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How to strip all whitespace from string

...d to the top? – rbp Jun 9 '13 at 15:32 Python 3 code in answer does work. Comment from @DanMenes is obsolete ...
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What is the purpose of double curly braces in React's JSX syntax?

... an object literal inlined in the prop value. It's the same as var obj = {__html: rawMarkup}; <span dangerouslySetInnerHTML={obj} /> share | improve this answer | fo...
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MongoDB: Combine data from multiple collections into one..how?

...ns). You need to have some key in both collections that you can use as an _id. For example, let's say you have a users collection and a comments collection and you want to have a new collection that has some user demographic info for each comment. Let's say the users collection has the following ...
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How to Free Inode Usage?

...ries that contain lots of files, this script may help: #!/bin/bash # count_em - count files in all subdirectories under current directory. echo 'echo $(ls -a "$1" | wc -l) $1' >/tmp/count_em_$$ chmod 700 /tmp/count_em_$$ find . -mount -type d -print0 | xargs -0 -n1 /tmp/count_em_$$ | sort -n rm ...
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Get most recent file in a directory on Linux

...oderator kittendmckee --- ex-moderator kitten 87.6k2323 gold badges127127 silver badges219219 bronze badges ...
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How do I calculate the normal vector of a line segment?

...000/svg\"\u003e\u003cpath d=\"M46.1709 9.17788C46.1709 8.26454 46.2665 7.94324 47.1084 7.58816C47.4091 7.46349 47.7169 7.36433 48.0099 7.26993C48.9099 6.97997 49.672 6.73443 49.672 5.93063C49.672 5.22043 48.9832 4.61182 48.1414 4.61182C47.4335 4.61182 46.7256 4.91628 46.0943 5.50789C45.7307 4.9328 4...
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Group by month and year in MySQL

... Mitch DempseyMitch Dempsey 32.3k66 gold badges5959 silver badges7272 bronze badges ...
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Do you have to put Task.Run in a method to make it async?

...l. – Stephen Cleary Jun 8 '17 at 19:32  |  show 15 more comments ...
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In HTML I can make a checkmark with ✓ . Is there a corresponding X-mark?

... 32 It's between the Z and the C on your keyboard. ...
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Pandas: drop a level from a multi-level column index?

... 321 You can use MultiIndex.droplevel: >>> cols = pd.MultiIndex.from_tuples([("a", "b"), ...