By John Goerzen, Brandon Rhodes
Foundations of Python community Programming, 3rd variation, covers the entire vintage issues present in the second one version of this booklet, together with community protocols, community info and mistakes, e mail, server structure, and HTTP and internet purposes, plus updates for Python 3.
Some of the recent subject matters during this variation include:
• wide insurance of the up to date SSL help in Python 3
• tips to write your individual asynchronous I/O loop.
• an outline of the "asyncio" framework that incorporates Python 3.4.
• How the Flask net framework connects URLs in your Python code.
• How cross-site scripting and cross-site request forgery can be utilized to assault your site, and the way to guard opposed to them.
• How a full-stack net framework like Django can automate the around journey out of your database to the reveal and back.
If you're a Python programmer who wishes a deep figuring out of ways to take advantage of Python for network-related initiatives and functions, this can be the booklet for you. From internet software builders, to structures integrators, to approach administrators—this publication has every thing it's good to recognize.
Read or Download Foundations of Python Network Programming (3rd Edition) PDF
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Additional info for Foundations of Python Network Programming (3rd Edition)
Example text
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.