Living and Working Abroad Para leér esta entrada en Español píque aquí *************************************************************************************************************** This is not some theoretical piece about how you might do if you decide to live and work abroad. I’ve been ‘doing it’ for more than 30 years now, it was in 1980 that I left my home country, Germany, and in all humility, I am an expert. I spent seven month in India, lived three years in Greece, another three years in England, and I have been living in Mexico for the past 20 odd years.The years in between I roamed the world. I have not been with any multinational company that sent me to those places. When I started off I didn’t have a profession. I started to develop myself at the beginning of the nineties as a language teacher, since by then I spoke several languages. Let me tell you right from the start, it wasn’t easy. But looking back over the past 30 odd years, I wouldn’t change my life for anything else. Find out for yourself.
Is it a good or a bad idea for someone with below average ability to understand mathematics to continue learning it CEPREUNI 7 lines of code, 3 minutes: Implement a programming language A small (yet Turing-equivalent) language The easiest programming language to implement is a minimalist, higher-order functional programming language known as the lambda calculus. The lambda calculus actually lives at the core of all the major functional languages--Haskell, Scheme and ML--but it also lives inside JavaScript, Python and Ruby. It's even hiding inside Java, if you know where to find it. A brief history Alonzo Church developed the lambda calculus in 1929. Back then, it wasn't called a programming language because there were no computers; there wasn't anything to "program." It was really just a mathematical notation for reasoning about functions. Fortunately, Alonzo Church had a Ph.D. student named Alan Turing. Alan Turing defined the Turing machine, which became the first accepted definition of a general-purpose computer. What makes this remarkable is that there are only three kinds of expressions in the lambda calculus: variable references, anonymous functions and function calls.
Google boggling our brains? Study says humans use internet as their main 'memory' People remember where to look up information - not the info itselfPeople actively forget information if they think they can look it up laterTests on how people remembered items they would normally Google By Rob Waugh Updated: 23:11 GMT, 25 January 2012 Helping hand? Harvard researchers found that we now use the internet to remember 'for us' - and decide not to store facts if we think we can Google them later The Internet is becoming our main source of memory instead of our own brains, a study has concluded. In the age of Google, our minds are adapting so that we are experts at knowing where to find information even though we don’t recall what it is. The researchers found that when we want to know something we use the Internet as an ‘external memory’ just as computers use an external hard drive. Nowadays we are so reliant on our smart phones and laptops that we go into ‘withdrawal when we can’t find out something immediately’. Your Google brain
Vector Functions We first saw vector functions back when we were looking at the Equation of Lines. In that section we talked about them because we wrote down the equation of a line in in terms of a vector function (sometimes called a vector-valued function). In this section we want to look a little closer at them and we also want to look at some vector functions in other than lines. A vector function is a function that takes one or more variables and returns a vector. A vector functions of a single variable in and have the form, respectively, where are called the component functions. The main idea that we want to discuss in this section is that of graphing and identifying the graph given by a vector function. Let’s now move into looking at the graph of vector functions. , is a vector that starts at the origin and ends at the point Because it is a little easier to visualize things we’ll start off by looking at graphs of vector functions in Both of the vector functions in the above example were in the form, . . .
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Top 6 Underground Search Engines You Never Knew About Advertisement I love Google, Bing and Yahoo just as much as the next Internet user, but sometimes you really want to dig down into a particular subject. In order to do that, you really need access to those underground search engines that may not be quite as well known, but they dig much more deeply into specialized areas of the Internet than the general search engines are capable of. In many cases, these search engines are tapped into what is currently termed the “invisible web,” which is the information available on the Internet that standard search engines don’t have access to, because they are buried behind query forms or directory requests. The following 6 underground search engines that I chose are not porn sites, illegal piracy sites or anything else that could get you in trouble with the law, or with your significant other. The available list of Torrent sites that are plugged into this meta-search is impressive, and even more impressive are the search results.
S.O.S. Math Why talent is overrated - Oct. 21, 2008 (Fortune Magazine) -- It is mid-1978, and we are inside the giant Procter & Gamble headquarters in Cincinnati, looking into a cubicle shared by a pair of 22-year-old men, fresh out of college. Their assignment is to sell Duncan Hines brownie mix, but they spend a lot of their time just rewriting memos. They are clearly smart - one has just graduated from Harvard, the other from Dartmouth - but that doesn't distinguish them from a slew of other new hires at P&G. What does distinguish them from many of the young go-getters the company takes on each year is that neither man is particularly filled with ambition. Neither has any kind of career plan. Every afternoon they play waste-bin basketball with wadded-up memos. These two young men are of interest to us now for only one reason: They are Jeffrey Immelt and Steven Ballmer, who before age 50 would become CEOs of two of the world's most valuable corporations, General Electric (GE, Fortune 500) and Microsoft (MSFT, Fortune 500).
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