Introduction Today I thought I'd talk about a neat design pattern that doesn't seem to get much love: In its fullest form it's also sometimes called the Prototype Pattern. People use this pattern all over the place, and I'll give you a nice set of real-life examples in a little bit. It's a design pattern that's useful in every programming language, and as we'll see shortly, it's also pretty darn useful as a general-purpose persistence strategy.
Want to start a startup?
Get funded by Y Combinator. April This article is derived from a talk given at the Franz Developer Symposium. In the summer ofmy friend Robert Morris and I started a startup called Viaweb.
Our plan was to write software that would let end users build online stores.
What was novel about this software, at the time, was that it ran on our server, using ordinary Web pages as the interface.
A lot of people could have been having this idea at the same time, of course, but as far as I know, Viaweb was the first Web-based application.
It seemed such a novel idea to us that we named the company after it: Viaweb, because our software worked via the Web, instead of running on your desktop computer.
Another unusual thing about this software was that it was written primarily in a programming language called Lisp. It was one of the first big end-user applications to be written in Lisp, which up till then had been used mostly in universities and research labs.
He suggests starting with Python and Java, because they are easy to learn. The serious hacker will also want to learn C, in order to hack Unix, and Perl for system administration and cgi scripts. Finally, the truly serious hacker should consider learning Lisp: Lisp is worth learning for the profound enlightenment experience you will have when you finally get it; that experience will make you a better programmer for the rest of your days, even if you never actually use Lisp itself a lot.
This is the same argument you tend to hear for learning Latin. But wait a minute. If you write in Latin, no one can understand you. But Lisp is a computer language, and computers speak whatever language you, the programmer, tell them to. On the whole, his advice is good. What he says about Lisp is pretty much the conventional wisdom.
But there is a contradiction in the conventional wisdom: Programming languages are just tools, after all. If Lisp really does yield better programs, you should use it. This is not just a theoretical question. Software is a very competitive business, prone to natural monopolies.
A company that gets software written faster and better will, all other things being equal, put its competitors out of business. Startups tend to be an all or nothing proposition.
You either get rich, or you get nothing. In a startup, if you bet on the wrong technology, your competitors will crush you. When you choose technology, you have to ignore what other people are doing, and consider only what will work the best.
This is especially true in a startup. In a big company, you can do what all the other big companies are doing.As far as I'm concerned, Ocaml, F#, and the like are imperative languages with functional data structures.
April , rev. April (This article is derived from a talk given at the Franz Developer Symposium.) In the summer of , my friend Robert Morris and I started a startup called schwenkreis.com plan was to write software that would let end users build online stores. Nevertheless, the Lisp Curse still holds. Some smug Lisp-lovers have surveyed the current crop of academic languages (Haskell, Ocaml, et cetera) and found them wanting, saying that any feature of theirs is either already present in Lisp or can be easily implemented — and improved upon — with Lisp macros. Operation Mercury - Airmen in the Battle of Crete, M.G. Comeau Tradicao, Tradicao The Educational System of the Russian Federation Subway Rides, P. Walker Plays Pretty Just for You, Smith Jimmy Cuentos Fantasticos, Leopoldo Lugones.
But as I said in my answer, I don't believe there's any objective, non-ambiguous answer to this question. The graph reminds me of Alexander Pope’s “Essay on Criticism”, warning “A little learning is a dangerous thing; Drink deep, or taste not the Pierian spring.”.
Various data structures. NB: for a good library of general purpose data-structures, I (actually Fare Rideau) recommend cl-containers if you want stateful (imperative) variants, or lisp-interface-library if you want pure (functional) variants. If you implement more data-structures, we recommend you extend their respective interfaces.
Lisp Interface Library (LIL) provides abstracted data structures using Interface Passing Style, while Sycamore provides a few concrete data structures. LIL's Interface Passing Style presumably improves flexibility at the cost of runtime overhead and API complexity.
Okay, I might be weird but I really don't like Paul Graham's essays that much & on Lisp is a really rough going book if you don't have some grasp of Common Lisp already.
Instead, I'd say go for Siebel's Practical Common Lisp. Programming paradigms are a way to classify programming languages based on their features.
Languages can be classified into multiple paradigms. Some paradigms are concerned mainly with implications for the execution model of the language, such as allowing side effects, or whether the sequence of operations is defined by the execution schwenkreis.com paradigms are concerned mainly with .