Recommendations based on "Lost and Founder: A Painfully Honest Field Guide to the Startup World"

“Absolutely brilliant. Clayton Christensen provides an insightful analysis of changing technology and its importance to a company’s future success.”—Michael R. Bloomberg“This book ought to chill any executive who feels bulletproof —and inspire entrepreneurs aiming their guns.”—ForbesThe Innovator’s Dilemma is the revolutionary business book that has forever changed corporate America. Based on a truly radical idea—that great companies can fail precisely because they do everything right—this Wall Street Journal, Business Week and New York Times Business bestseller is one of the most provocative and important business books ever written. Entrepreneurs, managers, and CEOs ignore its wisdom and its warnings at their great peril.

How do I start a business on a budget? How do I find my first 100 customers and make my first £100k? How do I build a network and get my business noticed?

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.

In The Software Craftsman, Sandro Mancuso explains what craftsmanship means to the developer and his or her organization, and shows how to live it every day in your real-world development environment. Mancuso shows how software craftsmanship fits with and helps students improve upon best-practice technical disciplines such as agile and lean, taking all development projects to the next level. Readers will learn how to change the disastrous perception that software developers are the same as factory workers, and that software projects can be run like factories.

How to Write Code You're Proud of . . . Every Single Day". . . [A] timely and humble reminder of the ever-increasing complexity of our programmatic world and how we owe it to the legacy of humankind--and to ourselves--to practice ethical development. Take your time reading Clean Craftsmanship. . . . Keep this book on your go-to bookshelf. Let this book be your old friend--your Uncle Bob, your guide--as you make your way through this world with curiosity and courage."--From the Foreword by Stacia Heimgartner Viscardi, CST & Agile MentorIn Clean Craftsmanship, the legendary Robert C. Martin ("Uncle Bob") has written the principles that define the profession--and the craft--of software development. Uncle Bob brings together the disciplines, standards, and ethics you need to deliver robust, effective code and to be proud of all the software you write.Robert Martin, the best-selling author of Clean Code, provides a pragmatic, technical, and prescriptive guide to the foundational disciplines of software craftsmanship. He discusses standards, showing how the world's expectations of developers often differ from their own and helping you bring the two in sync. Bob concludes with the ethics of the programming profession, describing the fundamental promises all developers should make to their colleagues, their users, and, above all, themselves.With Uncle Bob's insights, all programmers and their managers can consistently deliver code that builds trust instead of undermining it--trust among users and throughout societies that depend on software for their survival.Moving towards the "north star" of true software craftsmanship: the state of knowing how to program wellPractical, specific guidance for applying five core disciplines: test-driven development, refactoring, simple design,collaborative programming, and acceptance testsHow developers and teams can promote productivity, quality, and courageThe true meaning of integrity and teamwork among programmers, and ten specific commitments every software professional should makeRegister your book for convenient access to the book's companion videos, updates, and/or corrections as they become available. See inside book for details.

How to Reduce Code Complexity and Develop Software More Sustainably"Mark Seemann is well known for explaining complex concepts clearly and thoroughly. In this book he condenses his wide-ranging software development experience into a set of practical, pragmatic techniques for writing sustainable and human-friendly code. This book will be a must-read for every programmer."Scott Wlaschin, author of Domain Modeling Made FunctionalCode That Fits in Your Head offers indispensable, practical advice for writing code at a sustainable pace and controlling the complexity that causes projects to spin out of control. Reflecting decades of experience helping software teams succeed, Mark Seemann guides students from zero (no code) to deployed features and shows how to maintain a good cruising speed as they add functionality, address cross-cutting concerns, troubleshoot, and optimize. They'll find valuable ideas, practices, and processes for key issues ranging from checklists to teamwork, encapsulation to decomposition, API design to unit testing. Seemann illuminates his insights with code examples drawn from a complete sample project. Written in C#, they're designed to be clear and useful to anyone who uses any object-oriented language including Java , C++, and Python. To facilitate deeper exploration, all code and extensive commit messages are available for download.Choose mindsets and processes that work, and escape bad metaphors that don'tUse checklists to improve outcomes with skills already possessedGet past analysis paralysis by creating and deploying a vertical slice to an applicationCounteract forces that lead to code rot and unnecessary complexityMaster better techniques for changing code behaviorDiscover ways to solve code problems more quickly and effectivelyThink more productively about performance and securityRegister your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

Building Distinctive Brand Assets is for anyone with a brand logo, font or colour scheme, and is essential reading for those who have wondered if (or have been told) it's time for a change. Readers will learn how to set up a long-term strategy to build a strong brand identity, and how to make use of knowledge, metrics and management systems in order to build and protect a brand's Distinctive Assets. Building Distinctive Brand Assets is divided into three sections that capture the processes involved in brand asset creation, implementation and ongoing management. The first section is focuses on strategy, and covers how Distinctive Assets are created and their role in a broader brand equity building. The second section covers measurement approaches, and how to use and interpret key metrics. The third section delves into the strengths and weaknesses of different types of assets and introduces the idea of a Distinctive Asset palette. This section also outlines how to set up a Distinctive Asset management system to provide an early warning system to identify potential threats before they evolve into major issues.

“Bernstein has become a guru to a peculiarly ’90s group: well-educated, Internet-powered people intent on investing well—and with minimal ‘help’ from professional Wall Street.”--Robert Barker, BusinessWeek William Bernstein is one of today’s most unlikely financial heroes. A practicing neurologist, he used his self-taught investment knowledge and research to build a popular investor’s website. Now, in the plain-spoken The Intelligent Asset Allocator, he shows independent investors how to build a diversified portfolio—without the help of a financial advisor. A breath of fresh air for investors tired of overly technical investment tomes, this book will help investors: Learn the risk/reward characteristics of various investment types Understand and apply portfolio theory for an improved risk/reward ratio Sharpen their focus, and take control of their investment programs William Bernstein runs a website—www.efficientfrontier.com—known for its quarterly journal of asset allocation and portfolio theory, Efficient Frontier.

An accessible introduction and essential reference for an approach to machine learning that creates highly accurate prediction rules by combining many weak and inaccurate ones. Boosting is an approach to machine learning based on the idea of creating a highly accurate predictor by combining many weak and inaccurate "rules of thumb." A remarkably rich theory has evolved around boosting, with connections to a range of topics, including statistics, game theory, convex optimization, and information geometry. Boosting algorithms have also enjoyed practical success in such fields as biology, vision, and speech processing. At various times in its history, boosting has been perceived as mysterious, controversial, even paradoxical. This book, written by the inventors of the method, brings together, organizes, simplifies, and substantially extends two decades of research on boosting, presenting both theory and applications in a way that is accessible to readers from diverse backgrounds while also providing an authoritative reference for advanced researchers. With its introductory treatment of all material and its inclusion of exercises in every chapter, the book is appropriate for course use as well. The book begins with a general introduction to machine learning algorithms and their analysis; then explores the core theory of boosting, especially its ability to generalize; examines some of the myriad other theoretical viewpoints that help to explain and understand boosting; provides practical extensions of boosting for more complex learning problems; and finally presents a number of advanced theoretical topics. Numerous applications and practical illustrations are offered throughout.