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L Peter Deutsch of my face is high The density of information per square inch in infix languages is higher than in Lisp Seibel: But almost all languages are, in fact, prefix, except for a small handful of arithmetic operators Deutsch: That s not actually true In Python, for example, it s not true for list, tuple, and dictionary construction That s done with bracketing String formatting is done infix Seibel: As it is in Common Lisp with FORMAT Deutsch: OK, right But the things that aren t done infix; the common ones, being loops and conditionals, are not prefix They re done by alternating keywords and what it is they apply to In that respect they are actually more verbose than Lisp But that brings me to the other half, the other reason why I like Python syntax better, which is that Lisp is lexically pretty monotonous.



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Although this chapter has not exhaustively covered the configuration options, you know the basics of configuration by now You will learn more about configuration as you explore the other topics that relate to data services Our new focus is to get data services into action The three configuration files, remoting-configxml, proxy-configxml, and messaging-configxml, configure services, so we will look at these in the next few sections as we implement such services using BlazeDS or LCDS..





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Seibel: I think Larry Wall described it as a bowl of oatmeal with fingernail clippings in it Deutsch: Well, my description of Perl is something that looks like it came out of the wrong end of a dog I think Larry Wall has a lot of nerve talking about language design Perl is an abomination as a language But let s not go there If you look at a piece of Lisp code, in order to extract its meaning there are two things that you have to do that you don t have to do in a language like Python First you have to filter out all those damn parentheses It s not intellectual work but your brain does understanding at multiple levels and I think the first thing it does is symbol recognition.

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You know AMF is an efficient binary protocol and a data service lets you exchange data between Flex and Java. Let s dig deeper so you can see what you need to do to leverage this mechanism in your Flex application. Because seeing is believing and, like pictures, working code speaks louder than words, we will first create a simple example application that will establish RPC over AMF using a data service. In this example, our data service is BlazeDS.

So it s going to recognize all those parenthesis symbols and then you have to filter them out at a higher level So you re making the brain symbol-recognition mechanism do extra work These days it may be that the arithmetic functions in Lisp are actually spelled with their common names, I mean, you write plus sign and multiply sign and so forth..

The example application is fairly simple It displays a list of people and the country they come from. A person is identified by an ID, first name, and last name. A country is identified by a name. The initial list is populated from an XML data file that has four names in it. A user is allowed to add names to the list and delete existing ones. To demonstrate data services and remoting, the list and the methods to manipulate the list are kept on the server. These remote Java objects and their methods are accessed from a Flex client. We create this example using Flash Builder 4, but we could also do without it and compile directly using mxmlc, the command-line compiler, or use Flex Ant tasks, available from within Eclipse. The command-line compiler and the Flex Ant tasks are available free of charge. The command-line compiler comes bundled with the free Flex 4 SDK. The Flex Ant tasks software bundle can be downloaded from http://labs.adobe.com/wiki/index.php/Flex_Ant_Tasks. As a first step, we create a new Flex project, choose Web application as the application type and J2EE as the server technology. We name this project VerySimpleRemotingExample. Figure 8-3 shows these settings in the New Flex Project dialog.

L Peter Deutsch Seibel: Yes Deutsch: Alright, so the second thing I was going to say you have to do, you don t actually have to do anymore, which is understanding those things using token recognition rather than symbol recognition, which also happens at a higher level in your brain Then there s a third thing, which may seem like a small thing but I don t think it is Which is that in an infix world, every operator is next to both of its operands In a prefix world it isn t You have to do more work to see the other operand You know, these all sound like small things But to me the biggest one is the density of information per square inch.

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