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These two methods of expressing a simple query are quite straightforward, but as we need to include more and more tables connected in a variety of ways, the diagrammatic interface rapidly becomes unwieldy and the SQL commands more complex. Often, it is easier to think about a query in a more abstract way. With a clear abstract understanding of what is required, it then becomes more straightforward to turn the idea into an appropriate SQL statement. There are two different abstract ways to consider queries on a relational database. Because relational theory was developed by a mathematician, it is couched in quite mathematical terms. The two equivalent ways of thinking about queries are called relational algebra and relational calculus. Do not be alarmed! We will not be getting into quadratic equations or integration I promise. However, these two methods might take a bit of getting used to, so treat the examples in this chapter as just a taster; we will be going over the details in later chapters.

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System.out.println("x: " + x); } } Next, we see the result of running the application. The first two lines are automatically generated when the Jython interpreter is initiated; they display the JAR filescontained within the CLASSPATH. Following those lines, we see the actual program output. Result *sys-package-mgr*: processing new jar, '/jsr223-engines/jython/build/jython-engine.jar' *sys-package-mgr*: processing modified jar, '/System/Library/Java/Extensions/QTJava.zip' sys module 42 x: 4

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To find averages, we use the AVG function. The parameter for the function that is, what goes in the parentheses (. . .) is the expression you want to average. The expression must have a numeric value. The expression could be just the name of one of the numeric-valued columns or some function of a value, such as the length of a piece of text or the number of days between two dates. For example, we can find the average handicap for members of our club by averaging the values in the Handicap column, as in Listing 8-9.

A similar technique to JSR-223 for embedding Jython is making use of the PythonInterpreter directly. This style of embedding code is very similar to making use of a scripting engine, but it has the advantage of working with Jython 2.5. Another advantage is that the PythonInterpreter enables you to make use of PyObjects directly. In order to make use of the PythonInterpreter technique, you only need to have jython.jar in your classpath; there is no need to have an extra engine involved. Listing 10-9. Using PythonInterpreter import import import import org.python.core.PyException; org.python.core.PyInteger; org.python.core.PyObject; org.python.util.PythonInterpreter;

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This chapter introduced the Ajax style of creating XML applications. Ajax uses a combination of XML, the XMLHttpRequest object, JavaScript, XSLT, XHTML, and CSS to create responsive web applications. Because you d seen the other technologies earlier in the book, I focused on the new XMLHttpRequest object in this chapter. You saw how to use the XMLHttpRequest object to make server requests. You were able to display a HEAD request and retrieve content from an XML document. You looked at two simple examples validating a username in a form, and creating an address-book application.

public class Main { /** * @param args the command line arguments */ public static void main(String[] args) throws PyException { // Create an instance of the PythonInterpreter PythonInterpreter interp = new PythonInterpreter(); // The exec() method executes strings of code interp.exec("import sys"); interp.exec("print sys"); // Set variable values within the PythonInterpreter instance interp.set("a", new PyInteger(42)); interp.exec("print a"); interp.exec("x = 2+2"); // // Obtain the value of an object from the PythonInterpreter and store it into a PyObject.

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