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A very important string method, join is the inverse of split. It is used to join the elements of a sequence: >>> seq = [1, 2, 3, 4, 5] >>> sep = '+' >>> sep.join(seq) # Trying to join a list of numbers Traceback (most recent call last): File "<stdin>", line 1, in TypeError: sequence item 0: expected string, int found

One of the key principles of object-oriented programming is encapsulation the separation of an implementation and its public interface. The DAO pattern is one more tool that allows you to do that in your applications. Before we go too far into the DAO pattern, let s look at figure 10.1, to see what one looks like. If you are thinking that figure 10.1 looks more like JDBC than a DAO, then you are only half right. It is JDBC, but the JDBC API in Java is a good example of the DAO pattern in action.

Save the item by pressing Ctrl+S or select the File Save Changes menu. The result is shown in Figure 4-14.

Figure 10.1 A simplified DAO (or is it JDBC )

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>>> seq = ['1', '2', '3', '4', '5'] >>> sep.join(seq) # Joining a list of strings '1+2+3+4+5' >>> dirs = '', 'usr', 'bin', 'env' >>> '/'.join(dirs) '/usr/bin/env' >>> print 'C:' + '\\'.join(dirs) C:\usr\bin\env As you can see, the sequence elements that are to be joined must all be strings. Note how in the last two examples I use a list of directories and format them according to the conventions of UNIX and DOS/Windows simply by using a different separator (and adding a drive name in the DOS version). See also: split.

You have a factory on the top (the DataSource interface), which creates instances of objects that implement the Connection interface. Once you have the Connection, you can get PreparedStatement or CallableStatement objects, which in turn provide you with ResultSet objects. You do not need to know how the DataSource creates the connection, or how the connection creates the PreparedStatement, how the PreparedStatement binds the parameters to the query, or even how the ResultSet is constructed. All of the details are irrelevant as long as you know that when you call the Connection s prepareStatement() method you get a PreparedStatement back.

Figure 4-14. After saving the top-level component If you click between the Description and Quantity column headings, you will be able to drag the right border for the Description column to the right until the entire description shows. You can also double-click the right column divider to resize the column automatically. As you work with Explorer panes in Quadrant, you will find that views are very amenable to reformatting and other UI customization. Next, you will insert the Drive Train subsystem as a new item by pressing Ctrl+I. Enter the data shown in the new detail pane shown in Figure 4-15. This figure shows that I have added and saved the Drive Train item, and then clicked the drop-down arrow in the PartOfComponent column to set this value to My Car. Note that the asterisk in the Drive Train* title of the detail window indicates that the data has been changed but not saved. The asterisk at the far left of the corresponding line in the CarComponents pane indicates the same thing. You can also see that the Quadrant window is displaying Changes(1) in the status bar. Save the pending changes with Ctrl+S, and all indications that changes are pending should disappear.

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