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Clicking on the DataTable Visualizer brings up a really cool display of the current data, as Figure 17-4 illustrates. Looking at the DataTable Visualizer, we have a better representation of the table results. Rather than having to drill down into the data type in the Locals window, we can use the simpler visualizer window for quick results. As a web developer, one of my favorite visualizers is the HTML Visualizer. Recall from our portal application that we had a section of code that retrieved a static map from Yahoo: string strMapURL = sb.ToString(); string strHTML = "<center><img src='" + strMapURL + "' /></center>"; If I run this code and hover over strHTML after it has been assigned a value, I ll have a few other visualizers at my disposal (see Figure 17-5).

Having fewer bugs is not the only reason to use functional programming. With languages such as OCaml, there are functional languages that strive to be correct (discussed in more detail later on). Functional programming also supports and encourages reductionism to solve the problem. By reducing a problem to its component parts, you have modular programs that are often easier to maintain than their structured counterparts (even though they might also be modular). Although there is no short example I can show to demonstrate this, John Hughes and Paul Graham (two highly influential programmers) have published papers on the subject.

require 'active_record' ActiveRecord::Base.establish_connection( :adapter => 'mysql', :host => 'localhost', # This is the default username and password # for MySQL, but note that if you have a # different username and password, # you should change it. :database => 'players_2') :username => 'root', :password => '',

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Note that the URL for the image that is built at this stage of the function is rather large and therefore pushes the rest of the HTML way off the visible IDE, rendering the DataTip practically useless for debugging. However, the list of visualizers grants me one option in particular that is awesome for HTML work: my favorite, the HTML Visualizer! When I click the HTML Visualizer, I m given a browser-based representation of my string, as shown in Figure 17-6. The expression that is currently being rendered is shown at the top with the HTML display in the Value box. This is a very useful tool for web developers, especially when you throw tables and positioning into the mix. It is possible to build your own visualizer from scratch, although that topic is beyond the scope of this book. If you happen to build one for JSON, feel free to send it my way, as I m sure that many of us will find a need for one.

You can find them at http://www.cs.chalmers.se/~rjmh/Papers/whyfp.html. Graham even credits his ability to produce Viaweb (a product later sold to Yahoo) with the flexibility, modularity, and overall goodness provided by the functional language he used (which is Lisp). The modularity of functional languages can be achieved in structured languages, but it is often achieved via policy rather than being enforced by the language. This difference can be very important in terms of maintenance, especially when the maintenance is not done by the original author. Functional languages are also often easier to analyze programmatically. In many functional programming languages, a given function can have only one entry point and one exit point. OCaml, for example, allows only one entry point and one exit point. This language-level enforcement of Single Entry, Single Exit simplifies creating tools for analyzing the code. Programmatic validation of code is a topic that is gaining a lot of interest in the programming world, especially regarding the creation of more robust systems. Sometimes, OCaml programmers decry the absence of a return statement in OCaml as a Bad Thing. One of the important things to remember is that mathematical functions do not have multiple points of exit. This kind of conditional result requires two functions, each applied in the domain of the problem. The lack of multiple points of exit results in smaller, more numerous functions each with a given output on each given input. In turn, these smaller components are less complicated, and (theoretically) easier to debug.

class Player < ActiveRecord::Base has_many :wins def total_wins total_wins = 0 self.wins.each do |win|

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