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Listing 2-1. Indexing Example # Print out a date, given year, month, and day as numbers months = [ 'January', 'February', 'March', 'April', 'May', 'June', 'July', 'August', 'September', 'October', 'November', 'December' ] # A list with one ending for each number from 1 to 31 endings = ['st', 'nd', 'rd'] + 17 * ['th'] \ + ['st', 'nd', 'rd'] + 7 * ['th'] \ + ['st'] year month day = raw_input('Year: ') = raw_input('Month (1-12): ') = raw_input('Day (1-31): ')



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allow_future: A Boolean specifying whether to include future objects on this page, as described in the previous note. This view may also take these common arguments (see Table D-1): allow_empty context_processors extra_context

Simple data binding is a one-to-one association between an individual control property and a single element of a data source. You can use it for controls that show only one value at a time. If you modify the underlying data source, the control s Refresh method updates the bound value, reflecting any changes. To get comfortable with the idea, let s code a small Windows application that uses simple data binding to bind two TextBox controls to two different columns of the Northwind Employees table.





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In this application, you ll bind two values to two text boxes to display the first and last names of an employee. 1. In VBE, create a new Windows Application project named 09. When Solution Explorer opens, save the solution. 2. Rename the 09 project SimpleBinding. Change the Text property of Form1 to Simple Binding. 3. Add two text boxes to the form, as in Figure 9-1.

If template_name isn t specified, this view will use the template <app_label>/<model_name>_ archive_week.html by default.

4. Double-click the form and add an Imports statement to Form1.cs for the System.Data.SqlClient namespace. 5. Insert the code in Listing 9-1 into the Form1_Load method.

month_number = int(month) day_number = int(day) # Remember to subtract 1 from month and day to get a correct index month_name = months[month_number-1] ordinal = day + endings[day_number-1] print month_name + ' ' + ordinal + ', ' + year

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In addition to extra_context, the template s context will be as follows: week: A datetime.date object representing the first day of the given week. object_list: A list of objects available for the given week. This variable s name depends on the template_object_name parameter, which is 'object' by default. If template_object_ name is 'foo', this variable s name will be foo_list.

Listing 9-1. Simple Binding: Form1_Load()

View function: django.views.generic.date_based.archive_day This view generates all objects in a given day.

Dim connString As String = _ "server = .\sqlexpress;" _ & "integrated security = true;" _ & "database = northwind"

Just as you use indexing to access individual elements, you can use slicing to access ranges of elements. You do this by using two indices, separated by a colon: >>> tag = '<a href="http://www.python.org">Python web site</a>' >>> tag[9:30] 'http://www.python.org' >>> tag[32:-4] 'Python web site'

urlpatterns = patterns('', # ... ( r'^( P<year>d{4})/( P<month>[a-z]{3})/( P<day>d{2})/$', date_based.archive_day, book_info ), )

Dim sql As String = _ "select " _ & " * " _ & "from " _ & "employees" Dim conn As SqlConnection = New SqlConnection(connString) Dim da As SqlDataAdapter = New SqlDataAdapter(sql, conn) Dim ds As DataSet = New DataSet() da.Fill(ds, "employees") ' Bind to FirstName column of the Employees table TextBox1.DataBindings.Add("text", ds, "employees.firstname") ' Bind to LastName column of the Employees table TextBox2.DataBindings.Add("text", ds, "employees.lastname")

year: The four-digit year for which the archive serves (a string). month: The month for which the archive serves, formatted according to the month_format argument. day: The day for which the archive serves, formatted according to the day_format argument. queryset: A QuerySet of objects for which the archive serves. date_field: The name of the DateField or DateTimeField in the QuerySet s model that the date-based archive should use to determine the objects on the page.

6. Run the code with Ctrl+F5 and you should see the result in Figure 9-2.

As you can see, slicing is very useful for extracting parts of a sequence. The numbering here is very important. The first index is the number of the first element you want to include. However, the last index is the number of the first element after your slice. Consider the following: >>> >>> [4, >>> [1] numbers = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10] numbers[3:6] 5, 6] numbers[0:1]

You filled a dataset with all columns from all rows in Employees:

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