Beginning Python: From Novice to Professional (2nd Edition) by Magnus Lie Hetland

By Magnus Lie Hetland

Achieve a basic figuring out of Python's syntax and lines with the second one version of starting Python, an up–to–date creation and useful reference. protecting a wide range of Python–related programming subject matters, together with addressing language internals, database integration, community programming, and internet prone, you'll be guided via sound improvement rules. Ten accompanying tasks will make sure you can get your fingers soiled in no time.

Updated to mirror the newest in Python programming paradigms and several other of the main the most important positive factors present in Python 3.0 (otherwise referred to as Python 3000), complex themes, akin to extending Python and packaging/distributing Python functions, also are coated.

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No, to truly keep users from assigning new values, __set__() is required, but it obviously can't do its normal job. So, what can it do? It can raise an exception. AttributeError is probably the best option of the built-in exceptions, but the functionality is almost unique enough to make a custom exception. It's up to you, but the examples use AttributeError. Now that the attribute can't be changed, how does one supply it with its original value? Trying to send it in through the descriptor's constructor would simply end up with the same value for every instance.

Often, this case pops up because the descriptor is purposely storing the attribute under its own name, which is almost guaranteed to prevent name conflicts. But it's still possible that an outside data descriptor has the same name as where the main descriptor is trying to store its data. In order to avoid this, it is preferable to always directly reference the instance's __dict__. Another good reason is that it makes it more explicit and obvious where the data is being stored. The next thing to be figured out is how the descriptor knows where to store the data.

Set-it-and-forget-it Descriptors Now set-it-and-forget-it descriptors can finally be explained. Of the three methods in the descriptor protocol, these descriptors generally only implement __set__(), as seen in the example. That's not always the case, though. For example the following lazy initialization descriptor only uses __get__(). __name__] = value return value This lazy descriptor is also a decorator over a function, which it replaces and uses to do the lazy initialization. In this case, and in the case of other set-it-and-forget-it descriptors, the descriptor sets the value directly onto the instance, using the same name the descriptor is referenced by.

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