Kanban leverages visual management techniques to involve stakeholders and to facilitate understanding of how the work works. Through limiting the amount of work in process, and by focusing on finishing that work as soon as possible, kanban helps you to adjust demand to capacity, to reduce lead times and to create a driver for continuous improvement.Kanban in Action is a down-to-earth, no-frills, get-to-know-the-ropes introduction to kanban. It's based on the real-world experience and observations from two kanban coaches who have introduced this process to dozens of teams. In this book, you'll discover basic but powerful techniques on how to visualize and track work, how to construct a kanban board, how to visualize queues and bottlenecks, and much much more. You'll learn the principles of why kanban works as well as nitty-gritty details like how to use different color stickies to help you organize and track your work items.

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

    Now, they build on their message with a bold, iconoclastic strategy for creating the ideal company culture—what they call "the calm company." Their approach directly attack the chaos, anxiety, and stress that plagues millions of workplaces and hampers billions of workers every day.Long hours, an excessive workload, and a lack of sleep have become a badge of honor for modern professionals. But it should be a mark of stupidity, the authors argue. Sadly, this isn’t just a problem for large organizations—individuals, contractors, and solopreneurs are burning themselves out the same way. The answer to better productivity isn’t more hours—it’s less waste and fewer things that induce distraction and persistent stress.It’s time to stop celebrating Crazy, and start celebrating Calm, Fried and Hansson assert.Fried and Hansson have the proof to back up their argument. "Calm" has been the cornerstone of their company’s culture since Basecamp began twenty years ago. Destined to become the management guide for the next generation, It Doesn't Have to Be Crazy at Work is a practical and inspiring distillation of their insights and experiences. It isn’t a book telling you what to do. It’s a book showing you what they’ve done—and how any manager or executive no matter the industry or size of the company, can do it too.

    You will be able to look over the shoulder of major coding and design experts to see problems through their eyes.This is not simply another design patterns book, or another software engineering treatise on the right and wrong way to do things. The authors think aloud as they work through their project's architecture, the tradeoffs made in its construction, and when it was important to break rules. Beautiful Code is an opportunity for master coders to tell their story. All author royalties will be donated to Amnesty International.

    You'll learn pragmatic ways of approaching the development process and your personal coding techniques. You'll learn about your own attitudes, issues with working on a team, and how to best manage your learning, all in an iterative, incremental, agile style. You'll see how to apply each practice, and what benefits you can expect. Bottom line: This book will make you a better developer.

    This authoritative book scrapes away these bad features to reveal a subset of JavaScript that's more reliable, readable, and maintainable than the language as a whole--a subset you can use to create truly extensible and efficient code.Considered the JavaScript expert by many people in the development community, author Douglas Crockford identifies the abundance of good ideas that make JavaScript an outstanding object-oriented programming language-ideas such as functions, loose typing, dynamic objects, and an expressive object literal notation. Unfortunately, these good ideas are mixed in with bad and downright awful ideas, like a programming model based on global variables.When Java applets failed, JavaScript became the language of the Web by default, making its popularity almost completely independent of its qualities as a programming language. In JavaScript: The Good Parts, Crockford finally digs through the steaming pile of good intentions and blunders to give you a detailed look at all the genuinely elegant parts of JavaScript, including:SyntaxObjectsFunctionsInheritanceArraysRegular expressionsMethodsStyleBeautiful featuresThe real beauty? As you move ahead with the subset of JavaScript that this book presents, you'll also sidestep the need to unlearn all the bad parts. Of course, if you want to find out more about the bad parts and how to use them badly, simply consult any other JavaScript book.With JavaScript: The Good Parts, you'll discover a beautiful, elegant, lightweight and highly expressive language that lets you create effective code, whether you're managing object libraries or just trying to get Ajax to run fast. If you develop sites or applications for the Web, this book is an absolute must.

    I loved the tutorial-style game-like program development. This book rekindled my earliest joys of programming. Plus, JavaScript!" —Brendan Eich, creator of JavaScriptJavaScript is the language of the Web, and it's at the heart of every modern website from the lowliest personal blog to the mighty Google Apps. Though it's simple for beginners to pick up and play with, JavaScript is not a toy—it's a flexible and complex language, capable of much more than the showy tricks most programmers use it for.Eloquent JavaScript goes beyond the cut-and-paste scripts of the recipe books and teaches you to write code that's elegant and effective. You'll start with the basics of programming, and learn to use variables, control structures, functions, and data structures. Then you'll dive into the real JavaScript artistry: higher-order functions, closures, and object-oriented programming.Along the way you'll learn to:Master basic programming techniques and best practices Harness the power of functional and object-oriented programming Use regular expressions to quickly parse and manipulate strings Gracefully deal with errors and browser incompatibilities Handle browser events and alter the DOM structure Most importantly, Eloquent JavaScript will teach you to express yourself in code with precision and beauty. After all, great programming is an art, not a science—so why settle for a killer app when you can create a masterpiece?

    It guides you step by step from simple tests to tests that are maintainable, readable, and trustworthy. It covers advanced subjects like mocks, stubs, and frameworks such as Typemock Isolator and Rhino Mocks. And you'll learn about advanced test patterns and organization, working with legacy code and even untestable code. The book discusses tools you need when testing databases and other technologies. It's written for .NET developers but others will also benefit from this book.Purchase of the print book comes with an offer of a free PDF, ePub, and Kindle eBook from Manning. Also available is all code from the book.Table of ContentsThe basics of unit testingA first unit testUsing stubs to break dependenciesInteraction testing using mock objectsIsolation (mock object) frameworksTest hierarchies and organizationThe pillars of good testsIntegrating unit testing into the organizationWorking with legacy code

    Mastering large-scale software delivery will define the economic landscape of the 21st century, just as mass production defined the landscape in the 20th. Unfortunately, business and technology leaders outside of the tech giants are woefully ill-equipped to solve the problems posed by digital transformation. A new approach is needed.In Project to Product, value stream network pioneer and technology leader Dr. Mik Kersten introduces the Flow Framework. This new way of building an infrastructure for innovation will change the way enterprises think about software delivery, enabling every organization the opportunity to win a portion of the $18.5 trillion (IDC) that will be created annually through better software delivery.Project to Product provides leaders the missing framework needed to create the technology equivalent of an advanced manufacturing line, across thousands of IT professionals, and enables optimizing value creation across the entire organization. This book is ideal for C-suite leadership and IT management at every level.

    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.

    The algorithms you'll use most often as a programmer have already been discovered, tested, and proven. If you want to take a hard pass on Knuth's brilliant but impenetrable theories and the dense multi-page proofs you'll find in most textbooks, this is the book for you. This fully-illustrated and engaging guide makes it easy for you to learn how to use algorithms effectively in your own programs.Grokking Algorithms is a disarming take on a core computer science topic. In it, you'll learn how to apply common algorithms to the practical problems you face in day-to-day life as a programmer. You'll start with problems like sorting and searching. As you build up your skills in thinking algorithmically, you'll tackle more complex concerns such as data compression or artificial intelligence. Whether you're writing business software, video games, mobile apps, or system utilities, you'll learn algorithmic techniques for solving problems that you thought were out of your grasp. For example, you'll be able to:Write a spell checker using graph algorithmsUnderstand how data compression works using Huffman codingIdentify problems that take too long to solve with naive algorithms, and attack them with algorithms that give you an approximate answer insteadEach carefully-presented example includes helpful diagrams and fully-annotated code samples in Python. By the end of this book, you will know some of the most widely applicable algorithms as well as how and when to use them.

    The first edition of this book, Programming Perl, hit the shelves in 1990, and was quickly adopted as the undisputed bible of the language. Since then, Perl has grown with the times, and so has this book.Programming Perl is not just a book about Perl. It is also a unique introduction to the language and its culture, as one might expect only from its authors. Larry Wall is the inventor of Perl, and provides a unique perspective on the evolution of Perl and its future direction. Tom Christiansen was one of the first champions of the language, and lives and breathes the complexities of Perl internals as few other mortals do. Jon Orwant is the editor of The Perl Journal, which has brought together the Perl community as a common forum for new developments in Perl.Any Perl book can show the syntax of Perl's functions, but only this one is a comprehensive guide to all the nooks and crannies of the language. Any Perl book can explain typeglobs, pseudohashes, and closures, but only this one shows how they really work. Any Perl book can say that my is faster than local, but only this one explains why. Any Perl book can have a title, but only this book is affectionately known by all Perl programmers as "The Camel."This third edition of Programming Perl has been expanded to cover version 5.6 of this maturing language. New topics include threading, the compiler, Unicode, and other new features that have been added since the previous edition.

    Visible Ops is comprised of four prescriptive and self-fueling steps that take an organization from any starting point to a continually improving process. MAKING ITIL ACTIONABLE Although the Information Technology Infrastructure Library (ITIL) provides a wealth of best practices, it lacks prescriptive guidance: What do you implement first, and how do you do it? Moreover, the ITIL books remain relatively expensive to distribute. Other information, publicly available from a variety of sources, is too general and vague to effectively aid organizations that need to start or enhance process improvement efforts. The Visible Ops booklet provides a prescriptive roadmap for organizations beginning or continuing their IT process improvement journey. WHY DO WE NEED VISIBLE OPS? The Visible Ops methodology was developed because there was not a satisfactory answer to the question: "I believe in the need for IT process improvement, but where do I start?" Since 2000, Gene Kim and Kevin Behr have met with hundreds of IT organizations and identified eight high-performing IT organizations with the highest service levels, best security, and best efficiencies. For years, they studied these high-performing organizations to figure out the secrets to their success. Visible Ops codifies how these organizations achieved their transformation from good to great, showing how interested organizations can replicate the key processes of these high-performing organizations in just four steps: 1. Stabilize Patient, Modify First Response - Almost 80% of outages are self-inflicted. The first step is to control risky changes and reduce MTTR by addressing how changes are managed and how problems are resolved. 2. Catch and Release, Find Fragile Artifacts - Often, infrastructure exists that cannot be repeatedly replicated. In this step, we inventory assets, configurations and services, to identify those with the lowest change success rates, highest MTTR and highest business downtime costs. 3. Establish Repeatable Build Library - The highest return on investment is implementing effective release management processes. This step creates repeatable builds for the most critical assets and services, to make it "cheaper to rebuild than to repair." 4. Enable Continuous Improvement - The previous steps have progressively built a closed-loop between the Release, Control and Resolution processes. This step implements metrics to allow continuous improvement of all of these process areas, to best ensure that business objectives are met.

    Getting actions out of a retrospective that are doable, and getting them done helps teams to learn and improve. We hope that this book helps you and your teams to do retrospectives effectively and efficiently to reflect upon your ways of working, and continuously improve them!

    This long-awaited revision contains changes throughout the text. There are new implementations of most of the major programming systems in the book, including the interpreters and compilers, and the authors have incorporated many small changes that reflect their experience teaching the course at MIT since the first edition was published. A new theme has been introduced that emphasizes the central role played by different approaches to dealing with time in computational models: objects with state, concurrent programming, functional programming and lazy evaluation, and nondeterministic programming. There are new example sections on higher-order procedures in graphics and on applications of stream processing in numerical programming, and many new exercises. In addition, all the programs have been reworked to run in any Scheme implementation that adheres to the IEEE standard.