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Why does SIGPIPE exist?

... Ton van den Heuvel 8,39155 gold badges3434 silver badges7575 bronze badges answered Feb 18 '12 at 2:13 R.. GitHub STOP HELPING ICER.. GitHub...
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Single Line Nested For Loops

...hension (here (x,y)): >>> [(x, y) for x in [1,2,3] for y in [3,1,4] if x != y] [(1, 3), (1, 4), (2, 3), (2, 1), (2, 4), (3, 1), (3, 4)] It's exactly the same as this nested for loop (and, as the tutorial says, note how the order of for and if are the same). >>> combs = [] >&...
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What is the most efficient way to create a dictionary of two pandas Dataframe columns?

... 4 Answers 4 Active ...
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std::next_permutation Implementation Explanation

...td:next_permutation was implemented so I extracted the the gnu libstdc++ 4.7 version and sanitized the identifiers and formatting to produce the following demo... ...
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For each row return the column name of the largest value

...ample reproducible): DF <- data.frame(V1=c(2,8,1),V2=c(7,3,5),V3=c(9,6,4)) colnames(DF)[apply(DF,1,which.max)] [1] "V3" "V1" "V2" A faster solution than using apply might be max.col: colnames(DF)[max.col(DF,ties.method="first")] #[1] "V3" "V1" "V2" ...where ties.method can be any of "rando...
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How does numpy.histogram() work?

... | edited Feb 4 '12 at 15:31 answered Feb 4 '12 at 15:09 ...
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Select multiple columns in data.table by their numeric indices

... Henrik 52.1k1111 gold badges117117 silver badges134134 bronze badges answered Nov 14 '12 at 17:28 Josh O'BrienJosh O'Brien 144k2...
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Clojure: cons (seq) vs. conj (list)

...ts to insert into a collection, while cons takes just one: (conj '(1 2 3) 4 5 6) ; => (6 5 4 1 2 3) (cons 4 5 6 '(1 2 3)) ; => IllegalArgumentException due to wrong arity Another difference is in the class of the return value: (class (conj '(1 2 3) 4)) ; => clojure.lang.PersistentList ...
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How exactly does tail recursion work?

...lexey Frunze 56.8k99 gold badges6767 silver badges154154 bronze badges 2 ...
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How to select rows with one or more nulls from a pandas DataFrame without listing columns explicitly

I have a dataframe with ~300K rows and ~40 columns. I want to find out if any rows contain null values - and put these 'null'-rows into a separate dataframe so that I could explore them easily. ...