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Get the name of the currently executing method

...e as a string, call __method__.to_s instead. Note: This requires Ruby 1.8.7. share | improve this answer | follow | ...
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git stash changes apply to new branch?

... | edited Feb 2 '17 at 11:55 answered Aug 3 '11 at 10:36 ...
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Insert image after each list item

... Be aware that IE7 sucks. – Big McLargeHuge Oct 30 '13 at 18:08 ...
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ADB not recognising Nexus 4 under Windows 7

I'm running on Windows 7, and I've updated all the drivers as it says on the Android developer website regarding using hardware devices. However, Eclipse is still not recognising my Nexus 4 when I try to run the application. The Android device chooser pops up, but it doesn't show anything on the h...
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How to set the title of DialogFragment?

... | edited Feb 19 '17 at 14:17 Willi Mentzel 18.6k1212 gold badges7979 silver badges9393 bronze badges ...
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What is the difference between location list and quickfix list in vim

... romainlromainl 147k1515 gold badges227227 silver badges249249 bronze badges ...
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How to link godaddy domain with AWS Elastic Beanstalk environment?

..., but I think you don't need a dot at the end of nameserver name (i.e. ns-1783.awsdns-30.co.uk) – Vsevolod Krasnov Sep 29 '16 at 7:11 2 ...
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Scala: Nil vs List()

... println (Nil equals List()) true scala> System.identityHashCode(Nil) 374527572 scala> System.identityHashCode(List()) 374527572 Nil is more idiomatic and can be preferred in most cases. Questions? share |...
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How to access pandas groupby dataframe by key

...p('foo') Out[21]: A B C 0 foo 1.624345 5 2 foo -0.528172 11 4 foo 0.865408 14 Note: This doesn't require creating an intermediary dictionary / copy of every subdataframe for every group, so will be much more memory-efficient that creating the naive dictionary with dict(ite...
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Selecting pandas column by location

... >>> df A B C D 0 0.424634 1.716633 0.282734 2.086944 1 -1.325816 2.056277 2.583704 -0.776403 2 1.457809 -0.407279 -1.560583 -1.316246 3 -0.757134 -1.321025 1.325853 -2.513373 4 1.366180 -1.265185 -2.184617 0.881514 >>> df.iloc[:, 2] 0 ...