Coders

Hello, world. 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. 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. They are the most quietly influential people on the planet, and Coders shines a light on their culture. 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, dramatizing the psychology of the invisible architects of the culture, exploring their passions and their values, as well as their messy history. In nuanced portraits, Coders takes 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 thoughtfully ponders the morality and politics of code, including its implications for civic life and the economy. 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. Thompson wrestles with the major controversies of our era, from the "disruption" fetish of Silicon Valley to the struggle for inclusion by marginalized groups. In his accessible, erudite style, 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. Coders introduces modern crypto-hackers fighting for your privacy, AI engineers building eerie new forms of machine cognition, teenage girls losing sleep at 24/7 hackathons, and unemployed Kentucky coal-miners learning a new career. 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.

Welcome to Stately Academy, a school which is just crawling with mysteries to be solved! The founder of the school left many clues and puzzles to challenge his enterprising students. Using their wits and their growing prowess with coding, Hopper and her friend Eni are going to solve the mystery of Stately Academy no matter what it takes! From graphic novel superstar (and high school computer programming teacher) Gene Luen Yang comes Secret Coders, a wildly entertaining new series that combines logic puzzles and basic programming instruction with a page-turning mystery plot!

A deeply informed, yet playful and ironic look at how the internet has changed human experience, memory, and our sense of self, and that belongs on the shelf with the best writings of Roland Barthes and Jean Baudrillard. “One day, as I was daydreaming on the boulevard Beaumarchais, I had the idea—it came and went in a flash, almost in spite of myself—of Googling to find out what I’d been up to and where I’d been two evenings before, at five o’clock, since I couldn’t remember on my own.” So begins Maël Renouard’s Fragments of an Infinite Memory, a provocative and elegant inquiry into life in a wireless world. Renouard is old enough to remember life before the internet but young enough to have fully accommodated his life to the internet and the gadgets that support it. Here this young philosopher, novelist, and translator tries out a series of conjectures on how human experience, especially the sense of self, is being changed by our continual engagement with a memory that is impersonal and effectively boundless. Renouard has written a book that is rigorously impressionistic, deeply informed historically and culturally, but is also playful, ironic, personal, and formally adventurous, a book that withstands comparison to the best of Roland Barthes and Jean Baudrillard.

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

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

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

From acclaimed tech writer Clive Thompson, a brilliant and immersive anthropological reckoning with the most powerful tribe in the world today, computer programmers - where they come from, how they think, what makes for greatness in their world, and what should give us pause.

A Practical Handbook of Speech Coders offers in-depth treatment of the basics of speech coding plus the innovations to the basic methods that make the coders useful and efficient. It describes the fundamentals of auditory information processing and how they relate to speech coding, and shows readers how to evaluate the strengths and weaknesses of all publicly available codes and choose the right one. It explains how to measure the quality of speech coders with objective, subjective, and perceptual measures. The book also shows engineers how to tailor existing speech coders and provides the building blocks to create new coders.