winforms data matrix reader

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2, ASP .NET Application Fundamentals, includes a short summary of the ASP .NET pipeline . The modules fit into the processing chain and take effect prior to being processed by the HttpApplication object . In fact, Microsoft Internet Information Services (IIS) 7 .0 uses modules extensively especially when running in Integrated mode . Although the features themselves can require extensive code to implement (for example, imagine all the work that went into the session state manager), the basic formula for hooking a module into your application is pretty straightforward . Creating a module involves the following four steps: . . . . 1 . . Writing a class implementing IHttpModule 2 . . Writing handlers for the events you want handled 3 . . Subscribing to the events 4 . . Configuring the module in web .config

Connecting and Using a Media Center Extender . . . . . 709 Sharing a Media Library with Other PCs . . . . . . . . . . . . 710

<input <input <input <input type="button" type="button" type="button" type="button" id="rssReader_prevBtn" id="rssReader_pauseBtn" id="rssReader_nextBtn" id="rssReader_addBtn" value=" << " /> value=" | | " /> value=" >> " /> value="Add Feed" />

SQL allows you to combine standard comparison operators (<, >, =, and so on) with subqueries returning any number of rows. You can do that by specifying ANY or ALL between the comparison operator and the subquery. Listing 9-3 showsan example of using the ANY operator, showing all employees with a monthly salary that is higher than at least one manager.

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Next, let s talk about a cursor-based solution . The power of a cursor-based solution is that it can scan data in order . Relying on the fact that each session represents two events one that increases the count of active sessions, and one that decreases the count I ll declare a cursor for the following query:

This solution can use the Calendar control in every situation in which the user must enter a date or dates, and in every situation in which a schedule is being displayed to a user. The following list describes some of the situations in which you can use the Calendar control:

With the Ajax-based RSS syndication feed reader that we have developed, we are able to view RSS feeds from an HTML file stored on the desktop with no serverside code required. We can use this application to grab the RSS feeds we read without having to go to the websites. We may want to offer this page as a download for the users on our websites. We can set it up to read our site s RSS feeds. Because we can run this script on our website too, we can use it for other things as well. One use can be a banner ad rotator, a company news banner, or anything else we can think of. But there are some limitations to what this script can do, and we may have trouble running this application with Mozilla on our desktop.

Using conventions of all sorts frees your brain from the relatively mundane aspects of programming, which offer little payback.

The OVER clause allows you to request window-based calculations that is, calculations performed over a whole window of rows. In 6, Subqueries, Table Expressions, and Ranking Functions, I described in detail how you use the OVER clause with analytical ranking functions. Microsoft SQL Server also supports the OVER clause with scalar aggregate functions; however, currently you can provide only the PARTITION BY clause. Future versions of SQL Server will most likely also support the other ANSI elements of aggregate window functions, including the ORDER BY and ROWS clauses. The purpose of using the OVER clause with scalar aggregates is to calculate, for each row, an aggregate based on a window of values that extends beyond that row and to do all this without using a GROUP BY clause in the query. In other words, the OVER clause allows you to add aggregate calculations to the results of an ungrouped query. This capability provides an alternative to requesting aggregates with subqueries in case you need to include both base row attributes and aggregates in your results. Remember that in 7, Joins and Set Operations, I presented a problem in which you were required to calculate two aggregates for each order row: the percentage the row contributed to the total value of all orders and the difference between the row s order value and the average value over all orders. In my examples I used a table called MyOrderValues that you create and populate by running the following code:

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