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How to remove the left part of a string?

...f "=" in line: param, value = line.split("=",1) Then param is "Path" and value is the rest after the first =. share | improve this answer | follow | ...
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Lambda capture as const reference?

...entifier & identifier this The text only mention capture-by-copy and capture-by-reference and doesn't mention any sort of const-ness. Feels like an oversight to me, but I haven't followed the standardization process very closely. ...
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Undo git mv (rename)

... Non-cheeky answer: git mv file2 file1 Updates the index for both old and new paths automatically. Check documentation of git mv share | improve this answer | follow ...
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How to check if a view controller is presented modally or pushed on a navigation stack?

...st false parameter in the return statement do? – damjandd Mar 27 '19 at 10:51 you need change to let presentingIsNavig...
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Fixed stroke width in SVG

...ncludes writing a small script to do the same, basically inverting the CTM and applying it on the elements that shouldn't scale. If you want sharper lines you can also disable antialiasing (shape-rendering=optimizeSpeed or shape-rendering=crispEdges) and/or play with the positioning. ...
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Python: Select subset from list based on index set

... @PreludeAndFugue: If there are two equivalent options it's good to know which one is faster, and use that one right away. – fuenfundachtzig Jul 5 '10 at 11:42 ...
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scipy.misc module has no attribute imread?

... READ THE NEXT ANSWER (@Shadab's answer) as well, and note that it's just imageio, not scipy.imageio. – Terry Brown Aug 26 '19 at 17:11 ...
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How can I enable or disable the GPS programmatically on Android?

I know that the question about turning on/off GPS programatically on android has been discussed many times , and the answer is always the same: ...
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Search for “does-not-contain” on a DataFrame in pandas

I've done some searching and can't figure out how to filter a dataframe by df["col"].str.contains(word) , however I'm wondering if there is a way to do the reverse: filter a dataframe by that set's compliment. eg: to the effect of !(df["col"].str.contains(word)) . ...
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Remove duplicated rows

...the fourth column no longer 'distinguishes' them, # so they're duplicates and thrown out. share | improve this answer | follow | ...