Shadow Raven added the comment:
Oh okay thanks
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stage: -> resolved
status: open -> closed
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Python tracker
<https://bugs.python.org/issue34923>
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New submission from Shadow Raven :
Some decimals, when multiplied with others, give wrong solutions:
6.23*5 = 31.152
6.89*5 = 34.446
There are more but I can't list all.
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messages: 327290
nosy: Shadow Raven
priority: normal
severity: normal
status: open
New submission from Raven Demeyer raven.deme...@gmail.com:
Python 3 is not backwards compatible with Python 2.
Example:
Python 2: print 'foo'
Python 3: print(bar)
Problem:
Code written for Python during version 2 cannot be used/compiled in version 3
Solution:
Just like any decent self
On 25 дек, 06:47, Joel Koltner zapwiredashgro...@yahoo.com wrote:
Is there an easy-to-use, function-based cross-platform GUI toolkit for
Python out there that's a little more sophisticated than EasyGui? EasyGui
looks good, but it's a little more restrictive than what I'd like to have, yet
I'm
Hi,
I compiled a python script using cxFreeze because I need a standalone
application, while the Windows version runs without any python
installation the linux version of the executable is linked to
libpython2.3.so.1.0 = /usr/lib/libpython2.3.so.1.0
thus the end user have to install python 2.3
I hope this can help:
http://wxwidgets.org/manuals/2.6.1/wx_wxtreectrl.html#wxtreectrlsetitemfont
http://wxwidgets.org/manuals/2.6.1/wx_wxtreectrl.html#wxtreectrlsetitembold
This pages are from the wxwidgets api reference but the functions are
the same in wxPython
Bye
Ale
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The first suggestion, the one by Robert Kern, resolved my problem:
Raven wrote:
Thanks to all of you guys, I could resolve my problem using the
logarithms as proposed by Robert.
Then the other guys gave alternative solutions so I tried them out. So
form me the suggestions offered are more than
Travis E. Oliphant wrote:
Notice the keyword for the comb function (in scipy) lets you use it to
compute exact values. SciPy does not just automatically use the long
integer because this will always slow you down.
comb(N, k, exact=0)
Combinations of N things taken k at a time.
If
Well, what to say? I am very happy for all the solutions you guys have
posted :-)
For Paul:
I would prefer not to use Stirling's approximation
The problem with long integers is that to calculate the hypergeometric
I need to do float division and multiplication because integer division
returns 0.
Scott David Daniels ha scritto:
You should really look into the timeit module -- you'll get nice
solid timings slightly easier to tweak.
This seems a very interesting module, I will give it a try as soon as
possible. Thanks Scott.
Ale
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Bengt Richter wrote:
ISTM you wouldn't get zero if you scaled by 10**significant_digits (however
many
you require) before dividing. E.g., expected hits per trillion (or septillion
or whatever)
expresses probability too. Perhaps that could work in your calculation?
Regards,
Bengt
Bengt Richter wrote:
ISTM you wouldn't get zero if you scaled by 10**significant_digits (however
many
you require) before dividing. E.g., expected hits per trillion (or septillion
or whatever)
expresses probability too. Perhaps that could work in your calculation?
Regards,
Bengt
Thanks Steven for your very interesting post.
This was a critical instance from my problem:
from scipy import comb
comb(14354,174)
inf
The scipy.stats.distributions.hypergeom function uses the scipy.comb
function, so it returned nan since it tries to divide an infinite. I
did not tried to
Thanks to all of you guys, I could resolve my problem using the
logarithms as proposed by Robert. I needed to calculate the factorial
for genomic data, more specifically for the number of genes in the
human genome i.e. about 30.000 and that is a big number :-)
I didn't know gmpy
Thanks a lot,
Hi to all, I need to calculate the hpergeometric distribution:
choose(r, x) * choose(b, n-x)
p(x; r,b,n) = -
choose(r+b, n)
choose(r,x) is the binomial coefficient
I use the factorial to calculate the above
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