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How to find a min/max with Ruby
I want to use min(5,10) , or Math.max(4,7) . Are there functions to this effect in Ruby?
6 Answers
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Subtract 7 days from current date
It seems that I can't subtract 7 days from the current date. This is how i am doing it:
11 Answers
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How do I run IDEA IntelliJ on Mac OS X with JDK 7?
I use Mac OS X 10.8.2, and use JDK 7. Now I downloaded the latest version of IDEA IntelliJ, 11. But it doesn't seem to start without JDK 6. Is there any workaround?
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Captured variable in a loop in C#
...string x in foo) // And again, despite how it reads out loud
See section 7.14.4.2 of the C# 3.0 spec for more details of this, and my article on closures has more examples too.
Note that as of the C# 5 compiler and beyond (even when specifying an earlier version of C#), the behavior of foreach ch...
Git for Windows - The Program can't start because libiconv2.dll is missing
...n certain commands (like git push, for example) from a git Bash on Windows 7 (64bit) I get the error:
25 Answers
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How to select rows from a DataFrame based on column values?
... 6
# 4 foo two 4 8
# 5 bar two 5 10
# 6 foo one 6 12
# 7 foo three 7 14
print(df.loc[df['A'] == 'foo'])
yields
A B C D
0 foo one 0 0
2 foo two 2 4
4 foo two 4 8
6 foo one 6 12
7 foo three 7 14
If you have multiple values you...
Inheriting constructors
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17
@Mikhail: Both clang and g++ should now support inheriting constructors: clang.llvm.org/cxx_status.html gcc.gnu.org/projects/cxx0x.html ...
How to convert a data frame column to numeric type?
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277
Since (still) nobody got check-mark, I assume that you have some practical issue in mind, mostl...
Booleans, conditional operators and autoboxing
...result of applying capture conversion (§5.1.10) to lub(T1, T2) (§15.12.2.7).
S1 == <special null type> (see §4.1)
S2 == boolean
T1 == box(S1) == <special null type> (see last item in list of boxing conversions in §5.1.7)
T2 == box(S2) == `Boolean
lub(T1, T2) == Boolean
So the t...
pandas: filter rows of DataFrame with operator chaining
... A B C D
a 1 4 9 1
b 4 5 0 2
c 5 5 1 0
d 1 3 9 6
In [97]: df.mask('A', 1)
Out[97]:
A B C D
a 1 4 9 1
d 1 3 9 6
In [98]: df.mask('A', 1).mask('D', 6)
Out[98]:
A B C D
d 1 3 9 6
s...