Madhusudhan Konda provides an overview of these, including strings in switch statements, multi-catch exception handling, try-with-resource statements, the new File System API, extensions of the JVM, support for dynamically-typed languages, and the fork and join framework for task parallelism.

    Maybe you’re stuck in a boring industry. Maybe your boss likes to slam doors. The truth is that many smart, motivated people would quit in a heartbeat if they weren’t afraid of the financial risks…and, well, the unknown. Whether you want to upgrade your 9-5 or start your own company, Robbie Abed presents a foolproof strategy to find a better job—without stressing, worrying your family, or losing money. You’re talented. Talent is in high demand. You just have to know where to look. In this accessible handbook, full of anecdotes, stories, and tips, you’ll learn how to reconnect with your interests, sharpen your talents, build a network, experiment with ideas for next steps, elicit job offers, and negotiate for higher salaries than your last. Oh, and how to quit your job with aplomb (goodbye email template included). You’ve been miserable for long enough. Look at it this way: hating your job might be the best thing that could’ve happened to you. It’s a kick in the pants to learn survival skills for the coming jobpocalypse. As our machines get smarter, robots, cognitive machines, and the simple software on your computer will render old jobs obsolete. In other words, there is no such thing as job security. The goal of this book is twofold: to help you get out before the music stops, and to teach you skills to find a job you love. Not just once, but anytime, anywhere, in any economic climate, with almost any salary goal. You didn’t hear that wrong.

    In The Master Algorithm, Pedro Domingos lifts the veil to give us a peek inside the learning machines that power Google, Amazon, and your smartphone. He assembles a blueprint for the future universal learner--the Master Algorithm--and discusses what it will mean for business, science, and society. If data-ism is today's philosophy, this book is its bible.

    In this free collection of excerpts, enjoy a taste of all of Vince Flynn’s thrillers starring CIA superagent Mitch Rapp.

    Like many others, I feel like I have learned more in the last couple of years studying Bitcoin than I have during two decades of formal education. The following lessons are a distillation of what I’ve learned. First published as an article series titled “What I’ve Learned From Bitcoin,” what follows can be seen as a third edition of the original series. Like Bitcoin, these lessons aren’t a static thing. I plan to work on them periodically, releasing updated versions and additional material in the future.Bitcoin is an inexhaustible teacher, which is why I do not claim that these lessons are all-encompassing or complete. They are a reflection of my personal journey down the rabbit hole. There are many more lessons to be learned, and every person will learn something different from entering the world of Bitcoin. I hope that you will find these lessons useful and that the process of learning them by reading won’t be as arduous and painful as learning them firsthand.

    You'll read about humans who are invisible to computers, how a default password once caused a zombie apocalypse and why airlines sometimes give away free tickets. This is also a book on how to prevent, avoid and reduce the impact of such problems. Our lives are increasingly tracked, monitored and categorised by software, driving a flood of information into the vast sea of big data. In this brave new world, humans can't cope with information overload. Governments and companies alike rely on computers to automatically detect fraud, predict behaviour and enforce laws. Inflexible automatons, barely smarter than a fridge, now make life-changing decisions. Clever marketing tricks us into believing that phones, TV sets and even cars are somehow smart. Yet all those computer systems were created by people - people who are well-meaning but fallible and biased, clever but forgetful, and who have grand plans but are pressed for time. Digitising a piece of work doesn't mean there will be no mistakes, but instead guarantees that when mistakes happen, they'll run at a massive scale. The next time you bang your head against a digital wall, the stories in this book will help you understand better what's going on and show you where to look for problems. If nothing else, when it seems as if you're under a black-magic spell, these stories will at least allow you to see the lighter side of the binary chaos. For people involved in software delivery, this book will help you find more empathy for people suffering from our mistakes, and discover heuristics to use during analysis, development or testing to make your software less error prone. <

    It shouldn't take a worldwide pandemic and nationwide protests to bring economic and racial inequality to the forefront of problems we desperately need to solve. But now that the opportunity is here, what should we do? How can we create more equality, opportunity, and growth for everyone? Not someday, but what can government and the private sector do right now to disrupt a status quo that almost everyone wants to change?In Common Sense, the New York Times best-selling author Joel Greenblatt offers an investor's perspective on building an economy that truly works for everyone. With dry wit and engaging storytelling, he makes a lively and provocative case for disruptive new approaches--some drawn from personal experience, some from the outside looking in. How can leading corporations immediately disrupt our education establishment while creating high-paying job opportunities for those currently left behind? If we want a living wage for everyone, how can we afford it while using an existing program to get it done now? If we subsidize banks, what simple changes can we make to the way we capitalize and regulate them to help grow the economy, increase access, and create more jobs (while keeping the risks and benefits where they belong)? Greenblatt also explains how dramatically increasing immigration would be like giving every American a giant bonus and the reason Australia might be the best place to learn about saving for retirement.Not everyone will agree with what Greenblatt has to say--but all of us can benefit from the conversations he aims to start.

    

    The coverage also features learning aids.

    It's not likely to be advice you'll hear from anyone else. It is only about an hour to read, but the concepts will ring in your ears for years. [From the Book's Introduction] Many people have been incredibly generous to me throughout the first decade of my career. To return that good karma, I try to pay it forward… to be open and available for people who ask me for insight or advice or just have questions about where to go next. I find myself having many conversations about career decisions. Recently, many of these conversations have repeating many of the same pieces of advice. Over the years I’ve gotten enough positive feedback that publishing these thoughts seems worthwhile. After our conversations I’m often told that this advice was unique, counterintuitive, and valuable. That is a high compliment. And if more people would think the same, then I should put these thought somewhere more scalable and accessible. So, I’ve written them down here.

    In 1999, "Refactoring" revolutionized design by introducing an effective process for improving code. With the highly anticipated " Refactoring to Patterns ," Joshua Kerievsky has changed our approach to design by forever uniting patterns with the evolutionary process of refactoring.This book introduces the theory and practice of pattern-directed refactorings: sequences of low-level refactorings that allow designers to safely move designs to, towards, or away from pattern implementations. Using code from real-world projects, Kerievsky documents the thinking and steps underlying over two dozen pattern-based design transformations. Along the way he offers insights into pattern differences and how to implement patterns in the simplest possible ways.Coverage includes: A catalog of twenty-seven pattern-directed refactorings, featuring real-world code examples Descriptions of twelve design smells that indicate the need for this book s refactorings General information and new insights about patterns and refactoringDetailed implementation mechanics: how low-level refactorings are combined to implement high-level patterns Multiple ways to implement the same pattern and when to use each Practical ways to get started even if you have little experience with patterns or refactoring"Refactoring to Patterns" reflects three years of refinement and the insights of more than sixty software engineering thought leaders in the global patterns, refactoring, and agile development communities. Whether you re focused on legacy or greenfield development, this book will make you a better software designer by helping you learn how to make important design changes safely and effectively. "

    A simple web search picks out a handful of relevant needles from the world's biggest haystack: the billions of pages on the World Wide Web. Uploading a photo to Facebook transmits millions of pieces of information over numerous error-prone network links, yet somehow a perfect copy of the photo arrives intact. Without even knowing it, we use public-key cryptography to transmit secret information like credit card numbers; and we use digital signatures to verify the identity of the websites we visit. How do our computers perform these tasks with such ease? This is the first book to answer that question in language anyone can understand, revealing the extraordinary ideas that power our PCs, laptops, and smartphones. Using vivid examples, John MacCormick explains the fundamental "tricks" behind nine types of computer algorithms, including artificial intelligence (where we learn about the "nearest neighbor trick" and "twenty questions trick"), Google's famous PageRank algorithm (which uses the "random surfer trick"), data compression, error correction, and much more. These revolutionary algorithms have changed our world: this book unlocks their secrets, and lays bare the incredible ideas that our computers use every day.

    They regale readers with riveting vignettes of how AIG grew from a modest group of insurance enterprises in 1970 to the largest insurance company in world history. They help us understand AIG's distinctive entrepreneurial culture and how its outstanding employees worldwide helped pave the road to globalization.Corrects numerous common misconceptions about AIG that arose due to its role at the center of the financial crisis of 2008. A unique account of AIG by one of the iconic business leaders of the twentieth century who developed close relationships with many of the most important world leaders of the period and helped to open markets everywhere Offers new critical perspective on battles with N. Y. Attorney General Eliot Spitzer and the 2008 U.S. government seizure of AIG amid the financial crisis Shares considerable information not previously made public The AIG Story captures an impressive saga in business history--one of innovation, vision and leadership at a company that was nearly--destroyed with a few strokes of governmental pens. The AIG Story carries important lessons and implications for the U.S., especially its role in international affairs, its approach to business, its legal system and its handling of financial crises.

    Success key books for: Programming puzzles for interviews Campus Preparation Degree/Masters Course Preparation Instructor's GATE Preparation Big job hunters: Microsoft, Google, Amazon, Yahoo, Flip Kart, Adobe, IBM Labs, Citrix, Mentor Graphics, NetApp, Oracle, Webaroo, De-Shaw, Success Factors, Face book, McAfee and many more Reference Manual for working people

    So, why does conventional wisdom insist that software engineers focus primarily on the design and development of large-scale computing systems?In this collection of essays and articles, key members of Google's Site Reliability Team explain how and why their commitment to the entire lifecycle has enabled the company to successfully build, deploy, monitor, and maintain some of the largest software systems in the world. You'll learn the principles and practices that enable Google engineers to make systems more scalable, reliable, and efficient--lessons directly applicable to your organization.This book is divided into four sections: Introduction--Learn what site reliability engineering is and why it differs from conventional IT industry practicesPrinciples--Examine the patterns, behaviors, and areas of concern that influence the work of a site reliability engineer (SRE)Practices--Understand the theory and practice of an SRE's day-to-day work: building and operating large distributed computing systemsManagement--Explore Google's best practices for training, communication, and meetings that your organization can use