But if one per year is good, how about Seven Languages in Seven Weeks? In this book you'll get a hands-on tour of Clojure, Haskell, Io, Prolog, Scala, Erlang, and Ruby. Whether or not your favorite language is on that list, you'll broaden your perspective of programming by examining these languages side-by-side. You'll learn something new from each, and best of all, you'll learn how to learn a language quickly. Ruby, Io, Prolog, Scala, Erlang, Clojure, Haskell. With Seven Languages in Seven Weeks, by Bruce A. Tate, you'll go beyond the syntax-and beyond the 20-minute tutorial you'll find someplace online. This book has an audacious goal: to present a meaningful exploration of seven languages within a single book. Rather than serve as a complete reference or installation guide, Seven Languages hits what's essential and unique about each language. Moreover, this approach will help teach you how to grok new languages. For each language, you'll solve a nontrivial problem, using techniques that show off the language's most important features. As the book proceeds, you'll discover the strengths and weaknesses of the languages, while dissecting the process of learning languages quickly--for example, finding the typing and programming models, decision structures, and how you interact with them. Among this group of seven, you'll explore the most critical programming models of our time. Learn the dynamic typing that makes Ruby, Python, and Perl so flexible and compelling. Understand the underlying prototype system that's at the heart of JavaScript. See how pattern matching in Prolog shaped the development of Scala and Erlang. Discover how pure functional programming in Haskell is different from the Lisp family of languages, including Clojure. Explore the concurrency techniques that are quickly becoming the backbone of a new generation of Internet applications. Find out how to use Erlang's let-it-crash philosophy for building fault-tolerant systems. Understand the actor model that drives concurrency design in Io and Scala. Learn how Clojure uses versioning to solve some of the most difficult concurrency problems. It's all here, all in one place. Use the concepts from one language to find creative solutions in another-or discover a language that may become one of your favorites.

    I wrote it because I believe we can do better than the accepted "status quo" in the software industry. It took me years to learn what I needed to learn to come up with my version of the #NoEstimates approach. You can do it in weeks! The techniques and ideas described here will help you explore the #NoEstimates universe in a very practical and hands-on manner. You will walk through Carmen's story. Carmen is a senior, very experienced project manager who is now confronted with a very difficult project. One would say, an impossible project. Through the book, and with the help of Herman, Carmen discovers and slowly adopts #NoEstimates which helps her turn that project around. Just like I expect it will help with the project you are in right now. The book also includes many concrete approaches you can use to adopt #NoEstimates, or just adopt those practices on their own.

    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. "

    If you're one of them, The Scrum Field Guide will give you skills and confidence to adopt Scrum more rapidly, more successfully, and with far less pain and fear. Long-time Scrum practitioner Mitch Lacey identifies major challenges associated with early-stage Scrum adoption, as well as deeper issues that emerge after companies have adopted Scrum, and describes how other organizations have overcome them. You'll learn how to gain "quick wins" that build support, and then use the flexibility of Scrum to maximize value creation across the entire process. In 30 brief, engaging chapters, Lacey guides you through everything from defining roles to setting priorities to determining team velocity, choosing a sprint length, and conducting customer reviews. Along the way, he explains why Scrum can seem counterintuitive, offers a solid grounding in the core agile concepts that make it work, and shows where it can (and shouldn't) be modified. Coverage includes Getting teams on board, and bringing new team members aboard after you've started Creating a "definition of done" for the team and organization Implementing the strong technical practices that are indispensable for agile success Balancing predictability and adaptability in release planning Keeping defects in check Running productive daily standup meetings Keeping people engaged with pair programming Managing culture clashes on Scrum teams Performing "emergency procedures" to get sprints back on track Establishing a pace your team can truly sustain Accurately costing projects, and measuring the value they deliver Documenting Scrum projects effectively Prioritizing and estimating large backlogs Integrating outsourced and offshored components Packed with real-world examples from Lacey's own experience, this book is invaluable to everyone transitioning to agile: developers, architects, testers, managers, and project owners alike.

    It then identifies and describes the advantages of this system, which needs less of everything including time, human effort, inventories, and investment to produce products with fewer defects in smaller volumes at lower costs for fragmenting markets. The Machine That Changed the World even gave the system its name: lean.In the decade since its launch in the fall of 1990, The Machine That Changed the World has sold more than 600,000 copies in 11 languages and has introduced a whole generation of managers and engineers to lean thinking. No lean library is complete without this groundbreaking book."The fundamentals of this system are applicable to every industry across the globea[and] will have a profound effect on human society. It will truly change the world." - New York TimesPaperback / 1990 / 323 pages

    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.

    The book covers all roles, rules and the main principles underpinning Scrum, and is based on the Scrum Guide Edition 2013. A broader context to this fundamental description of Scrum is given by describing the past and the future of Scrum. The author, Gunther Verheyen, has created a concise, yet complete and passionate reference about Scrum. The book demonstrates his core view that Scrum is about a journey, a journey of discovery and fun. He designed the book to be a helpful guide on that journey. Ken Schwaber, Scrum co-creator says that this book currently is the best available description of Scrum around. The book combines some rare characteristics: It describes Scrum in its entirety, yet places it in a broader context (of past and future). The author focuses on the subject, Scrum, in a way that it truly supports the reader. The book has a language and style in line with the philosophy of Scrum. The book shows the playfulness of Scrum. David Starr and Ralph Jocham, Professional Scrum trainers and early agile adopters, say that this is the ultimate book to be advised as follow-up book to the students they teach Scrum to and to teams and managers of organizations that they coach Scrum to."

    Designing the Obvious explores the character traits of great Web applications and uses them as guiding principles of application design so the end result of every project instills customer satisfaction and loyalty. These principles include building only whats necessary, getting users up to speed quickly, preventing and handling errors, and designing for the activity. Designing the Obvious does not offer a one-size-fits-all development process—in fact, it lets you use whatever process you like. Instead, it offers practical advice about how to achieve the qualities of great Web-based applications and consistently and successfully reproduce them.

    With this hands-on guide, you'll learn how to write effective, idiomatic Python code by leveraging its best and possibly most neglected features. Author Luciano Ramalho takes you through Python's core language features and libraries, and shows you how to make your code shorter, faster, and more readable at the same time.Many experienced programmers try to bend Python to fit patterns they learned from other languages, and never discover Python features outside of their experience. With this book, those Python programmers will thoroughly learn how to become proficient in Python 3.This book covers:Python data model: understand how special methods are the key to the consistent behavior of objectsData structures: take full advantage of built-in types, and understand the text vs bytes duality in the Unicode ageFunctions as objects: view Python functions as first-class objects, and understand how this affects popular design patternsObject-oriented idioms: build classes by learning about references, mutability, interfaces, operator overloading, and multiple inheritanceControl flow: leverage context managers, generators, coroutines, and concurrency with the concurrent.futures and asyncio packagesMetaprogramming: understand how properties, attribute descriptors, class decorators, and metaclasses work"

    But facing the sea change that AI will bring can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In the face of such uncertainty, many analysts either cower in fear or predict an impossibly sunny future.But in Prediction Machines, three eminent economists recast the rise of AI as a drop in the cost of prediction. With this single, masterful stroke, they lift the curtain on the AI-is-magic hype and show how basic tools from economics provide clarity about the AI revolution and a basis for action by CEOs, managers, policy makers, investors, and entrepreneurs.When AI is framed as cheap prediction, its extraordinary potential becomes clear: Prediction is at the heart of making decisions under uncertainty. Our businesses and personal lives are riddled with such decisions. Prediction tools increase productivity--operating machines, handling documents, communicating with customers. Uncertainty constrains strategy. Better prediction creates opportunities for new business structures and strategies to compete. Penetrating, fun, and always insightful and practical, Prediction Machines follows its inescapable logic to explain how to navigate the changes on the horizon. The impact of AI will be profound, but the economic framework for understanding it is surprisingly simple.

    Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning.The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models.Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.

    Some books try to give you copy-and-paste instructions for how to deal with every single system issue that may arise, but How Linux Works actually shows you how the Linux system functions so that you can come up with your own solutions. After a guided tour of filesystems, the boot sequence, system management basics, and networking, author Brian Ward delves into open-ended topics such as development tools, custom kernels, and buying hardware, all from an administrator's point of view. With a mixture of background theory and real-world examples, this book shows both "how" to administer Linux, and "why" each particular technique works, so that you will know how to make Linux work for you.

    But what if you could have your computer do them for you?In "Automate the Boring Stuff with Python," you'll learn how to use Python to write programs that do in minutes what would take you hours to do by hand no prior programming experience required. Once you've mastered the basics of programming, you'll create Python programs that effortlessly perform useful and impressive feats of automation to: Search for text in a file or across multiple filesCreate, update, move, and rename files and foldersSearch the Web and download online contentUpdate and format data in Excel spreadsheets of any sizeSplit, merge, watermark, and encrypt PDFsSend reminder emails and text notificationsFill out online formsStep-by-step instructions walk you through each program, and practice projects at the end of each chapter challenge you to improve those programs and use your newfound skills to automate similar tasks.Don't spend your time doing work a well-trained monkey could do. Even if you've never written a line of code, you can make your computer do the grunt work. Learn how in "Automate the Boring Stuff with Python.""

    It is written in a conversational tone, doesn't take itself too seriously, and avoids extraneous fluff."- Eric Ries, Author & Creator of the Lean Startup methodology"Get the CustDev book to dive deep into customer interviews and understand how your product can be developed to meet your customers' needs."- Dan Martell, Founder of Flowtown, angel investorCustomer Development is a four-step framework for helping startups discover and validate their customers, product, and go-to-market strategy, developed by Steve Blank and an integral part of Eric Ries' Lean Startup methodology. Focused on the Customer Discovery step, The Entrepreneur's Guide to Customer Development is an easy to follow guide for finding early adopters, building a Minimum Viable Product, finding Product-Market fit, and establishing a sales and marketing roadmap.Deemed a "must-read" by Steve Blank and Eric Ries, inside you will find detailed customer development and lean startup concept definitions, a step-by-step approach to best practices, a business model analysis guide, case studies, rich graphics, as well as worksheets and exercises. No matter the stage of your business, you will return often to this guide to learn how to build a product people want;"get out of the building;" foster strong customer relationships; test business model risk; reach out to early adopters; conduct startup marketing; create a customer funnel based on buyers' process; and prepare your startup to scale up.The Entrepreneur's Guide to Customer Development: A Cheat Sheet to The Four Steps to the Epiphany, affectionately known as the "CustDev book," serves as course text for classes at Stanford University, University of Chicago, Boston University, DePaul University, University of Minnesota and University of Norway."Our UCL (University College London) students love The Entrepreneur's Guide to Customer Development. Thanks to Brant & Patrick for writing this helpful book. "- Dave Chapman, Deputy Head of the Department of Management Science and Innovation at UCL (University College London)"Love it! Required reading for all NYU entrepreneurs."- Frank Rimalovski, Managing Director of NYU Innovation Venture FundThis book is both an introduction for those unfamiliar with lean concepts and highly actionable for lean practitioners. It is a user friendly guide, written to be accessible to marketing professionals, Engineers startup founders and entrepreneurs, VCs, angels, and anyone else involved in building scalable startups.Existing companies will benefit to from applying Customer Development principles described in detail herein: for example, startups struggling to achieve market traction, or well established companies seeking to spark new innovation.This is a business book for startups like no other. No fluff, but rather sound principles and concrete steps to take to build your business. Get up to speed on Customer Development now.

    Womack, Chairman and Founder, Lean Enterprise Institute. This game-changing book puts you behind the curtain of Toyota, providing new insight into the legendary automaker's management practices and offering practical guidance for leading and developing people in a way that makes the best use of their brainpower. Drawing on six years of research into Toyota's employee-management routines, Toyota Kata examines and elucidates, for the first time, the company's organizational routines--called kata--that power its success with continuous improvement and adaptation. The book also reaches beyond Toyota to explain issues of human behavior in organizations and provide specific answers to questions such as: How can we make improvement and adaptation part of everyday work throughout the organization? How can we develop and utilize the capability of everyone in the organization to repeatedly work toward and achieve new levels of performance? How can we give an organization the power to handle dynamic, unpredictable situations and keep satisfying customers? Mike Rother explains how to improve our prevailing management approach through the use of two kata: Improvement Kata--a repeating routine of establishing challenging target conditions, working step-by-step through obstacles, and always learning from the problems we encounter; and Coaching Kata: a pattern of teaching the improvement kata to employees at every level to ensure it motivates their ways of thinking and acting. With clear detail, an abundance of practical examples, and a cohesive explanation from start to finish, Toyota Kata gives executives and managers at any level actionable routines of thought and behavior that produce superior results and sustained competitive advantage.