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Each field type, except for ForeignKey, ManyToManyField, and OneToOneField, takes an optional first positional argument a verbose name. If the verbose name isn t given, Django will automatically create it using the field s attribute name, converting underscores to spaces. In this example, the verbose name is "Person's first name": first_name = models.CharField("Person's first name", maxlength=30) In this example, the verbose name is "first name": first_name = models.CharField(maxlength=30) ForeignKey, ManyToManyField, and OneToOneField require the first argument to be a model class, so use the verbose_name keyword argument: poll = models.ForeignKey(Poll, verbose_name="the related poll") sites = models.ManyToManyField(Site, verbose_name="list of sites") place = models.OneToOneField(Place, verbose_name="related place") The convention is not to capitalize the first letter of the verbose_name. Django will automatically capitalize the first letter where it needs to.



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3. Make this the startup project, and run it with Ctrl+F5. You should see the result in Figure 7-3. (Only the first 20 rows are displayed in the figure.)

def power(x, n): result = 1 for i in range(n): result *= x return result This is a sweet and simple little function, but again you can change the definition to a recursive one: power(x, 0) is 1 for all numbers x. power(x, n) for n > 0 is the product of x and power(x, n-1). Again, as you can see, this gives exactly the same result as in the simpler, iterative definition. Understanding the definition is the hardest part implementing it is easy: def power(x, n): if n == 0: return 1 else: return x * power(x, n-1) Again, I have simply translated my definition from a slightly formal textual description into a programming language (Python).





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You queried the Products table for ProductName, UnitPrice, UnitsInStock, and Discontinued:

Clearly, the power of relational databases lies in relating tables to each other. Django offers ways to define the three most common types of database relationships: many-to-one, manyto-many, and one-to-one. However, the semantics of one-to-one relationships are being revisited as this book goes to print, so they re not covered in this section. Check the online documentation for the latest information.

' Set up query Dim sql As String = _ "select " _ & " productname, " _ & " unitprice, " _ & " unitsinstock, " _ & " discontinued " _ & "from " _ & " products "

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To define a many-to-one relationship, use ForeignKey. You use it just like any other Field type, by including it as a class attribute of your model. ForeignKey requires a positional argument: the class to which the model is related. For example, if a Car model has a Manufacturer that is, a Manufacturer makes multiple cars but each Car has only one Manufacturer use the following definitions: class Manufacturer(models.Model): ... class Car(models.Model): manufacturer = models.ForeignKey(Manufacturer) ... To create a recursive relationship an object that has a many-to-one relationship with itself use models.ForeignKey('self'): class Employee(models.Model): manager = models.ForeignKey('self') If you need to create a relationship on a model that has not yet been defined, you can use the name of the model, rather than the model object itself: class Car(models.Model): manufacturer = models.ForeignKey('Manufacturer') ... class Manufacturer(models.Model): ... Note, however, that you can only use strings to refer to models in the same models.py file you cannot use a string to reference a model in a different application, or to reference a model that has been imported from elsewhere. Behind the scenes, Django appends "_id" to the field name to create its database column name. In the preceding example, the database table for the Car model will have a manufacturer_id column. (You can change this explicitly by specifying db_column; see the earlier db_column section.) However, your code should never have to deal with the database column name, unless you write custom SQL. You ll always deal with the field names of your model object.

The reason you chose these columns was to deal with different kinds of data types and show how to use relevant typed accessors to obtain the correct results.

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