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Coders

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Release : 2020-03-24
Genre : Technology & Engineering
Kind : eBook
Book Rating : 581/5 ( reviews)

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Book Synopsis Coders by : Clive Thompson

Download or read book Coders written by Clive Thompson. This book was released on 2020-03-24. Available in PDF, EPUB and Kindle. Book excerpt: Facebook's algorithms shaping the news. Self-driving cars roaming the streets. Revolution on Twitter and romance on Tinder. We live in a world constructed of code--and coders are the ones who built it for us. Programmers shape our everyday behavior: When they make something easy to do, we do more of it. When they make it hard or impossible, we do less of it. From acclaimed tech writer Clive Thompson comes a brilliant anthropological reckoning with the most powerful tribe in the world today, computer programmers, in a book that interrogates who they are, how they think, what qualifies as greatness in their world, and what should give us pause. In pop culture and media, the people who create the code that rules our world are regularly portrayed in hackneyed, simplified terms, as ciphers in hoodies. Thompson goes far deeper, taking us close to some of the great programmers of our time, including the creators of Facebook's News Feed, Instagram, Google's cutting-edge AI, and more. Speaking to everyone from revered "10X" elites to neophytes, back-end engineers and front-end designers, Thompson explores the distinctive psychology of this vocation--which combines a love of logic, an obsession with efficiency, the joy of puzzle-solving, and a superhuman tolerance for mind-bending frustration. Along the way, Coders ponders the morality and politics of code, including its implications for civic life and the economy and the major controversies of our era. In accessible, erudite prose, Thompson unpacks the surprising history of the field, beginning with the first coders -- brilliant and pioneering women, who, despite crafting some of the earliest personal computers and programming languages, were later written out of history. At the same time, the book deftly illustrates how programming has become a marvelous new art form--a source of delight and creativity, not merely danger. To get as close to his subject as possible, Thompson picks up the thread of his own long-abandoned coding skills as he reckons, in his signature, highly personal style, with what superb programming looks like. To understand the world today, we need to understand code and its consequences. With Coders, Thompson gives a definitive look into the heart of the machine.

Secret Coders: Secrets & Sequences

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Release : 2017-03-07
Genre : JUVENILE FICTION
Kind : eBook
Book Rating : 770/5 ( reviews)

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Book Synopsis Secret Coders: Secrets & Sequences by : Gene Luen Yang

Download or read book Secret Coders: Secrets & Sequences written by Gene Luen Yang. This book was released on 2017-03-07. Available in PDF, EPUB and Kindle. Book excerpt: The coders are back in the third volume of the exciting new computer-programming series by New York Times–bestselling author Gene Luen Yang.

Coders at Work

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Release : 2009-12-21
Genre : Computers
Kind : eBook
Book Rating : 491/5 ( reviews)

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Book Synopsis Coders at Work by : Peter Seibel

Download or read book Coders at Work written by Peter Seibel. This book was released on 2009-12-21. Available in PDF, EPUB and Kindle. Book excerpt: Peter Seibel interviews 15 of the most interesting computer programmers alive today in Coders at Work, offering a companion volume to Apress’s highly acclaimed best-seller Founders at Work by Jessica Livingston. As the words “at work” suggest, Peter Seibel focuses on how his interviewees tackle the day-to-day work of programming, while revealing much more, like how they became great programmers, how they recognize programming talent in others, and what kinds of problems they find most interesting. Hundreds of people have suggested names of programmers to interview on the Coders at Work web site: www.codersatwork.com. The complete list was 284 names. Having digested everyone’s feedback, we selected 15 folks who’ve been kind enough to agree to be interviewed: Frances Allen: Pioneer in optimizing compilers, first woman to win the Turing Award (2006) and first female IBM fellow Joe Armstrong: Inventor of Erlang Joshua Bloch: Author of the Java collections framework, now at Google Bernie Cosell: One of the main software guys behind the original ARPANET IMPs and a master debugger Douglas Crockford: JSON founder, JavaScript architect at Yahoo! L. Peter Deutsch: Author of Ghostscript, implementer of Smalltalk-80 at Xerox PARC and Lisp 1.5 on PDP-1 Brendan Eich: Inventor of JavaScript, CTO of the Mozilla Corporation Brad Fitzpatrick: Writer of LiveJournal, OpenID, memcached, and Perlbal Dan Ingalls: Smalltalk implementor and designer Simon Peyton Jones: Coinventor of Haskell and lead designer of Glasgow Haskell Compiler Donald Knuth: Author of The Art of Computer Programming and creator of TeX Peter Norvig: Director of Research at Google and author of the standard text on AI Guy Steele: Coinventor of Scheme and part of the Common Lisp Gang of Five, currently working on Fortress Ken Thompson: Inventor of UNIX Jamie Zawinski: Author of XEmacs and early Netscape/Mozilla hacker

AI and Machine Learning for Coders

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Release : 2020-10-01
Genre : Computers
Kind : eBook
Book Rating : 166/5 ( reviews)

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Book Synopsis AI and Machine Learning for Coders by : Laurence Moroney

Download or read book AI and Machine Learning for Coders written by Laurence Moroney. This book was released on 2020-10-01. Available in PDF, EPUB and Kindle. Book excerpt: If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics. You'll understand how to implement the most common scenarios in machine learning, such as computer vision, natural language processing (NLP), and sequence modeling for web, mobile, cloud, and embedded runtimes. Most books on machine learning begin with a daunting amount of advanced math. This guide is built on practical lessons that let you work directly with the code. You'll learn: How to build models with TensorFlow using skills that employers desire The basics of machine learning by working with code samples How to implement computer vision, including feature detection in images How to use NLP to tokenize and sequence words and sentences Methods for embedding models in Android and iOS How to serve models over the web and in the cloud with TensorFlow Serving

Deep Learning for Coders with fastai and PyTorch

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Release : 2020-06-29
Genre : Computers
Kind : eBook
Book Rating : 497/5 ( reviews)

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Book Synopsis Deep Learning for Coders with fastai and PyTorch by : Jeremy Howard

Download or read book Deep Learning for Coders with fastai and PyTorch written by Jeremy Howard. This book was released on 2020-06-29. Available in PDF, EPUB and Kindle. Book excerpt: Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala

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