You can run your command without any additional syntax. For example, the following checks the exit code of grep to determine whether the regular expression matches or not: if ! grep -q “$word” /usr/share/dict/words then echo “Word $word is not valid word!” fi
Taking advantage of short-circuiting in boolean expressions: int max(int a, int b, int c) { int m = a; (m < b) && (m = b); //these are not conditional statements. (m < c) && (m = c); //these are just boolean expressions. return m; } Explanation: In boolean AND operation such as x && … Read more
You can define a function which returns your different states “Full”, “Partial”, “Empty”, etc and then use df.apply to apply the function to each row. Note that you have to pass the keyword argument axis=1 to ensure that it applies the function to rows. import pandas as pd def alert(row): if row[‘used’] == 1.0: return … Read more
if ( printf(“Hello”) == 0 ) printf (“Hello”); else printf (“World”); 🙂
You are checking for the wrong condition. if [ “$choice” != ‘y’ ] && [ “$choice1″ != ‘y’ ]; The above statement is true when choice!=’y’ and choice1!=’y’, and so the program correctly prints “Test Done!”. The corrected script is echo “- Do You want to make a choice ?” read choice echo “- Do … Read more
Example of selecting from a DataFrame with the use of index: from numpy.random import randn from pandas import DataFrame from datetime import timedelta as td import dateutil.parser d = dateutil.parser.parse(“2014-01-01”) df = DataFrame(randn(6,2), columns=list(‘AB’), index=[d + td(days=x) for x in range(1,7)]) In [1]: df Out[1]: A B 2014-01-02 -1.172285 1.706200 2014-01-03 0.039511 -0.320798 2014-01-04 -0.192179 … Read more