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How can I configure NetBeans to insert tabs instead of a bunch of spaces?
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Go to Tools-> Options-> Editor-> Formatting and uncheck Expand tabs to spaces:
Ensure you also pick coherent values for "Number of Spaces per indent" and "Tab Size".
Additionally, you can check all the items in the Language combo and make sure they all use the ge...
Why `null >= 0 && null
...utine that increments the value of a variable by 1 if its type is number and assigns 0 to the variable if not, where the variable is initially null or undefined .
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SQL Case Sensitive String Compare
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Yes, the Standard approach is to use a case-insensitive collation, though the collations themselves are vendor-specific. Is yours SQL Server syntax?
– onedaywhen
Oct 20 '10 at 9:24
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How do I generate random numbers in Dart?
How do I generate random numbers using Dart?
13 Answers
13
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Callback after all asynchronous forEach callbacks are completed
...=== array.length) {
callback();
}
});
});
(thanks to @vanuan and others) This approach guarantees that all items are processed before invoking the "done" callback. You need to use a counter that gets updated in the callback. Depending on the value of the index parameter does not provid...
If list index exists, do X
In my program, user inputs number n , and then inputs n number of strings, which get stored in a list.
12 Answers
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Does JavaScript have “Short-circuit” evaluation?
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So short circuit it is the standard in JS?
– GibboK
Sep 23 '12 at 17:42
1
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Structs in Javascript
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The only difference between object literals and constructed objects are the properties inherited from the prototype.
var o = {
'a': 3, 'b': 4,
'doStuff': function() {
alert(this.a + this.b);
}
};
o.doStuff(); // displays: 7
You could make a struct factor...
Extracting just Month and Year separately from Pandas Datetime column
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If you want new columns showing year and month separately you can do this:
df['year'] = pd.DatetimeIndex(df['ArrivalDate']).year
df['month'] = pd.DatetimeIndex(df['ArrivalDate']).month
or...
df['year'] = df['ArrivalDate'].dt.year
df['month'] = df['ArrivalDat...
LINQ with groupby and count
...g>, where each Grouping itself exposes the Key used to create the group and also is an IEnumerable<T> of whatever items are in your original data set. You just have to call Count() on that Grouping to get the subtotal.
foreach(var line in data.GroupBy(info => info.metric)
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