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A data table is an instance of the class System.Data.DataTable. It s conceptually analogous to a relational table. As shown in Figure 8-1, a data table has collections of data rows and data columns. You can access these nested collections via the Rows and Columns properties of the data table. A data table can represent a stand-alone independent table, either inside a dataset as you ll see in this chapter or as an object created by another method, as you saw in the previous chapter when a data table was returned by calling the GetSchemaTable method on a data reader. A data column represents the schema of a column within a data table and can then be used to set or get column properties. For example, you could use it to set the default value of a column by assigning a value to the DefaultValue property of the data column. You obtain the collection of data columns using the data table s Columns property, whose indexer accepts either a column name or a zero-based index, for example (where dt is a data table):



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When you create a Template object, the template system compiles the raw template code into an internal, optimized form, ready for rendering. But if your template code includes any syntax errors, the call to Template() will cause a TemplateSyntaxError exception: >>> from django.template import Template >>> t = Template('{% notatag %} ') Traceback (most recent call last): File "<stdin>", line 1, in ... django.template.TemplateSyntaxError: Invalid block tag: 'notatag' The system raises a TemplateSyntaxError exception for any of the following cases: Invalid block tags Invalid arguments to valid block tags Invalid filters Invalid arguments to valid filters Invalid template syntax Unclosed block tags (for block tags that require closing tags)





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Polymorphism is at work every time you can do something to an object without having to know exactly what kind of object it is. This doesn t only apply to methods we ve already used polymorphism a lot in the form of built-in operators and functions. Consider the following: >>> 1+2 3 >>> 'Fish'+'license' 'Fishlicense' Here the plus operator works fine for both numbers (integers in this case) and strings (as well as other types of sequences). To illustrate the point, let s say you wanted to make a function called add that added two things together. You could simply define it like this (equivalent to, but less efficient than, the add function from the operator module): def add(x, y): return x+y This would also work with many kinds of arguments: >>> add(1, 2) 3 >>> add('Fish', 'license') 'Fishlicense' This might seem silly, but the point is that the arguments can be anything that supports addition.1 If you want to write a function that prints a message about the length of an object, all that s required is that it have a length (that the len function work on it): def length_message(x): print "The length of", repr(x), "is", len(x)

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Dim col as DataColumn = dt.Columns("ContactName") Dim col as DataColumn = dt.Columns(2)

Once you have a Template object, you can pass it data by giving it a context. A context is simply a set of variables and their associated values. A template uses this to populate its variable tags and evaluate its block tags. A context is represented in Django by the Context class, which lives in the django.template module. Its constructor takes one optional argument: a dictionary mapping variable names to variable values. Call the Template object s render() method with the context to fill the template: >>> >>> >>> >>> 'My from django.template import Context, Template t = Template("My name is {{ name }}.") c = Context({"name": "Stephane"}) t.render(c) name is Stephane.'

A data row represents the data in a row. You can programmatically add, update, or delete rows in a data table. To access rows in a data table, you use its Rows property, whose indexer accepts a zero-based index, for example (where dt is a data table):

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