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For comparison, take a look at a conventional PowerPoint presentation in Slide Sorter view, as shown in Figure 2-11. Audiences might not know about the limited capacity of working memory, but they do know what they re talking about when they say presentations like this are a Data dump! and Overwhelming! They ve been down the road to overload before, and Slide Sorter view shows exactly how the conventional approach takes them there. The new information is clearly not presented in bite-size pieces; instead, it lls every slide, slide after slide, with overwhelming detail.

It s expected that as the system is designed and developed, your understanding about the dynamics governing its behavior will coalesce. New relationships and interfaces will be discovered, and previously unidentified usage scenarios will appear. Preparing for such discoveries by infusing flexibility in your designs is key for any system that will evolve in a controlled fashion. Some expected open issues are as follows: Unidentified stakeholders With multiple channels being serviced by the application, the need to find a way to produce channel-specific content The need to create several system-level components for authentication, registration, and the handling of payments The large number of implementation choices available Unidentified alternate usage scenarios Unidentified requirements

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class also offers to_sym, which converts a string into a symbol. Symbols provide the inverse, with a to_s method to convert them into strings. Likewise, the number classes support to_s to convert themselves into textual representations, as well as to_i and to_f to convert to and between integers and floats.

dates and times of the file creation might help), so you need to follow the path into the directories until you unearth some .dll files . Depending on how many times you ve run the application, you might see several files . Open the files one at a time until ILDASM displays something similar to what s shown in Figure 2-4 .

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Managing Cookies . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 898 Managing Internet Explorer s Cache and History . . . . 906 Blocking Objectionable Content . . . . . . . . . . . . . . . . . . 908 Sa ing and Applying Internet Explorer Settings . . . . . 911

Connecting to an FTP server with net/ftp using an FTP URL is a simple operation: require 'net/ftp' require 'uri' uri = URI.parse('ftp://ftp.ruby-lang.org/') Net::FTP.open(uri.host) do |ftp| ftp.login 'anonymous', 'me@privacy.net' ftp.passive = true ftp.list(uri.path) { |path| puts path } end drwxrwxr-x drwxrwxr-x 2 0 3 0 103 103 6 Sep 10 2005 basecamp 73 Jan 30 15:47 pub

trive to minimize the dependencies between master and content pages. The fewer references you create between master and content pages, the fewer problems

Despite the flexibility of the UTF-8 name-checking method, you should consider changing the Name Checking option to Strict RFC when your DNS servers perform zone transfers to non-Windows servers that are not UTF-8 aware. Although DNS server implementations that are not UTF-8 aware might be able to accept the transfer of a

used by the formatters . However, other code could call GetObjectData, which might then return potentially sensitive information, or other code could construct an object that passes in corrupt data . For this reason, it is recommended that you apply the following attribute to the GetObjectData method and the special constructor:

You can also examine the history of errors on your system by creating a filtered view of the Application log in Event Viewer. (For details about using Event Viewer, see 22, Monitoring System Activities with Event Viewer. ) In addition to all the errors reported in Problem Reports and Solutions, Event Viewer can show you errors that are recorded but are not reported (see Figure 23-5).

CHAPTER 5 s ADMINISTERING JOOMLA!

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The solution to INTERSECT ALL in SQL Server 2008 is similar to the one for EXCEPT ALL except for one obvious difference the use of the INTERSECT operator instead of EXCEPT:

You'll find the two plans nearly identical, with the only difference being that the single Stream Aggregate operator calculates a different number of aggregates for each. The query costs are identical. On the other hand, compare the execution plans of the following two queries, each requesting a different number of aggregates using subqueries: SELECT stor_id, ord_num, title_id, (SELECT SUM(qty) FROM dbo.sales) AS sumqty FROM dbo.sales; SELECT stor_id, ord_num, title_id, (SELECT SUM(qty) FROM dbo.sales) (SELECT COUNT(qty) FROM dbo.sales) (SELECT AVG(qty) FROM dbo.sales) (SELECT MIN(qty) FROM dbo.sales) (SELECT MAX(qty) FROM dbo.sales) FROM dbo.sales;

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