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Now _ _inaccessible is inaccessible to the outside world, while it can still be used inside the class (for example, from accessible): >>> s = Secretive() >>> s.__inaccessible() Traceback (most recent call last): File "<pyshell#112>", line 1, in s.__inaccessible() AttributeError: Secretive instance has no attribute '__inaccessible' >>> s.accessible() The secret message is: Bet you can't see me... Although the double underscores are a bit strange, this seems like a standard private method, as found in other languages. What s not so standard is what actually happens. Inside a class definition, all names beginning with a double underscore are translated by adding a single underscore and the class name to the beginning: >>> Secretive._Secretive__inaccessible <unbound method Secretive.__inaccessible> If you know how this works behind the scenes, it is still possible to access private methods outside the class, even though you re not supposed to: >>> s._Secretive__inaccessible() Bet you can't see me... So, in short, you can t be sure that others won t access the methods and attributes of your objects, but this sort of name-mangling is a pretty strong signal that they shouldn t. If you don t want the name-mangling effect, but you still want to send a signal for other objects to stay away, you can use a single initial underscore. This is mostly just a convention, but has some practical effects. For example, names with an initial underscore aren t imported with starred imports (from module import *).



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You ll get all the rows and columns from the Customers table, filter the result for only German customers, and sort it by company. You ll use a separate query to find products, and fill two data tables in the same dataset. 1. Add a new Console Application project named FilterSort to your 08 solution. 2. Replace the code in Module1.vb with the code in Listing 8-2.





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The result of refining a QuerySet is itself a QuerySet, so it s possible to chain refinements together, for example: >>> qs = Entryobjectsfilter(headline__startswith='What') >>> qs = qs.exclude(pub_date__gte=datetimedatetimenow()) >>> qs = qsfilter(pub_date__gte=datetimedatetime(2005, 1, 1)) This takes the initial QuerySet of all entries in the database, adds a filter, then an exclusion, and then another filter The final result is a QuerySet containing all entries with a headline that starts with What that were published between January 1, 2005, and the current day It s important to point out here that QuerySets are lazy the act of creating a QuerySet doesn t involve any database activity In fact, the three preceding lines don t make any database calls; you can chain filters together all day long and Django won t actually run the query until the QuerySet is evaluated.

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Imports System Imports System.Data Imports System.Data.SqlClient Module Module1 Sub Main() ' Set up connection string Dim connString As String = _ "server = .\sqlexpress;" _ & "integrated security = true;" _ & "database = northwind" ' Set up first query Dim sql1 As String = _ "select " _ & " * " _ & "from " _ & " customers " ' Set up second query Dim sql2 As String = _ "select " _

You can evaluate a QuerySet in any following ways: Iterating: A QuerySet is iterable, and it executes its database query the first time you iterate over it For example, the following QuerySet isn t evaluated until it s iterated over in the for loop: qs = Entryobjectsfilter(pub_date__year=2006) qs = qsfilter(headline__icontains="bill") for e in qs: print eheadline This prints all headlines from 2006 that contain bill but causes only one database hit Printing it: A QuerySet is evaluated when you call repr() on it This is for convenience in the Python interactive interpreter, so you can immediately see your results when using the API interactively Slicing: As explained in the upcoming Limiting QuerySets section, a QuerySet can be sliced using Python s array-slicing syntax.

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Note Some languages support several degrees of privacy for its member variables (attributes). Java, for

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