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Economics is not a field that is known for good writing. Charts, yes. Sparkling prose, no.   Except, that is, when it comes to Deirdre Nansen McCloskey. Her conversational and witty yet always clear style is a hallmark of her classic works of economic history, enlivening the dismal science and engaging readers well beyond the discipline. And now she’s here to share the secrets of how it’s done.   Economical Writing is itself economical: a collection of thirty-five pithy rules for making your writing clear, concise, and effective. Proceeding from big-picture ideas to concrete strategies for improvement at the level of the paragraph, sentence, or word, McCloskey shows us that good writing, after all, is not just a matter of taste—it’s a product of adept intuition and a rigorous revision process. Debunking stale rules, warning us that “footnotes are nests for pedants,” and offering an arsenal of readily applicable tools and methods, she shows writers of all levels of experience how to rethink the way they approach their work, and gives them the knowledge to turn mediocre prose into magic.   At once efficient and digestible, hilarious and provocative, Economical Writing lives up to its promise. With McCloskey as our guide, it’s impossible not to see how any piece of writing—on economics or any other subject—can be a pleasure to read.

Design your networks to successfully manage their growing complexity     Network professionals have often been told that today’s modern control planes would simplify their networks. The opposite has happened: Technologies like SDN and NFV, although immensely valuable, are exacerbating complexity instead of solving it. Navigating Network Complexity is the first comprehensive guide to managing this complexity in both deployment and day-to-day operations.   Russ White and Jeff Tantsura introduce modern complexity theory from the standpoint of the working network engineer, helping you apply it to the practical problems you face every day. Avoiding complex mathematical models, they show how to characterize network complexity, so you can understand it and control it.   The authors examine specific techniques and technologies associated with network control planes, including SDNs, fast reroute, segment routing, service chaining, and cloud computing. They reveal how each of these affects network design and complexity and help you anticipate causes of failure in highly complex systems.   Next, they turn to modern control planes, examining the fundamental operating principles of SDNs, such as OpenFlow and I2RS, network and other service function virtualization, content distribution networks, Layer 2 fabrics, and service chaining solutions. You’ll learn how each of these might both resolve and increase complexity in network design and operations and what you can do about it.   Coverage includes:   Defining complexity, understanding its components, and measuring it Mastering a straightforward “state, speed, and surface” model for analyzing complexity Controlling complexity in design, deployment, operations, protocols, and programmable networks Understanding how complex network systems begin to fail and how to prevent failure Recognizing complexity tradeoffs in service virtualization and service chaining Managing new challenges of complexity in virtualized and cloud environments Learning why constructs such as hierarchical design, aggregation, and protocol layering work and when they work best Choosing the right models to contain complexity as your network changes   From start to finish, Navigating Network Complexity helps you assess the true impact of new network technologies, so they can capture more value with fewer problems.  

A guide to the strategic planning techniques used by Japanese business executives explains how to identify the customer's needs, evaluate the strengths of the company, and overcome competition

Matt Mochary coaches the CEOs of many of the fastest-scaling technology companies in Silicon Valley. With The Great CEO Within, he shares his highly effective leadership and business-operating tools with any CEO or manager in the world. Learn how to efficiently scale your business from startup to corporation by implementing a system of accountability, effective problem-solving, and transparent feedback. Becoming a great CEO requires training. For a founding CEO, there is precious little time to complete that training, especially at the helm of a rapidly growing company. Now you have the guidance you need in one book.

In a sweeping vision for the future of work, Neumeier shows that the massive problems of the 21st century are largely the consequence of a paradigm shift—a shuddering gear-change from the familiar Industrial Age to the unfamiliar “Robotic Age,” an era of increasing man-machine collaboration.   This change is creating the “Robot Curve,” an accelerating waterfall of obsolescence and opportunity that is currently reshuffling the fortunes of workers, companies, and national economies. It demonstrates how the cost and value of a unit of work go down as it moves from creative to skilled to rote, and, finally, to robotic. While the Robot Curve is dangerous to those with brittle or limited skills, it offers unlimited potential to those with metaskills—master skills that enable other skills.   Neumeier believes that the metaskills we need in a post-industrial economy are feeling (intuition and empathy), seeing (systems thinking), dreaming (applied imagination), making (design), and learning (autodidactics). These are not the skills we were taught in school. Yet they’re the skills we’ll need to harness the curve.   In explaining each of the metaskills, he offers encouragement and concrete advice for mastering their intricacies. At the end of the book he lays out seven changes that education can make to foster these important talents.   This is a rich, exciting book for forward-thinking educators, entrepreneurs, designers, artists, scientists, and future leaders in every field. It comes illustrated with clear diagrams and a 16-page color photo essay. Those who enjoy this book may be interested in its slimmer companion, The 46 Rules of Genius, also by Marty Neumeier.              Things you’ll learn in Metaskills:   - How to stay ahead of the “robot curve” - How to account for “latency” in your predictions - The 9 most common traps of systems behavior - How to distinguish among 4 types of originality - The 3 key steps in generating innovative solutions - 6 ways to think like Steve Jobs - How to recognize the 3 essential qualities of beauty - 24 aesthetic tools you can apply to any kind of work - 10 strategies to trigger breakthrough ideas - Why every team needs an X-shaped person - How to overcome the 5 forces arrayed against simplicity - 6 tests for measuring the freshness of a concept   - How to deploy the 5 principles of “uncluding” - The 10 tests for measuring great work - How to sell an innovative concept to an organization - 12 principles for constructing a theory of learning - How to choose a personal mission for the real world - The 4 levels of professional achievement - 7 steps for revolutionizing education From the back cover "Help! A robot ate my job!" If you haven't heard this complaint yet, you will. Today's widespread unemployment is not a jobs crisis. It's a talent crisis. Technology is taking every job that doesn't need a high degree of creativity, humanity, or leadership. The solution? Stay on top of the Robot Curve--a constant waterfall of obsolescence and opportunity fed by competition and innovation. Neumeier presents five metaskills--feeling, seeing, dreaming, making, and learning--that will accelerate your success in the Robotic Age.

Even bad code can function. But if code isn’t clean, it can bring a development organization to its knees. Every year, countless hours and significant resources are lost because of poorly written code. But it doesn’t have to be that way. Noted software expert Robert C. Martin presents a revolutionary paradigm with Clean Code: A Handbook of Agile Software Craftsmanship. Martin has teamed up with his colleagues from Object Mentor to distill their best agile practice of cleaning code “on the fly” into a book that will instill within you the values of a software craftsman and make you a better programmer–but only if you work at it. What kind of work will you be doing? You’ll be reading code–lots of code. And you will be challenged to think about what’s right about that code, and what’s wrong with it. More importantly, you will be challenged to reassess your professional values and your commitment to your craft. Clean Code is divided into three parts. The first describes the principles, patterns, and practices of writing clean code. The second part consists of several case studies of increasing complexity. Each case study is an exercise in cleaning up code–of transforming a code base that has some problems into one that is sound and efficient. The third part is the payoff: a single chapter containing a list of heuristics and “smells” gathered while creating the case studies. The result is a knowledge base that describes the way we think when we write, read, and clean code. Readers will come away from this book understanding How to tell the difference between good and bad code How to write good code and how to transform bad code into good code How to create good names, good functions, good objects, and good classes How to format code for maximum readability How to implement complete error handling without obscuring code logic How to unit test and practice test-driven development This book is a must for any developer, software engineer, project manager, team lead, or systems analyst with an interest in producing better code.

When you trade, you're not just trading companies that deliver goods or services. You're trading against other traders who care about only one thing: taking your money. That's the #1 hard reality of trading - and most traders either don't know it, or don't act as if they do. In this book, top trader and hedge fund manager Quint Tatro shows how to win consistently in the "zero sum" game of trading, where there's a loser for every winner. You'll learn how to reflect your trading competition in every facet of trading and investing: choosing companies to invest in, knowing when to jump in and out of the market, and mastering the psychology and gamesmanship of trading. Coverage includes: Understanding the "other side of the trade": the thousands of pros you're trading against. Finding a technical edge with technical analysis you can exploit over and over again. Understanding sentiment and overcoming the human emotions and biases that cost you dearly. Utilizing the most essential strategies of fundamental analysis. Playing positions and probabilities, not P+Ls. Recognizing and capturing huge opportunities in down markets.

Tracking the latest risks and rewards on Wall Street, here's the perennial bestseller offering the most reliable investment advice for the new century. This gimmick-free, irreverent, and vastly informative guide shows how to navigate the turbulence on Wall Street and beat the pros at their own game. Skilled at puncturing financial bubbles and other delusions of the Wall Street crowd, Burton Malkiel shows why a broad portfolio of stocks selected at random will match the performance of one carefully chosen by experts. Taking a shrewd look at the high-tech boom and its aftermath, Malkiel shows how to maximize gains and minimize losses in this era of electronic brokers, virtual gurus, and flashy investment vehicles. Learn how to analyze the potential returns, not only for stocks and bonds, but for the full range of investment opportunities, from money market accounts and real estate investment trusts to insurance, home owning, and tangible assets like gold and collectibles. Decode the rating game for mutual funds, and discover the unique advantages of index mutual funds over the wide range of riskier alternatives. Year in and year out the best investing guide money can buy, this enhanced edition includes an update of Professor Malkiel's famous "Life-Cycle Guide to Investing," showing how to match an investment strategy to your stage of life.

We design to elicit responses from people. We want them to buy something, read more, or take action of some kind. Designing without understanding what makes people act the way they do is like exploring a new city without a map: results will be haphazard, confusing, and inefficient. This book combines real science and research with practical examples to deliver a guide every designer needs. With it you’ll be able to design more intuitive and engaging work for print, websites, applications, and products that matches the way people think, work, and play.Learn to increase the effectiveness, conversion rates, and usability of your own design projects by finding the answers to questions such as:What grabs and holds attention on a page or screen? What makes memories stick? What is more important, peripheral or central vision? How can you predict the types of errors that people will make? What is the limit to someone’s social circle? How do you motivate people to continue on to (the next step? What line length for text is best? Are some fonts better than others? These are just a few of the questions that the book answers in its deep-dive exploration of what makes people tick.

This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. In iOS and macOS™ Performance Tuning, Marcel Weiher drills down to the code level to help you systematically optimize CPU, memory, I/O, graphics, and program responsiveness in any Objective-C, Cocoa, or CocoaTouch program.   This up-to-date guide focuses entirely on performance optimization for macOS and iOS. Drawing on 25 years of experience optimizing Apple device software, Weiher identifies concrete performance problems that can be discovered empirically via measurement. Then, based on a deep understanding of fundamental principles, he presents specific techniques for solving them.   Weiher presents insights you won’t find anywhere else, most of them applying to both macOS and iOS development. Throughout, he reveals common pitfalls and misconceptions about Apple device performance, explains the realities, and helps you reflect those realities in code that performs beautifully. Understand optimization principles, measurement, tools, pitfalls, and techniques Recognize when to carefully optimize, and when it isn’t worth your time Balance performance and encapsulation to create efficient object representations, communication, data access, and computation Avoid mistakes that slow down Objective-C programs and hinder later optimization Fix leaks and other problems with memory and resource management Address I/O issues associated with drives, networking, serialization, and SQLite Code graphics and UIs that don’t overwhelm limited iOS device resources Learn what all developers need to know about Swift performance