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- Hiring is Obsolete - Страница 177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 Python Paradox
In a recent talk I said something that upset a lot of people: that you could get smarter programmers to work on a Python project than you could to work on a Java project.
I didn't mean by this that Java programmers are dumb. I meant that Python programmers are smart. It's a lot of work to learn a new programming language. And people don't learn Python because it will get them a job; they learn it because they genuinely like to program and aren't satisfied with the languages they already know.
Which makes them exactly the kind of programmers companies should want to hire. Hence what, for lack of a better name, I'll call the Python paradox: if a company chooses to write its software in a comparatively esoteric language, they'll be able to hire better programmers, because they'll attract only those who cared enough to learn it. And for programmers the paradox is even more pronounced: the language to learn, if you want to get a good job, is a language that people don't learn merely to get a job.
Only a few companies have been smart enough to realize this so far. But there is a kind of selection going on here too: they're exactly the companies programmers would most like to work for. Google, for example. When they advertise Java programming jobs, they also want Python experience.
A friend of mine who knows nearly all the widely used languages uses Python for most of his projects. He says the main reason is that he likes the way source code looks. That may seem a frivolous reason to choose one language over another. But it is not so frivolous as it sounds: when you program, you spend more time reading code than writing it. You push blobs of source code around the way a sculptor does blobs of clay. So a language that makes source code ugly is maddening to an exacting programmer, as clay full of lumps would be to a sculptor.
At the mention of ugly source code, people will of course think of Perl. But the superficial ugliness of Perl is not the sort I mean. Real ugliness is not harsh-looking syntax, but having to build programs out of the wrong concepts. Perl may look like a cartoon character swearing, but there are cases where it surpasses Python conceptually.
So far, anyway. Both languages are of course moving targets. But they share, along with Ruby (and Icon, and Joy, and J, and Lisp, and Smalltalk) the fact that they're created by, and used by, people who really care about programming. And those tend to be the ones who do it well.
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