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How to get a Docker container's IP address from the host

...m/questions/17157721/… – Dunk Feb 10 '16 at 15:46 7 ...
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Asynchronous method call in Python?

...implement a decorator to make your functions asynchronous, though that's a bit tricky. The multiprocessing module is full of little quirks and seemingly arbitrary restrictions – all the more reason to encapsulate it behind a friendly interface, though. from inspect import getmodule from multiproc...
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Zoom in on a point (using scale and translate)

... Maps style zoom using CSS3 Transforms). I've got the zoom to mouse cursor bit working fine, still trying to figure out how to allow the user to drag the canvas around like you can do in Google Maps. When I get it working I'll post code here, but check out above link for the mouse-zoom-to-point part...
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Javascript / Chrome - How to copy an object from the webkit inspector as code

... return undefined in chrome Version 49.0.2623.87 (64-bit) ? why >? – Pardeep Jain Aug 19 '16 at 6:33 11 ...
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Read file line by line using ifstream in C++

... Your solution is a bit improved: your line variable is not visible after file read-in in contrast to Kerrek SB's second solution which is good and simple solution too. – DanielTuzes Jul 23 '13 at 14:24 ...
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Remove unwanted parts from strings in a column

...ith. pd.__version__ # '0.24.1' df time result 1 09:00 +52A 2 10:00 +62B 3 11:00 +44a 4 12:00 +30b 5 13:00 -110a df['result'] = df['result'].str.replace(r'\D', '') df time result 1 09:00 52 2 10:00 62 3 11:00 44 4 12:00 30 5 13:00 110 If you ...
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Is it more efficient to copy a vector by reserving and copying, or by creating and swapping? [duplic

... gsamaras 64.5k3131 gold badges140140 silver badges240240 bronze badges answered Mar 13 '09 at 21:25 Daniel Ear...
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Why compile Python code?

... 10 Answers 10 Active ...
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Min/Max-value validators in asp.net mvc

... Mmm.. Not quite comfortable with this. Looks a bit hacky to me. – stiank81 Aug 31 '11 at 12:41 21 ...
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Renaming columns in pandas

...the .columns attribute: >>> df = pd.DataFrame({'$a':[1,2], '$b': [10,20]}) >>> df.columns = ['a', 'b'] >>> df a b 0 1 10 1 2 20 share | improve this answer ...