When inexperienced entrepreneurs ask my advice about their idea for a tech startup, they often worry "What if Google decides to compete with us? They will crush us!" I respond that far more startups die of suicide than homicide. If you can avoid hurting yourself, then you are already better off than most of your competitors. Startups are a chance to build something entirely original with brilliant and ambitious people. But startups are also dangerous. Limited money means there is little room for mistakes. One bad decision can mean bankruptcy. The potential payoff attracts capital, which in turn attracts scam artists. The unscrupulous often lack the skills needed to succeed, but sometimes they are smart enough to trick investors. Even entrepreneurs who start with a strong moral compass can find that the threat of failure unmoors their ethics from their ambition. Emotions matter. We might hope that those in leadership positions possess strength and resilience, but vanity and fragile egos have sabotaged many of the businesses that I’ve worked with. Defeat is always a possibility, and not everyone finds healthy ways to deal with the stress. In this book I offer both advice and also warnings. I've seen certain self-destructive patterns play out again and again, so I wanted to document one of the most extreme cases that I've witnessed. In 2015 I worked for a startup that began with an ingenious idea: to use the software techniques known as Natural Language Processing to allow people to interact with databases by writing ordinary English sentences. This was a multi-billion dollar idea that could have transformed the way people gathered and used information. However, the venture had inexperienced leadership. They burned through their $1.3 million seed money. As their resources dwindled, their confidence transformed into doubt, which was aggravated by edicts from the Board Of Directors ordering sudden changes that effectively threw away weeks' worth of work. Every startup forces its participants into extreme positions, often regarding budget and deadlines. Often these situations are absurd to the point of parody. Therefore, there is considerable humor in this story. The collision of inexperience and desperation gives rise to moments that are simply silly. I tell this story in a day-to-day format, both to capture the early optimism, and then the later sense of panic. Here then, is a cautionary tale, a warning about tendencies that everyone joining a startup should be on guard against."

    In Domain-Specific Languages , noted software development expert Martin Fowler first provides the information software professionals need to decide if and when to utilize DSLs. Then, where DSLs prove suitable, Fowler presents effective techniques for building them, and guides software engineers in choosing the right approaches for their applications. This book's techniques may be utilized with most modern object-oriented languages; the author provides numerous examples in Java and C#, as well as selected examples in Ruby. Wherever possible, chapters are organized to be self-standing, and most reference topics are presented in a familiar patterns format. Armed with this wide-ranging book, developers will have the knowledge they need to make important decisions about DSLs--and, where appropriate, gain the significant technical and business benefits they offer. The topics covered include: - How DSLs compare to frameworks and libraries, and when those alternatives are sufficient - Using parsers and parser generators, and parsing external DSLs - Understanding, comparing, and choosing DSL language constructs - Determining whether to use code generation, and comparing code generation strategies - Previewing new language workbench tools for creating DSLs

    The long-anticipated revision of this best-selling text offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence. *NEW-Nontechnical learning material-Accompanies each part of the book. *NEW-The Internet as a sample application for intelligent systems-Added in several places including logical agents, planning, and natural language. *NEW-Increased coverage of material - Includes expanded coverage of: default reasoning and truth maintenance systems, including multi-agent/distributed AI and game theory; probabilistic approaches to learning including EM; more detailed descriptions of probabilistic inference algorithms. *NEW-Updated and expanded exercises-75% of the exercises are revised, with 100 new exercises. *NEW-On-line Java software. *Makes it easy for students to do projects on the web using intelligent agents. *A unified, agent-based approach to AI-Organizes the material around the task of building intelligent agents. *Comprehensive, up-to-date coverage-Includes a unified view of the field organized around the rational decision making pa

    Edited by the Sustainability Institute’s Diana Wright, this essential primer brings systems thinking out of the realm of computers and equations and into the tangible world, showing readers how to develop the systems-thinking skills that thought leaders across the globe consider critical for 21st-century life.Some of the biggest problems facing the world—war, hunger, poverty, and environmental degradation—are essentially system failures. They cannot be solved by fixing one piece in isolation from the others, because even seemingly minor details have enormous power to undermine the best efforts of too-narrow thinking.While readers will learn the conceptual tools and methods of systems thinking, the heart of the book is grander than methodology. Donella Meadows was known as much for nurturing positive outcomes as she was for delving into the science behind global dilemmas. She reminds readers to pay attention to what is important, not just what is quantifiable, to stay humble, and to stay a learner.In a world growing ever more complicated, crowded, and interdependent, Thinking in Systems helps readers avoid confusion and helplessness, the first step toward finding proactive and effective solutions.

    It focuses on how project management is integral to the organization as a whole. The 5th edition reflects the latest changes found in the practice. Other texts discuss the topics covered in this text but they do not view oversight as the project manager's operating environment, as does Larson/Gray. Resumes of managers will soon be primarily a description of participation in and contributions to projects.

    Hardcover published by Quadragle/The New York Times Book Co., third printing, August 1977, copyright 1975.

    The Lean Startup movement is very promising, but for many teams it ends up translating into an important question: ”Yeah, but what to build ?” “In ThoughtWorks, our response has been a process called an inception. We gather together a good sample of the people who will be affected by the product and have an intensive session to set an initial direction, using a series of exercises focusing on collaboration and the capture of broad goals. We don't attempt a detailed specification, as that is exactly the kind of thing that becomes out of date as soon as code hits production. But we do want to understand what kind of outcomes we are hoping for, the features that we think will drive these outcomes, and how to assess the effectiveness of our product. With The Lean Inception, Paulo has captured his experience in running these inceptions over the last decade. In particular it's focused on his work to boil the inception down to its essence, concentrating the activity on a single, if very intensive, week of work. Paulo shares how he makes this work, through writing a product vision, capturing personas, understanding the user journeys, and developing high-level features. The result isn't a detailed plan of work, which we find quickly rots into irrelevance. It is a guiding set of goals to set us off in the right direction. It doesn't plan out a final product, with all the features that our users will need, instead it focuses on an initial product that we can release and learn from - the Minimum Viable Product. “ – Martin Fowler, Chief Cientist at ThoughtWorks

    With Step By Step, you set the pace-building and practicing the skills you need, just when you need them! Topics include building a project plan and fine-tuning the details; scheduling tasks, assigning resources, and managing dependencies; monitoring progress and costs; keeping projects on track; communicating project data through Gantt charts and other views.

    NOTE: this Alpha Edition is missing some chapters and may contain errors. See http://saasbook.info for details.

    Methodologies Aren't Enough2. Ambiguity in Stating Requirements3. Sources of Ambiguity4. The Tried but Untrue Use of Direct QuestionsPart II: Ways to Get Started5. Starting Points6. Context-Free Questions7. Getting the Right People Involved8. Making Meetings Work for Everybody9. Reducing Ambiguity from Start to FinishPart III: Exploring the Possibilities10. Idea-Generation Meetings11. Right-Brain Methods12. The Project's Name13. Facilitating in the Face of ConflictPart IV: Clarifying Expectations14. Functions15. Attributes16. Constraints17. Preferences18. ExpectationsPart V: Greatly Improving the Odds of Success19. Ambiguity Metrics20. Technical Reviews21. Measuring Satisfaction22. Test Cases23. Studying Existing Products24. Making Agreements25. EndingBibliographyIndex

    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.

    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.

    When Ruby first burst onto the scene in the Western world, the Pragmatic Programmers were there with the definitive reference manual, Programming Ruby: The Pragmatic Programmer's Guide.Now in its second edition, author Dave Thomas has expanded the famous Pickaxe book with over 200 pages of new content, covering all the improved language features of Ruby 1.8 and standard library modules. The Pickaxe contains four major sections:An acclaimed tutorial on using Ruby.The definitive reference to the language.Complete documentation on all built-in classes, modules, and methodsComplete descriptions of all 98 standard libraries.If you enjoyed the First Edition, you'll appreciate the expanded content, including enhanced coverage of installation, packaging, documenting Ruby source code, threading and synchronization, and enhancing Ruby's capabilities using C-language extensions. Programming for the World Wide Web is easy in Ruby, with new chapters on XML/RPC, SOAP, distributed Ruby, templating systems, and other web services. There's even a new chapter on unit testing.This is the definitive reference manual for Ruby, including a description of all the standard library modules, a complete reference to all built-in classes and modules (including more than 250 significant changes since the First Edition). Coverage of other features has grown tremendously, including details on how to harness the sophisticated capabilities of irb, so you can dynamically examine and experiment with your running code. Ruby is a wonderfully powerful and useful language, and whenever I'm working with it this book is at my side --Martin Fowler, Chief Scientist, ThoughtWorks

    What’s tomorrow’s weather? Is the flight on time? Where’s the nearest store, and is this product cheaper there? Whatever the question, the answer is on the phone. This Pavlovian response is the mobile mind shift — the expectation that I can get what I want, anytime, in my immediate context. Your new battleground for customers is this mobile moment — the instant in which your customer is seeking an answer. If you’re there for them, they’ll love you; if you’re not, you’ll lose their business. Both entrepreneurial companies like Dropbox and huge corporations like Nestlé are winning in that mobile moment. Are you?Based on 200 interviews with entrepreneurs and major companies across the globe, The Mobile Mind Shift is the first book to explain how you can exploit mobile moments. You’ll learn how to:•    Find your customer’s most powerful mobile moments with a mobile moment audit.•    Master the IDEA Cycle, the business discipline for exploiting mobile. Align your business and technology teams in four steps: Identify, Design, Engineer, Analyze.•    Manufacture mobile moments as Krispy Kreme does — it sends a push notification when hot doughnuts are ready near you. Result: 500,000 app downloads, followed by a double-digit increase in same-store sales.•    Turn one-time product sales into ongoing services and engagement, as the Nest thermostat does. And master new business models, as Philips and Uber do. Find ways to charge more and create indelible customer loyalty.•    Transform your technology into systems of engagement. Engineer your business and technology systems to meet the ever-expanding demands of mobile. It’s how Dish Network not only increased the efficiency of its installers but also created new on-the-spot upsell opportunities.Mobile is rapidly shifting your customers into a new way of thinking. You’ll need your own mobile mind shift to respond.

    It presents a learning journey, not definitive guidance. It describes the experiences of a development team with no prior CQRS proficiency in building, deploying (to Windows Azure), and maintaining a sample real-world, complex, enterprise system to showcase various CQRS and ES concepts, challenges, and techniques.The development team did not work in isolation; we actively sought input from industry experts and from a wide group of advisors to ensure that the guidance is both detailed and practical.The CQRS pattern and event sourcing are not mere simplistic solutions to the problems associated with large-scale, distributed systems. By providing you with both a working application and written guidance, we expect you’ll be well prepared to embark on your own CQRS journey.