By Mark Pilgrim
* speedy begin to studying python―very instance orientated procedure
* publication has its personal website validated via the writer: http://diveintopython.org/
Author is widely known within the Open resource neighborhood and the ebook has a different fast method of studying an item orientated language.
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Extra info for Dive into Python
Sample text
Note: Python vs. Perl: from module import from module import * in Python is like use module in Perl; import module in Python is like require module in Perl. Note: Python vs. * in Java; import module in Python is like import module in Java. 4. import module vs. FunctionType Dive Into Python (1) 40
You already know about callable, getattr, and in. As you saw in the previous section, the expression getattr(object, method) returns a function object if object is a module and method is the name of a function in that module. So this expression takes an object, named object, getting a list of the names of its attributes, methods, functions, and a few other things, and then filtering that list to weed out all the stuff that we don't care about. We do the weeding out by taking the name of each attribute/method/function and getting a reference to the real thing, via the getattr function.
Append("Moe") directly. But you didn't call the function directly; you specified the function name as a string instead. (4) getattr also works on dictionaries. (5) In theory, getattr would work on tuples, except that tuples have no methods, so getattr will raise an exception no matter what attribute name you give. getattr isn't just for built−in datatypes. It also works on modules. 12. FunctionType 1 >>> callable(getattr(object, method)) (5) 1 (1) (2) (3) (4) (5) This returns a reference to the buildConnectionString function in the odbchelper module, which we studied in Getting To Know Python.