by Paul Graham · 8 Sep 1993 · 423pp · 21,637 words
On Lisp by Paul Graham * * * Table of Content Preface The Extensible Language Design by Evolution Programming Bottom-Up Extensible Software Extending Lisp Why Lisp (or When) Functions Functions as Data
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the most beautiful. This book is about Lisp at its lispiest. I had fun writing it, and I hope that comes through in the text. Paul Graham * * * 1. The Extensible Language Not long ago, if you asked what Lisp was for, many people would have answered "for artificial intelligence." In fact, the
by Paul Graham · 12 Nov 1995 · 450pp · 569 words
Russell and Peter Norvig, Editors GRAHAM MUGGLETON RUSSELL & NORVIG ANSI Common Lisp Logical Foundations of Machine Learning Artificial Intelligence: A Modern Approach ANSI Common Lisp Paul Graham An Alan R. Apt Book Prentice Hall, Upper Saddle River, New Jersey 07458 Library of Congress Cataloging-in-Publication Data Graham, Paul. ANSI common lisp
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. / Paul Graham. p. cm. "An Alan R. Apt book." Includes bibliographical references and index. ISBN 0-13-370875-6 1. COMMON LISP (Computer program language) I. Tide.
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be expressed in two sentences. Programming should be fun. Programs should be beautiful. That's the spirit I have tried to convey in this book. Paul Graham Contents 1. Introduction 1.1. 1.2. 1.3. 1 New Tools 1 New Techniques 3 A New Approach 4 2. Welcome to Lisp 2
by Rob Walling · 15 Jan 2010 · 183pp · 49,460 words
of the startup process is unparalleled. Single Founder (www.singlefounder.com) – Mike Taber shares his insight and wisdom from 10 years in the entrepreneurial trenches. Paul Graham (www.paulgraham.com/articles.html) – Though venture-focused, Graham’s insights into the startup process are unique and powerful. Software by Rob (www.softwarebyrob.com
by Joel Grus · 13 Apr 2015 · 579pp · 76,657 words
features like “message contains a number” by creating phony tokens like contains:number and modifying the tokenizer to emit them when appropriate. For Further Exploration Paul Graham’s articles “A Plan for Spam” and “Better Bayesian Filtering” (are interesting and) give more insight into the ideas behind building spam filters. scikit-learn
by Stuart Sierra and Luke Vanderhart · 24 Oct 2012 · 135pp · 31,098 words
macros can do. For more examples, refer to books about Clojure. For even deeper exploration of macros, look to books on Common Lisp, such as Paul Graham’s classic On Lisp, available free online. Note that most other Lisps use the comma character instead of tilde for unquote. * * * [3] Technically, you can
by Stuart Halloway and Aaron Bedra · 17 Apr 2012 · 536pp · 73,482 words
is, Lisp code is just Lisp data. This makes it easy for programs to write other programs. The whole language is there, all the time. Paul Graham’s essay “Revenge of the Nerds”[10] explains why this is so powerful. Lisp syntax also eliminates rules for operator precedence and associativity. You will
by Ryan Holiday · 13 Jun 2016 · 177pp · 54,421 words
’t trying to reinvent TV; they were trying to share funny video clips.) It’s not how most true wealth was created, in fact. Investor Paul Graham (who invested in Airbnb, reddit, Dropbox, and others), working in the same city as Walsh a few decades later, explicitly warns startups against having bold
by Sean Ellis and Morgan Brown · 24 Apr 2017 · 344pp · 96,020 words
, to their surprise, discovered that New York City was underachieving. Clearly, New York is a major tourist destination, so they dug in, with early investor Paul Graham of Y Combinator, to analyze why bookings weren’t stronger. Reviewing the apartment listings for the city, cofounder Joe Gebbia recalls that “the photos were
by Ryan Holiday · 2 Sep 2013 · 52pp · 14,333 words
begin there, with the most important marketing decision you will likely ever make. STEP 1 It Begins with Product Market Fit Make stuff people want. —Paul Graham You know what the single worst marketing decision you can make is? Starting with a product nobody wants or nobody needs. Yet for years, this
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blog http://okdork.com Patrick Vlaskovits http://vlaskovits.com/blog twitter.com/pv Jesse Farmer http://20bits.com Sean Ellis http://www.startup-marketing.com Paul Graham’s essays http://www.paulgraham.com/articles.html Aaron Ginn http://www.aginnt.com Josh Elman https://medium.com/@joshelman Or just follow most of
by Daniel Kellmereit and Daniel Obodovski · 19 Sep 2013 · 138pp · 40,787 words
of Everyday Things (New York: Basic Books, 1988). Chapter 7 WHERE TO INVEST All creative people want to do the unexpected. ~ Hedy Lamarr According to Paul Graham of Y Combinator, the best way to get start-up ideas is not to think of start-up ideas. Instead, one should focus on problems
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problems that the Internet of Things will help solve: increased visibility, increased productivity, reduced guesswork, better risk management, and better connection to our environment. 29 Paul Graham, “How to Get Startup Ideas,” November 2012. http://www.paulgraham.com/startupideas.html. 30 Iain Morris, “Intelligent Systems to Drive Value in M2M Market: IDC
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