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Both create a function that returns the square of its argument, and both bind the variable foo to that function. The name foo may be defined in the global (module) scope, or it may be local to some function or method. The same thing happens when you define a class; all the code in the class statement is executed in a special namespace the class namespace. This namespace is accessible later by all members of the class. Not all Python programmers know that class definitions are simply code sections that are executed, but it can be useful information. For example, you aren t restricted to def statements: >>> class C: print 'Class C being defined...' Class C being defined... >>> Okay, that was a bit silly. But consider the following: class MemberCounter: members = 0 def init(self): MemberCounter.members += 1 >>> >>> >>> 1 >>> >>> >>> 2 m1 = MemberCounter() m1.init() MemberCounter.members m2 = MemberCounter() m2.init() MemberCounter.members



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Returns the latest object in the table, by date, using the field_name provided as the date field. This example returns the latest Entry in the table, according to the pub_date field: >>> Entry.objects.latest('pub_date') If your model s Meta specifies get_latest_by, you can leave off the field_name argument to latest(). Django will use the field specified in get_latest_by by default. Like get(), latest() raises DoesNotExist if an object doesn t exist with the given parameters.

Note that you could have used an ordinal index (for example, dt.Columns(1)) if you knew what the index for the column was, but using * to select all columns makes this less reliable since the position of a column may change if the database table schema changes.





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Field lookups are how you specify the meat of an SQL WHERE clause. They re specified as keyword arguments to the QuerySet methods filter(),exclude(), and get(). Basic lookup keyword arguments take the form field__lookuptype=value (note the double underscore). For example, the following: >>> Entry.objects.filter(pub_date__lte='2006-01-01') translates (roughly) into this SQL: SELECT * FROM blog_entry WHERE pub_date <= '2006-01-01'; If you pass an invalid keyword argument, a lookup function will raise TypeError. The supported lookup types follow.

You can modify a row using the same technique. You simply select the appropriate row and set its columns to whatever values you want, consistent with the column data types, of course. The following line shows the City column of the first row of the dataset being changed to Wilmington:

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In the preceding code, a variable is defined in the class scope, which can be accessed by all the members (instances), in this case to count the number of class members. Note the use of init to initialize all the instances: I ll automate that in 9. This class scope variable is accessible from every instance as well, just as methods are: >>> m1.members 2 >>> m2.members 2 What happens when you rebind the members attribute in an instance >>> m1.members = 'Two' >>> m1.members 'Two' >>> m2.members 2 The new members value has been written into an attribute in m1, shadowing the classwide variable. This mirrors the behavior of local and global variables.

' Modify City in first row dt.Rows(0)("city") = "Wilmington"

Performs an exact match: >>> Entry.objects.get(headline__exact="Man bites dog") This matches any object with the exact headline Man bites dog . If you don t provide a lookup type that is, if your keyword argument doesn t contain a double underscore the lookup type is assumed to be exact. For example, the following two statements are equivalent:

Next you added a new row to the data table:

>>> Blog.objects.get(id__exact=14) # Explicit form >>> Blog.objects.get(id=14) # __exact is implied This is for convenience, because exact lookups are the common case.

As I discussed earlier in the chapter, subclasses expand on the definitions in their superclasses. You indicate the superclass in a class statement by writing it in parentheses after the class name: class Filter: def init(self): self.blocked = [] def filter(self, sequence): return [x for x in sequence if x not in self.blocked] class SPAMFilter(Filter): # SPAMFilter is a subclass of Filter def init(self): # Overrides init method from Filter superclass self.blocked = ['SPAM'] Filter is a general class for filtering sequences. Actually it doesn t filter out anything: >>> >>> >>> [1, f = Filter() f.init() f.filter([1, 2, 3]) 2, 3]

' Add a row Dim newRow As DataRow = dt.NewRow() newRow("firstname") = "Roy" newRow("lastname") = "Beatty" newRow("titleofcourtesy") = "Sir" newRow("city") = "Birmingham" newRow("country") = "UK" dt.Rows.Add(newRow)

Performs a case-insensitive exact match: >>> Blog.objects.get(name__iexact='beatles blog') This will match 'Beatles Blog', 'beatles blog', 'BeAtLes BLoG', and so forth.

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