However, data structures for these languages do not always translate well to functional languages such as Standard ML, Haskell, or Scheme. This book describes data structures from the point of view of functional languages, with examples, and presents design techniques that allow programmers to develop their own functional data structures. The author includes both classical data structures, such as red-black trees and binomial queues, and a host of new data structures developed exclusively for functional languages. All source code is given in Standard ML and Haskell, and most of the programs are easily adaptable to other functional languages. This handy reference for professional programmers working with functional languages can also be used as a tutorial or for self-study.

    What failed startups don't have are enough customers.Founders and employees fail to spend time thinking about (and working on) traction in the same way they work on building a product. This shortsighted approach has startups trying random tactics - some ads, a blog post or two - in an unstructured way that's guaranteed to fail. This book changes that. Traction Book provides startup founders and employees with the framework successful companies have used to get traction. It allows you to think about which marketing channels make sense for you, given your industry and company stage. This framework has been used by founders like Jimmy Wales (Wikipedia), Alexis Ohanian (Reddit), Paul English (Kayak.com), and Alex Pachikov (Evernote) to build some of the biggest companies and organizations in the world. We interviewed each of the above founders - along with 35+ others - and pulled out the repeatable tactics and strategies they used to get traction. We then cover every possible marketing channel you can use to get traction, and show you which channels will be your key to growth. This book shows you how to grow at a time when getting traction is more important than ever. Below are the channels we cover in the book:Viral Marketing Public Relations (PR) Unconventional PR Search Engine Marketing (SEM) Social and Display Ads Offline Ads Search Engine Optimization (SEO) Content Marketing Email Marketing Engineering as Marketing Target Market Blogs Business Development (BD) Sales Affiliate Programs Existing Platforms Trade Shows Offline Events Speaking Engagements Community BuildingThis book draws on interviews with the following individuals: Jimmy Wales, Co-founder of Wikipedia Alexis Ohanian, Co-founder of reddit Eric Ries, Author of The Lean Startup Rand Fishkin, Founder of SEOmoz Noah Kagan, Founder of AppSumo Patrick McKenzie, CEO of Bingo Card Creator Sam Yagan, Co-founder of OkCupid Andrew Chen, Investor at 500 Startups Justin Kan, Founder of Justin.tv Mark Cramer, CEO of SurfCanyon Colin Nederkoorn, CEO of Customer.io Jason Cohen, Founder of WP Engine Chris Fralic, Partner at First Round Paul English, CEO of Kayak.com Rob Walling, Founder of MicroConf Brian Riley, Co-founder of SlidePad Steve Welch, Co-founder of DreamIt Jason Kincaid, Blogger at TechCrunch Nikhil Sethi, Founder of Adaptly Rick Perreault, CEO of Unbounce Alex Pachikov, Co-founder of Evernote David Skok, Partner at Matrix Ashish Kundra, CEO of myZamana David Hauser, Founder of Grasshopper Matt Monahan, CEO of Inflection Jeff Atwood, Co-founder of Discourse Dan Martell, CEO of Clarity.fm Chris McCann, Founder of StartupDigest Ryan Holiday, Exec at American Apparel Todd Vollmer, Enterprise Sales Veteran Sandi MacPherson, Founder of Quibb Andrew Warner, Founder of Mixergy Sean Murphy, Founder of SKMurphy Satish Dharmaraj, Partner at Redpoint Garry Tan, Partner at Y Combinator Steve Barsh, CEO of Packlate Michael Bodekaer, Co-founder of Smart Launch Zack Linford, Founder of Optimozo

    The Computer Revolution may be even more life-changing than the Industrial Revolution. We can do things with computers that could never be done before, and computers can do things for us that could never be done before.But our love of computers should not cloud our thinking about their limitations.We are told that computers are smarter than humans and that data mining can identify previously unknown truths, or make discoveries that will revolutionize our lives. Our lives may well be changed, but not necessarily for the better. Computers are very good at discovering patterns, but are uselessin judging whether the unearthed patterns are sensible because computers do not think the way humans think.We fear that super-intelligent machines will decide to protect themselves by enslaving or eliminating humans. But the real danger is not that computers are smarter than us, but that we think computers are smarter than us and, so, trust computers to make important decisions for us.The AI Delusion explains why we should not be intimidated into thinking that computers are infallible, that data-mining is knowledge discovery, and that black boxes should be trusted.

    Today, more and more graphic designers, advertising agencies, motion designers, and artists work in this area. New techniques and forms of expression are being developed. Consequently, the demand for information on this topic has grown enormously. Data Flow 2 expands the definition of contemporary information graphics. The book features new possibilities for diagrams, maps, and charts. It investigates the visual and intuitive presentation of processes, data, and information. Concrete examples of research and art projects as well as commercial work illuminate how techniques such as simplification, abstraction, metaphor, and dramatization function. The book also includes interviews with experts such as The New York Times s Steve Duenes, Infosthetics's Andrew Vande Moere, Visualcomplexity's Manuel Lima, ART+COM's Joachim Sauter, and passionate cartographer Menno-Jan Kraak as well as text features by Johannes Schardt about the challenges in creating effective information graphics and about the relationship between complexity, clarity, content, and innovation. Offering practical advice, background information, case studies, and inspiration, Data Flow 2 is a valuable reference for anyone working with or interested in information graphics.

    This is a ride on the Google wave, and the fullest account of how it formed and crashed into traditional media businesses. With unprecedented access to Google's founders and executives, as well as to those in media who are struggling to keep their heads above water, Ken Auletta reveals how the industry is being disrupted and redefined.Auletta goes inside Google's closed-door meetings, introducing Google's notoriously private founders, Larry Page and Sergey Brin, as well as those who work with - and against - them. In Googled, the reader discovers the 'secret sauce' of the company's success and why the worlds of 'new' and 'old' media often communicate as if residents of different planets. It may send chills down traditionalists' spines, but it's a crucial roadmap to the future of media business: the Google story may well be the canary in the coal mine.Googled is candid, objective and authoritative. Crucially, it's not just a history or reportage: it's ahead of the curve and unlike any other Google books, which tend to have been near-histories, somewhat starstruck, now out of date or which fail to look at the full synthesis of business and technology.

    Readers will progress from building a basic physics engine to creating intelligent moving objects and complex systems, setting the foundation for further experiments in generative design. Subjects covered include forces, trigonometry, fractals, cellular automata, self-organization, and genetic algorithms. The book's examples are written in Processing, an open-source language and development environment built on top of the Java programming language. On the book's website (http://www.natureofcode.com), the examples run in the browser via Processing's JavaScript mode.

    The book's approach interweaves traditional topics with data analysis and reflects the use of the computer with close ties to the practice of statistics. The author stresses analysis of data, examines real problems with real data, and motivates the theory. The book's descriptive statistics, graphical displays, and realistic applications stand in strong contrast to traditional texts which are set in abstract settings.

    Visit the SEO Made Simple (fourth edition) page for more information. http: //www.amazon.com/SEO-Made-Simple-4th-Ed... More Than 30,000 Copies Sold! The original SEO Made Simple: Strategies for Dominating the World's Leading Search Engine, is a tell-all guide for anyone trying to reach the highly coveted #1 ranking on Google for their Web site or Blog. Learn from a leading Webmaster the specific SEO techniques that deliver top rankings in less than 30 days. Whether you're a search engine optimization expert or new to Web site rankings, the techniques revealed in SEO Made Simple will give you everything you need to dominate the leading search engines. Generate tons of traffic to your website absolutely FREE with top search engine placement on Google, Yahoo! and MSN. SEO Made Simple is the only resource on search engine optimization that you'll ever need.

    Using the data they are constantly collecting about where we travel, where we shop, what we buy, and what interests us, they can begin to predict our daily habits, and increasingly we are relinquishing our decision-making to algorithms. Are we giving this up too easily?Without understanding what mathematics can and can't do it is impossible to get a handle on how it is changing our lives. Outnumbered is a journey to the dark side of mathematics, from how it dictates our social media activities to our travel routes. David Sumpter investigates whether mathematics is crossing dangerous lines when it comes to what we can make decisions about.This book will show how math impacts all parts of our lives: from the algorithms that decide whom we interact with to the statistical methods that categorize us as potential criminals. It tests financial algorithms that purport to generate money from nothing, and reveals that we are constantly manipulated by the math used by others, from algorithms choosing the news we hear to automated hospital waiting lists deciding whether we receive treatment.Using interviews with those people working at the cutting edge of mathematical and data research, Outnumbered will explain how math and stats work in the real world, and what we should and shouldn't worry about.

    In order to enable students to apply the basics of data modeling to real models, the book addresses the realities of developing systems in real-world situations by assessing the merits of a variety of possible solutions as well as using language and diagramming methods that represent industry practice.This revised edition has been given significantly expanded coverage and reorganized for greater reader comprehension even as it retains its distinctive hallmarks of readability and usefulness. Beginning with the basics, the book provides a thorough grounding in theory before guiding the reader through the various stages of applied data modeling and database design. Later chapters address advanced subjects, including business rules, data warehousing, enterprise-wide modeling and data management. It includes an entirely new section discussing the development of logical and physical modeling, along with new material describing a powerful technique for model verification. It also provides an excellent resource for additional lectures and exercises.This text is the ideal reference for data modelers, data architects, database designers, DBAs, and systems analysts, as well as undergraduate and graduate-level students looking for a real-world perspective.

    Underlying this trend is a single idea: the belief that our existence is understandable through computation, and more data is enough to help us build a better world.   In actual fact, we are lost in a sea of information, increasingly divided by fundamentalism, simplistic narratives, conspiracy theories, and post-factual politics. Meanwhile, those in power use our lack of understanding to further their own interests. Despite the accessibility of information, we’re living in a new Dark Age.   From rogue financial systems to shopping algorithms, from artificial intelligence to state secrecy, we no longer understand how our world is governed or presented to us. The media is filled with unverifiable speculation, much of it generated by anonymous software, while companies dominate their employees through surveillance and the threat of automation.   In his brilliant new work, leading artist and writer James Bridle excavates the limits of technology and how it aids our understanding of the world. Surveying the history of art, technology, and information systems, he explores the dark clouds that gather over our dreams of the digital sublime.

    But few of us realize just how many oversights, biases, and downright ethical nightmares are baked inside the tech products we use every day. It’s time we change that.In Technically Wrong, Sara Wachter-Boettcher demystifies the tech industry, leaving those of us on the other side of the screen better prepared to make informed choices about the services we use—and to demand more from the companies behind them.

    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.

    Cooper details many of these meta functions to explain his central thesis: programmers need to seriously re-evaluate the many user-hostile concepts deeply embedded within the software development process. Rather than provide users with a straightforward set of options, programmers often pile on the bells and whistles and ignore or de-prioritise lingering bugs. For the average user, increased functionality is a great burden, adding to the recurrent chorus that plays: "computers are hard, mysterious, unwieldy things." (An average user, Cooper asserts, who doesn't think that way or who has memorised all the esoteric commands and now lords it over others, has simply been desensitised by too many years of badly designed software.) Cooper's writing style is often overblown, with a pantheon of cutesy terminology (i.e. "dancing bearware") and insider back-patting. (When presenting software to Bill Gates, he reports that Gates replied: "How did you do that?" to which he writes: "I love stumping Bill!") More seriously, he is also unable to see beyond software development's importance--a sin he accuses programmers of throughout the book. Even with that in mind, the central questions Cooper asks are too important to ignore: Are we making users happier? Are we improving the process by which they get work done? Are we making their work hours more effective? Cooper looks to programmers, business managers and what he calls "interaction designers" to question current assumptions and mindsets. Plainly, he asserts that the goal of computer usage should be "not to make anyone feel stupid." Our distance from that goal reinforces the need to rethink entrenched priorities in software planning. -- Jennifer Buckendorff, Amazon.com

    There are updates throughout the book as well. These take into account important advances in cognitive psychology and the science of design while confirming and extending the book's basic thesis: that a physical symbol system has the necessary and sufficient means for intelligent action. The chapter "Economic Reality" has also been revised to reflect a change in emphasis in Simon's thinking about the respective roles of organizations and markets in economic systems."People sometimes ask me what they should read to find out about artificial intelligence. Herbert Simon's book The Sciences of the Artificial is always on the list I give them. Every page issues a challenge to conventional thinking, and the layman who digests it well will certainly understand what the field of artificial intelligence hopes to accomplish. I recommend it in the same spirit that I recommend Freud to people who ask about psychoanalysis, or Piaget to those who ask about child psychology: If you want to learn about a subject, start by reading its founding fathers." -- George A. Miller