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In the previous section, I showed how you could use a bound method just like a function without losing the self parameter. That means that you can use methods in many of the fancy ways that I ve used functions previously, with handy tools such as map, filter, and reduce (see the section Throwing Functions Around in 6). In this section, I provide some examples of these capabilities. They should all be fairly self-explanatory. Let s start by creating a class: class FoodExpert: def init(self): self.goodFood = [] def addGoodFood(self, food): self.goodFood.append(food) def likes(self, x): return x in self.goodFood def prefers(self, x, y): x_rating = self.goodFood.index(x) y_rating = self.goodFood.index(y) if x_rating > y_rating: return y else: return x This class has more code than earlier examples, but it is still pretty simple. It is meant to represent some sort of food expert (as the name implies) who likes only some types of food, and likes some more than others. The init method simply initializes the objects by giving them an attribute called goodFood containing an empty list. The addGoodFood method adds a type of food to the list, where the first food type added is the expert s favorite, the next one is the second choice, and so on. The likes method simply checks whether the expert likes a certain type of food (whether it has been added to goodFood), and finally the prefers method is given two food types (both of which must be liked) and returns the preferred one (based on their position in goodFood). Now, let s play. In the following example, a FoodExpert is created and its taste buds initialized:



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in a database, you need to connect to the database again and explicitly perform the necessary updates.

This is a convenience method for looking up an object and creating one if it doesn t exist. It returns a tuple of (object, created), where object is the retrieved or created object and created is a Boolean specifying whether a new object was created. This method is meant as a shortcut to boilerplate code and is mostly useful for data-import scripts, for example: try: obj = Person.objects.get(first_name='John', last_name='Lennon') except Person.DoesNotExist: obj = Person(first_name='John', last_name='Lennon', birthday=date(1940, 10, 9)) obj.save() This pattern gets quite unwieldy as the number of fields in a model increases. The previous example can be rewritten using get_or_create() like so: obj, created = first_name last_name defaults ) Person.objects.get_or_create( = 'John', = 'Lennon', = {'birthday': date(1940, 10, 9)}





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Let s update a row and add a row in a data table. 1. Add a new Console Application project named ModifyDataTable to your 08 solution. 2. Replace the code in Module1.vb with the code in Listing 8-4.

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Any keyword arguments passed to get_or_create() except an optional one called defaults will be used in a get() call. If an object is found, get_or_create() returns a tuple of that object and False. If an object is not found, get_or_create() will instantiate and save a new object, returning a tuple of the new object and True. The new object will be created according to this algorithm: defaults = kwargs.pop('defaults', {}) params = dict([(k, v) for k, v in kwargs.items() if '__' not in k]) params.update(defaults) obj = self.model(**params) obj.save() In English, that means start with any non-'defaults' keyword argument that doesn t contain a double underscore (which would indicate a nonexact lookup). Then add the contents of defaults, overriding any keys if necessary, and use the result as the keyword arguments to the model class. If you have a field named defaults and want to use it as an exact lookup in get_or_create(), just use 'defaults__exact' like so: Foo.objects.get_or_create( defaults__exact = 'bar', defaults={'defaults': 'baz'} ) As mentioned earlier, get_or_create() is mostly useful in scripts that need to parse data and create new records if existing ones aren t available. But if you need to use get_or_create() in a view, please make sure to use it only in POST requests unless you have a good reason not to. GET requests shouldn t have any effect on data; use POST whenever a request to a page has a side effect on your data.

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