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difference between #if defined(WIN32) and #ifdef(WIN32)

I am compiling my program that will running on linux gcc 4.4.1 C99. 3 Answers 3 ...
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Is there a quick way to delete a file from a Jar / war without having to extract the jar and recreat

... 204 zip -d file.jar unwanted_file.txt jar is just a zip file after all. Definitely much faster tha...
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Fastest way to convert an iterator to a list

...| edited Sep 25 '10 at 18:41 answered Sep 24 '10 at 20:48 m...
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Disable building workspace process in Eclipse

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Showing data values on stacked bar chart in ggplot2

... Henrik 52.1k1111 gold badges117117 silver badges134134 bronze badges answered Jul 11 '11 at 3:34 RamnathRamnath 49.3k1212 gold b...
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Python OpenCV2 (cv2) wrapper to get image size?

...ls. – Tomasz Gandor Jan 9 '15 at 23:46 1 I found this helpful: docs.opencv.org/3.0-beta/doc/py_tu...
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Is there a JavaScript strcmp()?

... leaf 13.5k66 gold badges4848 silver badges7777 bronze badges answered Jul 24 '09 at 18:38 newacctnewacct ...
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Remove rows with all or some NAs (missing values) in data.frame

...cases(final), ] gene hsap mmul mmus rnor cfam 2 ENSG00000199674 0 2 2 2 2 6 ENSG00000221312 0 1 2 3 2 na.omit is nicer for just removing all NA's. complete.cases allows partial selection by including only certain columns of the dataframe: > final[comp...
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how do you filter pandas dataframes by multiple columns

...b-statements with (): males = df[(df[Gender]=='Male') & (df[Year]==2014)] To store your dataframes in a dict using a for loop: from collections import defaultdict dic={} for g in ['male', 'female']: dic[g]=defaultdict(dict) for y in [2013, 2014]: dic[g][y]=df[(df[Gender]==g) & (d...
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catch exception that is thrown in different thread

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