Essays
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- Programming Bottom-Up - Страница 1
- Lisp for Web-Based Applications - Страница 3
- Beating the Averages - Страница 6
- Java's Cover - Страница 12
- Being Popular - Страница 14
- Five Questions about Language Design - Страница 24
- The Roots of Lisp - Страница 28
- The Other Road Ahead - Страница 29
- What Made Lisp Different - Страница 44
- Why Arc Isn't Especially Object-Oriented - Страница 45
- Taste for Makers - Страница 46
- What Languages Fix - Страница 52
- Succinctness is Power - Страница 53
- Revenge of the Nerds - Страница 57
- A Plan for Spam - Страница 65
- Design and Research - Страница 72
- Better Bayesian Filtering - Страница 76
- Why Nerds are Unpopular - Страница 82
- The Hundred-Year Language - Страница 90
- If Lisp is So Great - Страница 97
- Hackers and Painters - Страница 98
- Filters that Fight Back - Страница 105
- What You Can't Say - Страница 107
- The Word "Hacker" - Страница 114
- The Python Paradox - Страница 117
- Great Hackers - Страница 118
- The Age of the Essay - Страница 125
- What the Bubble Got Right - Страница 131
- Bradley's Ghost - Страница 136
- Made in USA - Страница 137
- What You'll Wish You'd Known - Страница 140
- How to Start a Startup - Страница 147
- A Unified Theory of VC Suckagepad - Страница 159
- Undergraduation - Страница 161
- Writing, Briefly - Страница 166
- Return of the Mac - Страница 167
- Why Smart People Have Bad Ideas - Страница 169
- The Submarine - Страница 173
- Hiring is Obsolete - Страница 177
- What Business Can Learn from Open Source - Страница 183
- After the Ladder - Страница 189
- Inequality and Risk - Страница 190
- What I Did this Summer - Страница 194
- Ideas for Startups - Страница 198
- The Venture Capital Squeeze - Страница 203
- How to Fund a Startup - Страница 205
- Web 2.0 - Страница 217
- How to Make Wealth - Страница 222
- Good and Bad Procrastination - Страница 233
- How to Do What You Love - Страница 236
- Are Software Patents Evil? - Страница 242
- The Hardest Lessons for Startups to Learn - Страница 248
- How to Be Silicon Valley - Страница 255
- Why Startups Condense in America - Страница 260
- The Power of the Marginal - Страница 267
- The Island Test - Страница 275
- Copy What You Like - Страница 276
- How to Present to Investors - Страница 278
- A Student's Guide to Startups - Страница 282
- The 18 Mistakes That Kill Startups - Страница 290
- Mind the Gap - Страница 297
- How Art Can Be Good - Страница 305
- Learning from Founders - Страница 310
- Is It Worth Being Wise? - Страница 311
- Why to Not Not Start a Startup - Страница 316
- Microsoft is Dead - Страница 324
- Two Kinds of Judgement - Страница 326
- The Hacker's Guide to Investors - Страница 327
- An Alternative Theory of Unions - Страница 336
- The Equity Equation - Страница 337
- Stuff - Страница 339
- Holding a Program in One's Head - Страница 341
- How Not to Die - Страница 344
- News from the Front - Страница 347
- How to Do Philosophy - Страница 350
- The Future of Web Startups - Страница 357
- Why to Move to a Startup Hub - Страница 362
- Six Principles for Making New Things - Страница 364
- Trolls - Страница 366
- A New Venture Animal - Страница 368
- You Weren't Meant to Have a Boss - Страница 371
The Roots of Lisp
(I wrote this article to help myself understand exactly what McCarthy discovered. You don't need to know this stuff to program in Lisp, but it should be helpful to anyone who wants to understand the essence of Lisp-- both in the sense of its origins and its semantic core. The fact that it has such a core is one of Lisp's distinguishing features, and the reason why, unlike other languages, Lisp has dialects.)
In 1960, John McCarthy published a remarkable paper in which he did for programming something like what Euclid did for geometry. He showed how, given a handful of simple operators and a notation for functions, you can build a whole programming language. He called this language Lisp, for "List Processing," because one of his key ideas was to use a simple data structure called a list for both code and data.
It's worth understanding what McCarthy discovered, not just as a landmark in the history of computers, but as a model for what programming is tending to become in our own time. It seems to me that there have been two really clean, consistent models of programming so far: the C model and the Lisp model. These two seem points of high ground, with swampy lowlands between them. As computers have grown more powerful, the new languages being developed have been moving steadily toward the Lisp model. A popular recipe for new programming languages in the past 20 years has been to take the C model of computing and add to it, piecemeal, parts taken from the Lisp model, like runtime typing and garbage collection.
In this article I'm going to try to explain in the simplest possible terms what McCarthy discovered. The point is not just to learn about an interesting theoretical result someone figured out forty years ago, but to show where languages are heading. The unusual thing about Lisp-- in fact, the defining quality of Lisp-- is that it can be written in itself. To understand what McCarthy meant by this, we're going to retrace his steps, with his mathematical notation translated into running Common Lisp code.
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