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Post-install script with Python setuptools
Is it possible to specify a post-install Python script file as part of the setuptools setup.py file so that a user can run the command:
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Permanently adding a file path to sys.path in Python
...is file in another file to use the file. To do so, I ran the following in IPython.
2 Answers
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Suppress Scientific Notation in Numpy When Creating Array From Nested List
I have a nested Python list that looks like the following:
4 Answers
4
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Which is better in python, del or delattr?
... The dis module. You can run it from the command line using python -m dis and typing in some code, or disassemble a function with dis.dis().
– Miles
Jul 13 '09 at 18:04
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Calculating Pearson correlation and significance in Python
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@dfrankow I think it's because imap cannot handle float. python gives an TypeError: unsupported operand type(s) for -: 'itertools.imap' and 'float' at num = psum - (sum_x * sum_y/n)
– alvas
Jan 24 '13 at 14:17
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Python argparse ignore unrecognised arguments
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Nor did I! I even missed it in the docs docs.python.org/library/…. Thanks
– joedborg
Oct 10 '12 at 14:11
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What is the pythonic way to detect the last element in a 'for' loop?
I'd like to know the best way (more compact and "pythonic" way) to do a special treatment for the last element in a for loop. There is a piece of code that should be called only between elements, being suppressed in the last one.
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Extract a part of the filepath (a directory) in Python
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In Python 3.4 you can use the pathlib module:
>>> from pathlib import Path
>>> p = Path('C:\Program Files\Internet Explorer\iexplore.exe')
>>> p.name
'iexplore.exe'
>>> p.suffix
'.exe'
>&g...
How is set() implemented?
I've seen people say that set objects in python have O(1) membership-checking. How are they implemented internally to allow this? What sort of data structure does it use? What other implications does that implementation have?
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Are list-comprehensions and functional functions faster than “for loops”?
In terms of performance in Python, is a list-comprehension, or functions like map() , filter() and reduce() faster than a for loop? Why, technically, they run in a C speed , while the for loop runs in the python virtual machine speed ?.
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