentation-based debugging techniques (printk and the dynamic debug framework), and shows you how to use Kprobes. Memory-related bugs tend to be a nightmare – two chapters are packed with tools and techniques devoted to debugging them. When the kernel gifts you an Oops, how exactly do you interpret it to be able to debug the underlying issue? We’ve got you covered. Concurrency tends to be an inherently complex topic, so a chapter on lock debugging will help you to learn precisely what data races are, including using KCSAN to detect them. Some thorny issues, both debug- and performance-wise, require detailed kernel-level tracing; you’ll learn to wield the impressive power of Ftrace and its frontends. You’ll also discover how to handle kernel lockups, hangs, and the dreaded kernel panic, as well as leverage the venerable GDB tool within the kernel (KGDB), along with much more.By the end of this book, you will have at your disposal a wide range of powerful kernel debugging tools and techniques, along with a keen sense of when to use which.
Trenton Potgieter, Jonathan Dahlberg
AWS provides a wide range of solutions to help automate a machine learning workflow with just a few lines of code. With this practical book, you'll learn how to automate a machine learning pipeline using the various AWS services.Automated Machine Learning on AWS begins with a quick overview of what the machine learning pipeline/process looks like and highlights the typical challenges that you may face when building a pipeline. Throughout the book, you'll become well versed with various AWS solutions such as Amazon SageMaker Autopilot, AutoGluon, and AWS Step Functions to automate an end-to-end ML process with the help of hands-on examples. The book will show you how to build, monitor, and execute a CI/CD pipeline for the ML process and how the various CI/CD services within AWS can be applied to a use case with the Cloud Development Kit (CDK). You'll understand what a data-centric ML process is by working with the Amazon Managed Services for Apache Airflow and then build a managed Airflow environment. You'll also cover the key success criteria for an MLSDLC implementation and the process of creating a self-mutating CI/CD pipeline using AWS CDK from the perspective of the platform engineering team.By the end of this AWS book, you'll be able to effectively automate a complete machine learning pipeline and deploy it to production.
Solidity is among the most popular and contract-oriented programming languages used for writing decentralized applications (DApps) on Ethereum blockchain. If you’re looking to perfect your skills in writing professional-grade smart contracts using Solidity, this book can help.You will get started with a detailed introduction to blockchain, smart contracts, and Ethereum, while also gaining useful insights into the Solidity programming language. A dedicated section will then take you through the different Ethereum Request for Comments (ERC) standards, including ERC-20, ERC-223, and ERC-721, and demonstrate how you can choose among these standards while writing smart contracts. As you approach later chapters, you will cover the different smart contracts available for use in libraries such as OpenZeppelin. You’ll also learn to use different open source tools to test, review and improve the quality of your code and make it production-ready. Toward the end of this book, you’ll get to grips with techniques such as adding security to smart contracts, and gain insights into various security considerations. By the end of this book, you will have the skills you need to write secure, production-ready smart contracts in Solidity from scratch for decentralized applications on Ethereum blockchain.