Why do we recognize patterns? Is there such a thing as positive stress? Are we genetically programmed to be in conflict with each other? Those are just some of the 150 questions that the world's best scientific minds answer with elegant simplicity.With contributions from Jared Diamond, Richard Dawkins, Nassim Taleb, Brian Eno, Steven Pinker, and more, everything is explained in fun, uncomplicated terms that make the most complex concepts easy to comprehend.

    And human beings are gifted with an almost unlimited potential for learning and creativity. Now you can uncover your own hidden abilities, sharpen your senses, and liberate your unique intelligence—by following the example of the greatest genius of all time, Leonardo da Vinci.Acclaimed author Michael J. Gelb, who has helped thousands of people expand their minds to accomplish more than they ever thought possible, shows you how. Drawing on Da Vinci's notebooks, inventions, and legendary works of art, Gelb introduces Seven Da Vincian Principles—the essential elements of genius—from curiosità, the insatiably curious approach to life to connessione, the appreciation for the interconnectedness of all things. With Da Vinci as your inspiration, you will discover an exhilarating new way of thinking. And step-by-step, through exercises and provocative lessons, you will harness the power—and awesome wonder—of your own genius, mastering such life-changing abilities as: •Problem solving •Creative thinking •Self-expression •Enjoying the world around you •Goal setting and life balance •Harmonizing body and mindDrawing on Da Vinci's notebooks, inventions, and legendary works of art, acclaimed author Michael J. Gelb, introduces seven Da Vincian principles, the essential elements of genius, from curiosita, the insatiably curious approach to life, to connessione, the appreciation for the interconnectedness of all things. With Da Vinci as their inspiration, readers will discover an exhilarating new way of thinking. Step-by-step, through exercises and provocative lessons, anyone can harness the power and awesome wonder of their own genius, mastering such life-changing skills as problem solving, creative thinking, self-expression, goal setting and life balance, and harmonizing body and mind.

    With the 97 short and extremely useful tips for programmers in this book, you'll expand your skills by adopting new approaches to old problems, learning appropriate best practices, and honing your craft through sound advice.With contributions from some of the most experienced and respected practitioners in the industry--including Michael Feathers, Pete Goodliffe, Diomidis Spinellis, Cay Horstmann, Verity Stob, and many more--this book contains practical knowledge and principles that you can apply to all kinds of projects.A few of the 97 things you should know:"Code in the Language of the Domain" by Dan North"Write Tests for People" by Gerard Meszaros"Convenience Is Not an -ility" by Gregor Hohpe"Know Your IDE" by Heinz Kabutz"A Message to the Future" by Linda Rising"The Boy Scout Rule" by Robert C. Martin (Uncle Bob)"Beware the Share" by Udi Dahan

    Building on the successful top-down approach of previous editions, this fourth edition continues with an early emphasis on application-layer paradigms and application programming interfaces, encouraging a hands-on experience with protocols and networking concepts.

    In Blood, Sweat, and Pixels, Jason Schreier takes readers on a fascinating odyssey behind the scenes of video game development, where the creator may be a team of 600 overworked underdogs or a solitary geek genius. Exploring the artistic challenges, technical impossibilities, marketplace demands, and Donkey Kong-sized monkey wrenches thrown into the works by corporate, Blood, Sweat, and Pixels reveals how bringing any game to completion is more than Sisyphean—it's nothing short of miraculous.Taking some of the most popular, bestselling recent games, Schreier immerses readers in the hellfire of the development process, whether it's RPG studio Bioware's challenge to beat an impossible schedule and overcome countless technical nightmares to build Dragon Age: Inquisition; indie developer Eric Barone's single-handed efforts to grow country-life RPG Stardew Valley from one man's vision into a multi-million-dollar franchise; or Bungie spinning out from their corporate overlords at Microsoft to create Destiny, a brand new universe that they hoped would become as iconic as Star Wars and Lord of the Rings—even as it nearly ripped their studio apart. Documenting the round-the-clock crunches, buggy-eyed burnout, and last-minute saves, Blood, Sweat, and Pixels is a journey through development hell—and ultimately a tribute to the dedicated diehards and unsung heroes who scale mountains of obstacles in their quests to create the best games imaginable.

    In addition to the difficulties of putting pen to paper, authors must now contend with a slew of new media. This has forever altered the relationship between writers and their readers, their publishers, and their work. In an era when authors are expected to do more and more to promote their own work, Booklife steers readers through the bewildering options: -What should authors avoid doing on the Internet? -How does the new paradigm affect authors, readers, and the fundamentals of book publication? -What’s the difference between letting Internet tools use you and having a strategic plan? -How do authors protect their creativity while still advancing their careers? -How do you filter out white noise and find the peace of mind to do good work?Award-winning author, editor, and Web-entrepreneur Jeff VanderMeer shares his twenty-five years of experience to reveal how writers can go about: -Using new media: blogs, Facebook, Twitter, MySpace, YouTube, podcasts, and IM -Effectively networking in the modern era (why it’s not all about you) -Understanding the lifecycle of a book and your role in the publication process -Finding balance between your public and private lives and personas -Creating a brand and identity tied to your strengths and your writing -Working with your publisher: editors, publicists, marketing, and sales -Taking the long view: establishing short- and long-term professional goals -Getting through rejection and understanding the importance of persistence -Enjoying and enhancing your creative process and more

    This practical guide shows you how to design and maintain infrastructure capable of managing the full lifecycle of these implementations.Engineers Justin Garrison (Walt Disney Animation Studios) and Kris Nova (Dies, Inc.) reveal hard-earned lessons on architecting infrastructure for massive scale and best in class monitoring, alerting, and troubleshooting. The authors focus on Cloud Native Computing Foundation projects and explain where each is crucial to managing modern applications.Understand the fundamentals of cloud native application design, and how it differs from traditional application designLearn how cloud native infrastructure is different from traditional infrastructureManage application lifecycles running on cloud native infrastructure, using Kubernetes for application deployment, scaling, and upgradesMonitor cloud native infrastructure and applications, using fluentd for logging and prometheus + graphana for visualizing dataDebug running applications and learn how to trace a distributed application and dig deep into a running system with OpenTracing

    Encompassing a grand sweep of human history, A History of the World in 100 Objects begins with one of the earliest surviving objects made by human hands, a chopping tool from the Olduvai gorge in Africa, and ends with objects which characterise the world we live in today. Seen through MacGregor's eyes, history is a kaleidoscope - shifting, interconnected, constantly surprising, and shaping our world today in ways that most of us have never imagined. A stone pillar tells us about a great Indian emperor preaching tolerance to his people; Spanish pieces of eight tell us about the beginning of a global currency; and an early Victorian tea-set speaks to us about the impact of empire. An intellectual and visual feast, this is one of the most engrossing and unusual history books published in years. 'Brilliant, engagingly written, deeply researched' Mary Beard, Guardian 'A triumph: hugely popular, and rightly lauded as one of the most effective and intellectually ambitious initiatives in the making of 'public history' for many decades' Sunday Telegraph 'Highly intelligent, delightfully written and utterly absorbing ' Timothy Clifford, Spectator 'This is a story book, vivid and witty, shining with insights, connections, shocks and delights' Gillian Reynolds Daily Telegraph

    Headstrong, accomplished journalist Martha Gellhorn is confident with words but less so with men when she meets disheveled literary titan Ernest Hemingway in a dive bar. Their friendship—forged over writing, talk, and family dinners—flourishes into something undeniable in Madrid while they’re covering the Spanish Civil War.Martha reveres him. The very married Hemingway is taken with Martha—her beauty, her ambition, and her fearless spirit. And as Hemingway tells her, the most powerful love stories are always set against the fury of war. The risks are so much greater. They’re made for each other.With their romance unfolding as they travel the globe, Martha establishes herself as one of the world’s foremost war correspondents, and Hemingway begins the novel that will win him the Nobel Prize for Literature. Beautiful Exiles is a stirring story of lovers and rivals, of the breathless attraction to power and fame, and of one woman—ahead of her time—claiming her own identity from the wreckage of love.

    Python is considered easy to learn, but there's no quicker way to mastery of the language than learning from an expert teacher. This edition of "Learning Python" puts you in the hands of two expert teachers, Mark Lutz and David Ascher, whose friendly, well-structured prose has guided many a programmer to proficiency with the language. "Learning Python," Second Edition, offers programmers a comprehensive learning tool for Python and object-oriented programming. Thoroughly updated for the numerous language and class presentation changes that have taken place since the release of the first edition in 1999, this guide introduces the basic elements of the latest release of Python 2.3 and covers new features, such as list comprehensions, nested scopes, and iterators/generators. Beyond language features, this edition of "Learning Python" also includes new context for less-experienced programmers, including fresh overviews of object-oriented programming and dynamic typing, new discussions of program launch and configuration options, new coverage of documentation sources, and more. There are also new use cases throughout to make the application of language features more concrete. The first part of "Learning Python" gives programmers all the information they'll need to understand and construct programs in the Python language, including types, operators, statements, classes, functions, modules and exceptions. The authors then present more advanced material, showing how Python performs common tasks by offering real applications and the libraries available for those applications. Each chapter ends with a series of exercises that will test your Python skills and measure your understanding."Learning Python," Second Edition is a self-paced book that allows readers to focus on the core Python language in depth. As you work through the book, you'll gain a deep and complete understanding of the Python language that will help you to understand the larger application-level examples that you'll encounter on your own. If you're interested in learning Python--and want to do so quickly and efficiently--then "Learning Python," Second Edition is your best choice.

    Algorithms have made our lives more efficient, more entertaining, and, sometimes, better informed. At the same time, complex algorithms are increasingly violating the basic rights of individual citizens. Allegedly anonymized datasets routinely leak our most sensitive personal information; statistical models for everything from mortgages to college admissions reflect racial and gender bias. Meanwhile, users manipulate algorithms to "game" search engines, spam filters, online reviewing services, and navigation apps.Understanding and improving the science behind the algorithms that run our lives is rapidly becoming one of the most pressing issues of this century. Traditional fixes, such as laws, regulations and watchdog groups, have proven woefully inadequate. Reporting from the cutting edge of scientific research, The Ethical Algorithm offers a new approach: a set of principled solutions based on the emerging and exciting science of socially aware algorithm design. Michael Kearns and Aaron Roth explain how we can better embed human principles into machine code - without halting the advance of data-driven scientific exploration. Weaving together innovative research with stories of citizens, scientists, and activists on the front lines, The Ethical Algorithm offers a compelling vision for a future, one in which we can better protect humans from the unintended impacts of algorithms while continuing to inspire wondrous advances in technology.

    

    With an emphasis on improvements and new features in Spark 2.0, authors Bill Chambers and Matei Zaharia break down Spark topics into distinct sections, each with unique goals. You’ll explore the basic operations and common functions of Spark’s structured APIs, as well as Structured Streaming, a new high-level API for building end-to-end streaming applications. Developers and system administrators will learn the fundamentals of monitoring, tuning, and debugging Spark, and explore machine learning techniques and scenarios for employing MLlib, Spark’s scalable machine-learning library. Get a gentle overview of big data and Spark Learn about DataFrames, SQL, and Datasets—Spark’s core APIs—through worked examples Dive into Spark’s low-level APIs, RDDs, and execution of SQL and DataFrames Understand how Spark runs on a cluster Debug, monitor, and tune Spark clusters and applications Learn the power of Structured Streaming, Spark’s stream-processing engine Learn how you can apply MLlib to a variety of problems, including classification or recommendation

    Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach.The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic methods, the book stresses a principled model-based approach, often using the language of graphical models to specify models in a concise and intuitive way. Almost all the models described have been implemented in a MATLAB software package—PMTK (probabilistic modeling toolkit)—that is freely available online. The book is suitable for upper-level undergraduates with an introductory-level college math background and beginning graduate students.

    Kennedy, Groucho Marx, Charles Dickens, Katharine Hepburn, Mick Jagger, Steve Martin, Clementine Churchill, Ray Bradbury, Kurt Vonnegut and many more.