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How can I get a list of all classes within current module in Python?
I've seen plenty of examples of people extracting all of the classes from a module, usually something like:
11 Answers
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Why does += behave unexpectedly on lists?
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The general answer is that += tries to call the __iadd__ special method, and if that isn't available it tries to use __add__ instead. So the issue is with the difference between these special methods.
The __iadd__ special method is for an in-place addition, that i...
What are the differences between NP, NP-Complete and NP-Hard?
... the technical definitions require quite some time to understand. First of all, let's remember a preliminary needed concept to understand those definitions.
Decision problem: A problem with a yes or no answer.
Now, let us define those complexity classes.
P
P is a complexity class that repres...
Iterate over object attributes in python
...foo = 1
... bar = 'hello'
... def func(self):
... return 'call me'
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>>> obj = Cls()
calling dir on the object gives you back all the attributes of that object, including python special attributes. Although some object attributes are callable, such as methods.
>>&...
Best way to require all files from a directory in ruby?
What's the best way to require all files from a directory in ruby ?
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Absolute vs relative URLs
...ed Jan 5 '10 at 9:33
Daniel VassalloDaniel Vassallo
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Build an ASCII chart of the most commonly used words in a given text [closed]
... LabVIEW's very happy in its hardware control and measurement niche, but really pretty awful for string manipulation.
– Joe Z
Jul 4 '10 at 6:23
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How to enumerate an object's properties in Python?
...oes not return dynamic members (i.e., object attributes and methods dynamically defined by that object's __getattr__() method or similar magic). In all likelihood, your desired file.ImplementationName property is defined dynamically and hence not available to vars() or dir().
–...
How to combine two or more querysets in a Django view?
...sets into a list is the simplest approach. If the database will be hit for all querysets anyway (e.g. because the result needs to be sorted), this won't add further cost.
from itertools import chain
result_list = list(chain(page_list, article_list, post_list))
Using itertools.chain is faster than...
Relationship between SciPy and NumPy
SciPy appears to provide most (but not all [1]) of NumPy's functions in its own namespace. In other words, if there's a function named numpy.foo , there's almost certainly a scipy.foo . Most of the time, the two appear to be exactly the same, oftentimes even pointing to the same function object.
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