Famous Software Quotes

The founders of start-ups as varied as YouTube, Palantir Technologies, and Yelp all worked at PayPal. Another set of people—including Reid Hoffman, Thiel, and Botha—emerged as some of the technology industry’s top investors. PayPal staff pioneered techniques in fighting online fraud that have formed the basis of software used by the CIA and FBI to track terrorists and of software used by the world’s largest banks to combat crime. This collection of super-bright employees has become known as the PayPal Mafia—more or less the current ruling class of Silicon Valley—and Musk is its most famous and successful member.

The approach to digital culture I abhor would indeed turn all the world's books into one book, just as Kevin (Kelly) suggested. It might start to happen in the next decade or so. Google and other companies are scanning library books into the cloud in a massive Manhattan Project of cultural digitization. What happens next is what's important. If the books in the cloud are accessed via user interfaces that encourage mashups of fragments that obscure the context and authorship of each fragment, there will be only one book. This is what happens today with a lot of content; often you don't know where a quoted fragment from a news story came from, who wrote a comment, or who shot a video. A continuation of the present trend will make us like various medieval religious empires, or like North Korea, a society with a single book. The Bible can serve as a prototypical example. Like Wikipedia, the Bible's authorship was shared, largely anonymous, and cumulative, and the obscurity of the individual authors served to create an oracle-like ambience for the document as "the literal word of God." If we take a non-metaphysical view of the Bible, it serves as a link to our ancestors, a window. The ethereal, digital replacement technology for the printing press happens to have come of age in a time when the unfortunate ideology I'm criticizing dominates technological culture. Authorship - the very idea of the individual point of view - is not a priority of the new ideology. The digital flattening of expression into a global mush is not presently enforced from the top down, as it is in the case of a North Korean printing press. Instead, the design of software builds the ideology into those actions that are the easiest to perform on the software designs that are becoming ubiquitous. It is true that by using these tools, individuals can author books or blogs or whatever, but people are encouraged by the economics of free content, crowd dynamics, and lord aggregators to serve up fragments instead of considered whole expressions or arguments. The efforts of authors are appreciated in a manner that erases the boundaries between them. The one collective book will absolutely not be the same thing as the library of books by individuals it is bankrupting. Some believe it will be better; others, including me, believe it will be disastrously worse. As the famous line goes from Inherit the Wind: 'The Bible is a book... but it is not the only book' Any singular, exclusive book, even the collective one accumulating in the cloud, will become a cruel book if it is the only one available.

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What is WordPress? WordPress is an online, open source website creation tool written in PHP. But in non-geek speak, it’s probably the easiest and most powerful blogging and website content management system (or CMS) in existence today. Many famous blogs, news outlets, music sites, Fortune 500 companies and celebrities are using WordPress. WordPress is web software you can use to create a beautiful website, blog, or app. We like to say that WordPress is both free and priceless at the same time. There are thousands of plugins and themes available to transform your site into almost anything you can imagine. WordPress started in 2003 with a single bit of code to enhance the typography of everyday writing and with fewer users than you can count on your fingers and toes. Since then it has grown to be the largest self-hosted blogging tool in the world, used on millions of sites and seen by tens of millions of people every day. You can download and install a software script called WordPress from wordpress.org. To do this you need a web host who meets the minimum requirements and a little time. WordPress is completely customizable and can be used for almost anything. There is also a servicecalled WordPress.com. WordPress users may install and switch between different themes. Themes allow users to change the look and functionality of a WordPress website and they can be installed without altering the content or health of the site. Every WordPress website requires at least one theme to be present and every theme should be designed using WordPress standards with structured PHP, valid HTML and Cascading Style Sheets (CSS). Themes: WordPress is definitely the world’s most popular CMS. The script is in its roots more of a blog than a typical CMS. For a while now it’s been modernized and it got thousands of plugins, what made it more CMS-like. WordPress does not require PHP nor HTML knowledge unlinke Drupal, Joomla or Typo3. A preinstalled plugin and template function allows them to be installed very easily. All you need to do is to choose a plugin or a template and click on it to install. It’s good choice for beginners. Plugins: WordPress’s plugin architecture allows users to extend the features and functionality of a website or blog. WordPress has over 40,501 plugins available. Each of which offers custom functions and features enabling users to tailor their sites to their specific needs. WordPress menu management has extended functionalities that can be modified to include categories, pages, etc. If you like this post then please share and like this post. To learn more About website design in wordpress You can visit @ tririd.com Call us @ 8980010210

A famous British writer is revealed to be the author of an obscure mystery novel. An immigrant is granted asylum when authorities verify he wrote anonymous articles critical of his home country. And a man is convicted of murder when he’s connected to messages painted at the crime scene. The common element in these seemingly disparate cases is “forensic linguistics”—an investigative technique that helps experts determine authorship by identifying quirks in a writer’s style. Advances in computer technology can now parse text with ever-finer accuracy. Consider the recent outing of Harry Potter author J.K. Rowling as the writer of The Cuckoo’s Calling , a crime novel she published under the pen name Robert Galbraith. England’s Sunday Times , responding to an anonymous tip that Rowling was the book’s real author, hired Duquesne University’s Patrick Juola to analyze the text of Cuckoo , using software that he had spent over a decade refining. One of Juola’s tests examined sequences of adjacent words, while another zoomed in on sequences of characters; a third test tallied the most common words, while a fourth examined the author’s preference for long or short words. Juola wound up with a linguistic fingerprint—hard data on the author’s stylistic quirks. He then ran the same tests on four other books: The Casual Vacancy , Rowling’s first post-Harry Potter novel, plus three stylistically similar crime novels by other female writers. Juola concluded that Rowling was the most likely author of The Cuckoo’s Calling , since she was the only one whose writing style showed up as the closest or second-closest match in each of the tests. After consulting an Oxford linguist and receiving a concurring opinion, the newspaper confronted Rowling, who confessed. Juola completed his analysis in about half an hour. By contrast, in the early 1960s, it had taken a team of two statisticians—using what was then a state-of-the-art, high-speed computer at MIT—three years to complete a project to reveal who wrote 12 unsigned Federalist Papers. Robert Leonard, who heads the forensic linguistics program at Hofstra University, has also made a career out of determining authorship. Certified to serve as an expert witness in 13 states, he has presented evidence in cases such as that of Christopher Coleman, who was arrested in 2009 for murdering his family in Waterloo, Illinois. Leonard testified that Coleman’s writing style matched threats spray-painted at his family’s home (photo, left). Coleman was convicted and is serving a life sentence. Since forensic linguists deal in probabilities, not certainties, it is all the more essential to further refine this field of study, experts say. “There have been cases where it was my impression that the evidence on which people were freed or convicted was iffy in one way or another,” says Edward Finegan, president of the International Association of Forensic Linguists. Vanderbilt law professor Edward Cheng, an expert on the reliability of forensic evidence, says that linguistic analysis is best used when only a handful of people could have written a given text. As forensic linguistics continues to make headlines, criminals may realize the importance of choosing their words carefully. And some worry that software also can be used to obscure distinctive written styles. “Anything that you can identify to analyze,” says Juola, “I can identify and try to hide.

There’s a famous old quote about writing maintainable software: Always code as if the guy who ends up maintaining your code will be a violent psychopath who knows where you live. --John Woods comp.lang.c++

There was support for Immelt’s foray into software in the traditionally gritty industrial world. Marc Andreessen famously wrote in 2011 that “software is eating the world,” meaning that it was transforming and disrupting businesses and sectors throughout the economy. But the widespread innovation, he noted, wouldn’t be as destructive for certain companies. “In some industries, particularly those with a heavy real-world component such as oil and gas, the software revolution is primarily an opportunity for incumbents,” he wrote. “Over the next 10 years, the battles between incumbents and software-powered insurgents will be epic.” GE

How did Facebook successfully overcome the growth limiter of operational scalability? On the technology side, one of the philosophies that helped Facebook become successful was its famous motto “Move fast and break things.” This emphasis on speed, which came directly from Mark Zuckerberg, allowed Facebook to achieve rapid product development and continuous product improvement. Even today, every new software engineer who joins Facebook is asked to make a revision to the Facebook codebase (potentially affecting millions or even billions of users) on his or her first day of work. However, as Facebook’s user base and engineering team grew to a massive size, Mark had to change the philosophy to “Move fast and break things with stable infrastructure.

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Software can have serious bugs and still be wildly successful. Lotus 1-2-3 famously mistook 1900 for a leap year, but it was so popular that versions of Excel to this day have to be programmed to honor that mistake to ensure backward compatibility. And because Excel’s popularity ultimately dwarfed that of Lotus 1-2-3, the bug is now part of the ECMA Office Open XML specification.

Python is a mainstream programming language that is commonly used to solve cognitive and mathematical problems. Many Python modules and useful Python libraries, such as IPython, Pandas, SciPy, and others, are most commonly used for these tasks. Usage of Business Applications Python is used by many engineers to assemble and maintain their commercial programs or apps. Python is used by many designers to maintain their web-based company sites. An application that runs on the console Python can be used to create help-based software. IPython, for example, can be used to create a variety of support-based applications. Audio or Video-based Application Programming Python is an excellent programming language for a variety of video and audio projects. Python is used by many professionals to create a variety of media applications. You can do this with the help of cplay, another Python compiler. 3D based Computer-Aided Drafting Applications Python is used by many designers to create 3D-based Computer-Aided Drafting systems. Fandango is a very useful Python-based application that allows you to see all of the capabilities of CAD to expand these types of applications. Applications for Business Python is used by many Python experts to create a variety of apps that can be used in a business. Tryton and Picalo are the most famous applications in this regard.

Famous sales coach and dear friend Jack Daly suggests, “Why don’t you throw people a party when they start, instead of when they leave?” Sydney-based software firm Atlassian sends each new employee, whatever his or her position, to a resort spa the weekend before the start date as a way to celebrate the new job. The spouse or a guest gets to go along — making both new employees and their spouses raving Atlassian fans.

Indeed, Lao-Tse's famous paradox, "The largest is within the smallest" only begins to make sense to an Occidental after she or he has understood what non-local information means in modern physics.

Thus, the EWG crowd claims that Copenhagenism violates Occam's economy by postulating a universe magically created by human thought. Because of the "is of identity" some Copenhagenists have actually gone that far. This led to Einstein's famous sarcasm that every time a mouse looks at the universe the universe must change; and Dr. Fred Allan Wolf has solemnly replied that the cells in the mouse's brain number so few that all the changes caused by all mouse observations total very, very little more than 0% and hence we can ignore them. I think Copenhagenism, as expressed in this book, without the "is of identity" evades the above criticism. (We will shortly ponder whether another alternative, hidden variable theories, can similarly evade the EWG criticism when restated without the "is of identity.")

Consider this simple parallelism: a husband and wife come to a marriage counselor seeking help. He tells one story about their problems. She tells quite a different story. The counselor, if well-trained and sophisticated, does not believe either party completely. Elsewhere in the same city, two physics students repeat two famous experiments. The first experiment seems to indicate that light travels in waves. The second seems to indicate that light travels in discrete particles. The students, if well-trained and sophisticated, do not believe either result. The psychologist, you see, knows that each nervous system creates its own model of the world, and the physics students of today know that each instrument also creates its own model of the world. Both in psychology and in physics we have outgrown medieval Aristotelian notions of "objective reality" and entered a non-Aristotelian realm, although in both fields we still remain unsure (and quick to quarrel with each other) about what new paradigm will replace the Aristotelian true/false paradigm of past centuries.

...by the late 2000s, it seemed like a sucker's bet to try to make a living as an inventor in the classic sense, by creating useful and original things... the country's most famous inventors were inventing things of dubious merit, generating enormous wealth for a few by hawking gadgets to the many. In the San Francisco Bay Area, as America's coal-fired power plants continued to soak the atmosphere with gunk, as dysfunction snarled Congress and the roads and bridges chipped and cracked, as twelve million searched in vain for jobs and the economies of entire towns ran on food stamps, the best and brightest trilled about the awesomeness of their smartphone apps. Twitter, Facebook, Instagram, Angry Birds, Summly, Wavii: software to entertain, encapsulate, package, distract. Silicon Valley: a place that has made many useful things and created enormous wealth and transformed the way we live and where many are now working to build a virtual social layer atop the real corroding world.

Apple is famous for not having product managers who throw product specs over the wall. Developers are given problems and can solve them however they think is best—the essence of the Ask Your Developer methodology. The result of that trust in developers is that Apple produces beautiful software, which in turn has led to its incredible success in the market.

This equivalence wasn’t discovered until the 1930s, most notably by Claude Elwood Shannon (born 1916), whose famous 1938 M.I.T. master’s thesis was entitled “A Symbolic Analysis of Relay and Switching Circuits.

can describe as existing—from the perspective of what we can interact with and measure—is the software of reality, the interactions that make objects or allow us to observe their existence. This opens a possible resolution where we must treat matter itself as information, which forces reconsidering our concept of what is material. In some ways we are reenvisioning what the quantum physicist John Wheeler envisaged with his famous dictum, “It from bit,” where his “bit” refers to the measurement of information. However, what I am claiming here is that if we adopt John’s “it from bit,” the most interesting feature is not that what we call reality arises from the posing of yes/no questions and the registration of measurement-evoked information theoretic responses to them, as John claimed (where 1 bit is required to measure the answer to a yes/no question). Instead, what I am suggesting is that what we call the future is constructed by those responses.

donated skeletal collection; one more skull was just a final drop in the bucket. Megan and Todd Malone, a CT technician in the Radiology Department at UT Medical Center, ran skull 05-01 through the scanner, faceup, in a box that was packed with foam peanuts to hold it steady. Megan FedExed the scans to Quantico, where Diana and Phil Williams ran them through the experimental software. It was with high hopes, shortly after the scan, that I studied the computer screen showing the features ReFace had overlaid, with mathematical precision, atop the CT scan of Maybe-Leoma’s skull. Surely this image, I thought—the fruit of several years of collaboration by computer scientists, forensic artists, and anthropologists—would clearly settle the question of 05-01’s identity: Was she Leoma or was she Not-Leoma? Instead, the image merely amplified the question. The flesh-toned image on the screen—eyes closed, the features impassive—could have been a department-store mannequin, or a sphinx. There was nothing in the image, no matter how I rotated it in three dimensions, that said, “I am Leoma.” Nor was there anything that said, “I am not Leoma.” To borrow Winston Churchill’s famous description of Russia, the masklike face on the screen was “a riddle wrapped in a mystery inside an enigma.” Between the scan, the software, and the tissue-depth data that the software merged with the

In recent years, Eric Ries famously adapted Lean to solve the wicked problem of software startups: what if we build something nobody wants?[ 41] He advocates use of a minimum viable product (“ MVP”) as the hub of a Build-Measure-Learn loop that allows for the least expensive experiment. By selling an early version of a product or feature, we can get feedback from customers, not just about how it’s designed, but about what the market actually wants. Lean helps us find the goal. Figure 1-7. The Lean Model. Agile is a similar mindset that arose in response to frustration with the waterfall model in software development. Agilistas argue that while Big Design Up Front may be required in the contexts of manufacturing and construction where it’s costly if not impossible to make changes during or after execution, it makes no sense for software. Since requirements often change and code can be edited, the Agile Manifesto endorses flexibility. Individuals and interactions over processes and tools. Working software over comprehensive documentation. Customer collaboration over contract negotiation. Responding to change over following a plan.

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OCP: The Open-Closed Principle Bertrand Meyer made this principle famous in the 1980s. The gist is that for software systems to be easy to change, they must be designed to allow the behavior of those systems to be changed by adding new code, rather than changing existing code.

LSP: The Liskov Substitution Principle Barbara Liskov’s famous definition of subtypes, from 1988. In short, this principle says that to build software systems from interchangeable parts, those parts must adhere to a contract that allows those parts to be substituted one for another.

The computer scientist Gerald Weinberg is famous for saying, “No matter what the problem is, it’s a people problem.

• OCP: The Open-Closed Principle Bertrand Meyer made this principle famous in the 1980s. The gist is that for software systems to be easy to change, they must be designed to allow the behavior of those systems to be changed by adding new code, rather than changing existing code.

what about Bill Gates, famous for dropping out of Harvard to start Microsoft? When Gates sold a new software program as a sophomore, he waited an entire year before leaving school. Even then he didn’t drop out, but balanced his risk portfolio by applying for a leave of absence that was formally approved by the university—and by having his parents bankroll him. “Far from being one of the world’s great risk takers,” entrepreneur Rick Smith notes, “Bill Gates might more accurately be thought of as one of the world’s great risk mitigators.

In 1982, economists at the Brookings Institute estimated that about 62 per cent of the value of a typical American firm stemmed from its physical assets—everything from tables and chairs to factories and inventories. Everything else consisted of more intangible “knowledge assets.” By 1992, the balance had completely reversed. They calculated that only 38 per cent of the average firm’s value came from its physical assets. With the shift towards more knowledge-intensive production processes, it is natural that firms should start to worry much more about employee loyalty. It is relatively easy to stop employees from making off with company property—just post guards at the gate. But when employees leave, they generally take with them all the knowledge and experience they have acquired, and there is no way to stop them. So the best way for a firm to retain control of its assets is to build a strong organizational culture, one that will inspire loyalty and allegiance from its employees. From this perspective, it is entirely predictable that the firms that depend most heavily on the knowledge of their workers will also be the firms that put the most effort into employee retention. Software companies in particular are famous for their efforts to create a corporate culture that will secure employee allegiance.

PayPal staff pioneered techniques in fighting online fraud that have formed the basis of software used by the CIA and FBI to track terrorists and of software used by the world’s largest banks to combat crime. This collection of super-bright employees has become known as the PayPal Mafia—more or less the current ruling class of Silicon Valley—and Musk is its most famous and successful member.

Minsky was an ardent supporter of the Cyc project, the most notorious failure in the history of AI. The goal of Cyc was to solve AI by entering into a computer all the necessary knowledge. When the project began in the 1980s, its leader, Doug Lenat, confidently predicted success within a decade. Thirty years later, Cyc continues to grow without end in sight, and commonsense reasoning still eludes it. Ironically, Lenat has belatedly embraced populating Cyc by mining the web, not because Cyc can read, but because there’s no other way. Even if by some miracle we managed to finish coding up all the necessary pieces, our troubles would be just beginning. Over the years, a number of research groups have attempted to build complete intelligent agents by putting together algorithms for vision, speech recognition, language understanding, reasoning, planning, navigation, manipulation, and so on. Without a unifying framework, these attempts soon hit an insurmountable wall of complexity: too many moving parts, too many interactions, too many bugs for poor human software engineers to cope with. Knowledge engineers believe AI is just an engineering problem, but we have not yet reached the point where engineering can take us the rest of the way. In 1962, when Kennedy gave his famous moon-shot speech, going to the moon was an engineering problem. In 1662, it wasn’t, and that’s closer to where AI is today. In industry, there’s no sign that knowledge engineering will ever be able to compete with machine learning outside of a few niche areas. Why pay experts to slowly and painfully encode knowledge into a form computers can understand, when you can extract it from data at a fraction of the cost? What about all the things the experts don’t know but you can discover from data? And when data is not available, the cost of knowledge engineering seldom exceeds the benefit. Imagine if farmers had to engineer each cornstalk in turn, instead of sowing the seeds and letting them grow: we would all starve.

dominate. Bill Gates did not start out with the business model that made him rich and famous. Initially, after dropping out of Harvard, he and Paul Allen sold their own line of BASIC software for the Altair 8800.7 It was only when the company was about five years old, in 1981, that Gates found out that IBM was seeking an operating system for its proposed personal computer line. He bought an operating system from another company in Seattle, called it MS-DOS, licensed it to IBM, and built Microsoft into a juggernaut. You may not find the right business model on the first cut, so you may have to adapt—before you run out of cash.

As NeXT began to struggle, even as Jobs’s star was rising, several employees at NeXT, as well as executives from Compaq and Dell, approached Jobs with an idea: get out of hardware. NeXT’s software was excellent. Its graphical interface and programming tools were more elegant and powerful than Microsoft’s DOS and early Windows. Jobs could offer PC makers an alternative to Microsoft, which they desperately wanted. In return, the PC makers could offer NeXT something it desperately needed: a future. The idea of switching from hardware to software was a classic S-type loonshot. Jobs had risen to fame selling hardware. Bigger, faster, more, every year. The stars of the day—IBM, DEC, Compaq, Dell—sold shiny machines stamped with their famous logos. Everyone knew there was no money to be made in software; the money was in hardware.

glory, at the Science Museum of London. Charles Babbage was a well-known scientist and inventor of the time. He had spent years working on his Difference Engine, a revolutionary mechanical calculator. Babbage was also known for his extravagant parties, which he called “gatherings of the mind” and hosted for the upper class, the well-known, and the very intelligent.4 Many of the most famous people from Victorian England would be there—from Charles Darwin to Florence Nightingale to Charles Dickens. It was at one of these parties in 1833 that Ada glimpsed Babbage’s half-built Difference Engine. The teenager’s mathematical mind buzzed with possibilities, and Babbage recognized her genius immediately. They became fast friends. The US Department of Defense uses a computer language named Ada in her honor. Babbage sent Ada home with thirty of his lab books filled with notes on his next invention: the Analytic Engine. It would be much faster and more accurate than the Difference Engine, and Ada was thrilled to learn of this more advanced calculating machine. She understood that it could solve even harder, more complex problems and could even make decisions by itself. It was a true “thinking machine.”5 It had memory, a processor, and hardware and software just like computers today—but it was made from cogs and levers, and powered by steam. For months, Ada worked furiously creating algorithms (math instructions) for Babbage’s not-yet-built machine. She wrote countless lines of computations that would instruct the machine in how to solve complex math problems. These algorithms were the world’s first computer program. In 1840, Babbage gave a lecture in Italy about the Analytic Engine, which was written up in French. Ada translated the lecture, adding a set of her own notes to explain how the machine worked and including her own computations for it. These notes took Ada nine months to write and were three times longer than the article itself! Ada had some awesome nicknames. She called herself “the Bride of Science” because of her desire to devote her life to science; Babbage called her “the Enchantress of Numbers” because of her seemingly magical math