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Bitwise operation and usage
...0 1 1 | 1 1 1 | 1 0
One example is if you only want the lower 4 bits of an integer, you AND it with 15 (binary 1111) so:
201: 1100 1001
AND 15: 0000 1111
------------------
IS 9 0000 1001
The zero bits in 15 in that case effectively act as a filter, forcing the bits in the r...
Is there a Python function to determine which quarter of the year a date is in?
...eted), were buggy -- not doing the -1 before the division, and dividing by 4 instead of 3. Since .month goes 1 to 12, it's easy to check for yourself what formula is right:
for m in range(1, 13):
print m//4 + 1,
print
gives 1 1 1 2 2 2 2 3 3 3 3 4 -- two four-month quarters and a single-month ...
Python: Ignore 'Incorrect padding' error when base64 decoding
I have some data that is base64 encoded that I want to convert back to binary even if there is a padding error in it. If I use
...
npm windows install globally results in npm ERR! extraneous
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answered Mar 25 '14 at 4:30
Kyle Robinson YoungKyle Robinson Young
13.5k11 gold badge4444 silver badges3838 bronze badges
...
Difference between android-support-v7-appcompat and android-support-v4
I wanted to know the difference between android-support-v4.jar
and android-support-v7-appcompat.jar . If I want to add appcompat Action Bar in my application do I need to add both android-support-v7-appcompat.jar and android-support-v4.jar or only android-support-v7-appcompat.jar .
...
Entity Framework 4 / POCO - Where to start? [closed]
...
answered Jun 10 '10 at 4:22
KellySandwichesKellySandwiches
93199 silver badges1010 bronze badges
...
A generic list of anonymous class
...
438
You could do:
var list = new[] { o, o1 }.ToList();
There are lots of ways of skinning this ...
What's the difference between utf8_general_ci and utf8_unicode_ci?
...
1646
These two collations are both for the UTF-8 character encoding. The differences are in how tex...
Find row where values for column is maximal in a pandas DataFrame
...B','C'])
>>> df
A B C
0 1.232853 -1.979459 -0.573626
1 0.140767 0.394940 1.068890
2 0.742023 1.343977 -0.579745
3 2.125299 -0.649328 -0.211692
4 -0.187253 1.908618 -1.862934
>>> df['A'].argmax()
3
>>> df['B'].argmax()
4
>>> df['C'...
Numpy array dimensions
... a function, really)
– wim
Jul 29 '14 at 12:53
@wim more specifically property is a class. In the case of class proper...