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You can access the tables in a query to find the required rows in many different ways. The query optimizer in your database will check the different options and choose the approach it thinks is the most efficient. Optimizers vary in how good they are at doing this and are constantly being improved. Here are two of the most obvious things that you can do to try to improve the efficiency of your queries: Check the efficiency of different ways of expressing queries. Add appropriate indexes. Query optimizers are pretty clever! They can usually work out the most efficient query plan, regardless of how you express the query. But this is not always the case. The only way to tell is to use query analysis tools to check the different query plans. Be aware that as the optimizers improve, the plans might change with each new version of your database product, so you need to keep checking. Adding appropriate indexes can often make quite significant improvements to some queries. Indexes are usually automatically added for primary key fields. Indexes on fields that you want to order by or use in a select condition can also be useful. It is always worth checking the usefulness of adding an index to foreign key fields, as these are often used in join conditions. However, indexes come at a cost because they need to be updated every time a row in the table is added, deleted, or altered. This can slow some updating operations while speeding some retrieval operations. You need to decide how important the various efficiencies are for your particular situation. For small databases, you probably don t need to worry about efficiency at all, but bear in mind that small databases have a habit of growing.

vb.net data matrix reader

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Programming languages and applications need data. We define applications to work with data, and we need to have containers that can be used to hold it. This chapter is all about defining containers and using them to work with application data. Whether the data we are using is coming from a keyboard entry or if we are working with a database, there needs to be a way to temporarily store it in our programs so that it can be manipulated and used. Once we're done working with the data then these temporary containers can be destroyed in order to make room for new constructs. We ll start by taking a look at the different data types that are offered by the Python language, and then we'll follow by discussing how to use that data once it has been collected and stored. We will compare and contrast the different types of structures that we have in our arsenal, and we ll give some examples of which structures to use for working with different types of data. There are a multitude of tasks that can be accomplished through the use of lists, dictionaries, and tuples and we will try to cover many of them. Once you learn how to define and use these structures, then we ll talk a bit about what happens to them once they are no longer needed by our application. Let s begin our journey into exploring data types and structures within the Python programming language. . .these are skills that you will use in each and every practical Jython program.

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In addition to the tools I mentioned previously, several web sites offer free online validation services. You can use them to check that your document is valid against specific versions of the XHTML specification. Two popular online validators include W3C Markup Validation Service: http://validator.w3.org/ WDG HTML Validator: http://www.htmlhelp.com/tools/validator/ I ll validate one of the XHTML documents that you saw previously to show you how the W3C Markup Validation Service works. You need to use the Validate by File Upload option to validate an offline file. Open the web site (http://validator.w3.org/) and click the Browse button to select your file. In Figure 3-3, I m validating the file marsstrict.htm.

vb.net data matrix reader

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As we ve discussed, there is a need to store and manipulate data within programs. In order to do so then we must also have the ability to create containers used to hold that data so that the program can use it. The language needs to know how to handle data once it is stored, and we can do that by assigning data type to our containers in Java. However, in Python it is not a requirement to do so because the interpreter is able to determine which type of data we are storing in a dynamic fashion. Table 2-1 lists each data type and gives a brief description of the characteristics that define each of them. Table 2-1. Python Data Types

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