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How do I use Nant/Ant naming patterns?
...re are no .c files in the current directory)
src/*.c matches 2 and 3
*/*.c matches 2 and 3 (because * only matches one level)
**/*.c matches 2, 3, and 4 (because ** matches any number of levels)
bar.* matches 1
**/bar.* matches 1 and 2
**/bar*....
Validate phone number with JavaScript
...ctly. It validates that the phone number is in one of these formats:
(123) 456-7890 or 123-456-7890
26 Answers
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Find integer index of rows with NaN in pandas dataframe
...n use to index back into df, e.g.:
df['a'].ix[index[0]]
>>> 1.452354
For the integer index:
df_index = df.index.values.tolist()
[df_index.index(i) for i in index]
>>> [3, 6]
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NPM - How to fix “No readme data”
...o, when you read that warning, ensure that the problem is not related to a 3rd party package.
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What are all the uses of an underscore in Scala?
...](a: K[T])
Ignored variables
val _ = 5
Ignored parameters
List(1, 2, 3) foreach { _ => println("Hi") }
Ignored names of self types
trait MySeq { _: Seq[_] => }
Wildcard patterns
Some(5) match { case Some(_) => println("Yes") }
Wildcard patterns in interpolations
"abc" match {...
Should all Python classes extend object?
... new-style classes.
Finally, old-style classes have disappeared in Python 3, and inheritance from object has become implicit. So, always prefer new style classes unless you need backward compat with old software.
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python pandas: apply a function with arguments to a series
...documentation). So now you can do:
my_series.apply(your_function, args=(2,3,4), extra_kw=1)
The positional arguments are added after the element of the series.
For older version of pandas:
The documentation explains this clearly. The apply method accepts a python function which should have a ...
Unpacking, extended unpacking and nested extended unpacking
...
3 Answers
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Ruby: What is the easiest way to remove the first element from an array?
...ther answer.
– Jay
Oct 15 '15 at 21:37
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How to randomize (or permute) a dataframe rowwise and columnwise?
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234
Given the R data.frame:
> df1
a b c
1 1 1 0
2 1 0 0
3 0 1 0
4 0 0 0
Shuffle row-wise:
...