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Regular expression to search for Gadaffi
I'm trying to search for the word Gadaffi. What's the best regular expression to search for this?
15 Answers
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Correct way to detach from a container without stopping it
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Update: As mentioned in below answers Ctrl+p, Ctrl+q will now turn interactive mode into daemon mode.
Well Ctrl+C (or Ctrl+\) should detach you from the container but it will kill the container because your main process is a bash.
A little lesso...
How to solve java.lang.NoClassDefFoundError?
I've tried both the example in Oracle's Java Tutorials . They both compile fine, but at run-time, both come up with this error:
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StringBuilder vs String concatenation in toString() in Java
Given the 2 toString() implementations below, which one is preferred:
18 Answers
18
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C# operator overload for `+=`?
I am trying to do operator overloads for += , but I can't. I can only make an operator overload for + .
10 Answers
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How to interpolate variables in strings in JavaScript, without concatenation?
...s syntax:
`String text ${expression}`
Template literals are enclosed by the back-tick (` `) (grave accent) instead of double or single quotes.
This feature has been introduced in ES2015 (ES6).
Example
var a = 5;
var b = 10;
console.log(`Fifteen is ${a + b}.`);
// "Fifteen is 15.
How neat...
How to get arguments with flags in Bash
I know that I can easily get positioned parameters like this in bash:
11 Answers
11
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How do I catch a PHP fatal (`E_ERROR`) error?
I can use set_error_handler() to catch most PHP errors, but it doesn't work for fatal ( E_ERROR ) errors, such as calling a function that doesn't exist. Is there another way to catch these errors?
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Merge, update, and pull Git branches without using checkouts
I work on a project that has 2 branches, A and B. I typically work on branch A, and merge stuff from branch B. For the merging, I would typically do:
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get list of pandas dataframe columns based on data type
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If you want a list of columns of a certain type, you can use groupby:
>>> df = pd.DataFrame([[1, 2.3456, 'c', 'd', 78]], columns=list("ABCDE"))
>>> df
A B C D E
0 1 2.3456 c d 78
[1 rows x 5 columns]
>>> df.dtypes
A int64
B float64
C ...