Hi,
I found the following quite cryptic code, which basically reads the
first column of some_file into a set.
In Python I am used to seeing much more verbose/explicit code. However,
the example below _may_ actually be faster than the usual for line in ...
Do you consider this code good Python
There has been quite some traffic about mutable and immutable data types
on this list. I understand the issues related to mutable numeric data
types. However, in my special case I don't see a better solution to the
problem.
Here is what I am doing:
I am using a third party library that is
Hi,
If an exception gets raised while I am parsing an input file I would
like to know where (in which line) the error occured. I do not want to
create my own exception class for that purpose and I also do not want to
deal with all possible kinds of exceptions that might occur.
I came up with
Hi,
How do I find out if NaN, infinity and alike is supported on the current
python platform?
I could do the following:
try:
nan = float('NaN')
have_nan = True
except ValueError:
have_nan = False
Is there an 'official' handle for obtaining this information?
Similar: How do I get the
OK, you won. I read in an (regretably old) guidline for improving
Python's performance that you should prefer map() compared to list
comprehensions. Apparently the performance of list comprehensions has
improved a lot, which is great. (Or the overhead of calling map() got
too big, but I hope
Hi:
If I am getting the docs etc. correctly, the string-module is depricated
and is supposed to be removed with the release of Python 3.0.
I still use the module a lot and there are situations in which I don't
know what to do without it. Maybe you can give me some help.
I loved to use
Yeeh, I was expecting something like that. The only reason to use map()
at all is for improving the performance.
That is lost when using list comprehensions (as far as I know). So, this
is *no* option for larger jobs.
Andreas
Skip Montanaro wrote:
upper_list = map(string.upper, list_of_str)
