
Once Upon an Algorithm
How Stories Explain Computing
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Narrado por:
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Walter Dixon
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De:
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Martin Erwig
Acerca de esta escucha
How Hansel and Gretel, Sherlock Holmes, the movie Groundhog Day, Harry Potter, and other familiar stories illustrate the concepts of computing.
Picture a computer scientist, staring at a screen and clicking away frantically on a keyboard, hacking into a system, or perhaps developing an app. Now delete that picture. In Once Upon an Algorithm, Martin Erwig explains computation as something that takes place beyond electronic computers, and computer science as the study of systematic problem solving. Erwig points out that many daily activities involve problem solving. Getting up in the morning, for example: You get up, take a shower, get dressed, eat breakfast. This simple daily routine solves a recurring problem through a series of well-defined steps. In computer science, such a routine is called an algorithm.
Erwig illustrates a series of concepts in computing with examples from daily life and familiar stories. Hansel and Gretel, for example, execute an algorithm to get home from the forest. The movie Groundhog Day illustrates the problem of unsolvability; Sherlock Holmes manipulates data structures when solving a crime; the magic in Harry Potter's world is understood through types and abstraction; and Indiana Jones demonstrates the complexity of searching.
Along the way, Erwig also discusses representations and different ways to organize data; "intractable" problems; language, syntax, and ambiguity; control structures, loops, and the halting problem; different forms of recursion; and rules for finding errors in algorithms. This engaging book explains computation accessibly and shows its relevance to daily life. Something to think about next time we execute the algorithm of getting up in the morning.
PLEASE NOTE: When you purchase this title, the accompanying reference material will be available in your Library section along with the audio.
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Conquering the Electron
- The Geniuses, Visionaries, Egomaniacs, and Scoundrels Who Built Our Electronic Age
- De: Derek Cheung, Eric Brach
- Narrado por: Eric Jason Martin
- Duración: 14 h y 8 m
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Want to know how AT&T's Bell Labs developed semiconductor technology - and how its leading scientists almost came to blows in the process? Want to understand how radio and television work - and why RCA drove their inventors to financial ruin and early graves? Conquering the Electron offers these stories and more, presenting each revolutionary technological advance right alongside blow-by-blow personal battles that all too often took place.
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Tech, science, engineering & the people behind it.
- De James S. en 05-29-20
De: Derek Cheung, y otros
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Clean Agile
- Back to Basics
- De: Robert C. Martin
- Narrado por: Theodore O'Brien
- Duración: 5 h y 53 m
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Nearly 20 years after the Agile Manifesto was first presented, the legendary Robert C. Martin (“Uncle Bob”) reintroduces Agile values and principles for a new generation - programmers and nonprogrammers alike. Martin, author of Clean Code and other highly influential software development guides, was there at Agile’s founding. Now, in Clean Agile: Back to Basics, he strips away misunderstandings and distractions that over the years have made it harder to use Agile than was originally intended.
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Uncle Bob is at it Again
- De Michael en 03-02-25
De: Robert C. Martin
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Managing Humans
- Biting and Humorous Tales of a Software Engineering Manager
- De: Michael Lopp
- Narrado por: TJ Johnson
- Duración: 5 h y 39 m
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Listen to hilarious stories with serious lessons that Michael Lopp extracts from his varied and sometimes bizarre experiences as a manager at Apple, Pinterest, Palantir, Netscape, Symantec, Slack, and Borland. Many of the stories first appeared in primitive form in Lopp’s perennially popular blog, Rands in Repose. The third edition of Managing Humans contains a whole new season of episodes from the ongoing saga of Lopp's adventures in Silicon Valley, together with classic episodes remastered for high fidelity and freshness.
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Blog turned book
- De Chad en 01-18-21
De: Michael Lopp
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An Introduction to Information Theory
- Symbols, Signals and Noise
- De: John R. Pierce
- Narrado por: Kyle Tait
- Duración: 10 h y 12 m
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Behind the familiar surfaces of the telephone, radio, and television lies a sophisticated and intriguing body of knowledge known as information theory. This is the theory that has permitted the rapid development of all sorts of communication, from color television to the clear transmission of photographs from the vicinity of Jupiter. Even more revolutionary progress is expected in the future.
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Not bad, but...
- De Jane Doe en 06-26-20
De: John R. Pierce
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The Deep Learning Revolution
- De: Terrence J. Sejnowski
- Narrado por: Shawn Compton
- Duración: 8 h y 5 m
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The deep-learning revolution has brought us driverless cars, the greatly improved Google Translate, fluent conversations with Siri and Alexa, and enormous profits from automated trading on the New York Stock Exchange. Deep-learning networks can play poker better than professional poker players and defeat a world champion at Go. In this book, Terry Sejnowski explains how deep learning went from being an arcane academic field to a disruptive technology in the information economy.
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Probably the best audio book available on Deep Learning
- De Charlie en 03-01-19
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Hackers & Painters
- Big Ideas from the Computer Age
- De: Paul Graham
- Narrado por: Mark Sando
- Duración: 7 h y 44 m
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We are living in the computer age, in a world increasingly designed and engineered by computer programmers and software designers, by people who call themselves hackers. Who are these people, what motivates them, and why should you care? Consider these facts: Everything around us is turning into computers. Your typewriter is gone, replaced by a computer. Your phone has turned into a computer. So has your camera. Soon your TV will. Your car was not only designed on computers, but has more processing power in it than a room-sized mainframe did in 1970.
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a mindsett that sets people apart
- De Andrew at the BlackFox en 09-10-21
De: Paul Graham
didn't quite cut it for me
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Walter Dixon does an excellent job with what must have been an irritating read.
So Many References to “the PDF”
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Despite the title, probably not so good for beginners - I gleaned so much from it precisely because I was already familiar with the details, I just didn't appreciate them/didn't see how they are fundamental in a way normal maths is fundamental.
This book serves best as a "big picture view"/"romantization of algorithms and computation" read.
Excellent
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