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Are list-comprehensions and functional functions faster than “for loops”?

...in range(10)]`>) 1 0 BUILD_LIST 0 3 LOAD_FAST 0 (.0) >> 6 FOR_ITER 12 (to 21) 9 STORE_FAST 1 (x) 12 LOAD_FAST 1 (x) 15 LIST_APPEND 2 ...
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Determine device (iPhone, iPod Touch) with iOS

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Apache Spark: map vs mapPartitions?

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dplyr summarise: Equivalent of “.drop=FALSE” to keep groups with zero length in output

....drop argument that does just what you asked for: df = data.frame(a=rep(1:3,4), b=rep(1:2,6)) df$b = factor(df$b, levels=1:3) df %>% group_by(b, .drop=FALSE) %>% summarise(count_a=length(a)) #> # A tibble: 3 x 2 #> b count_a #> <fct> <int> #> 1 1 ...
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When should iteritems() be used instead of items()?

... of iteritems() in all places? Why was iteritems() removed from Python 3? Seems like a terrific and useful method. What's the reasoning behind it? ...
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How to add a new row to an empty numpy array

... 237 The way to "start" the array that you want is: arr = np.empty((0,3), int) Which is an empty ...
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How to find list intersection?

actual output: [1,3,5,6] expected output: [1,3,5] 11 Answers 11 ...
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How to convert a data frame column to numeric type?

...ac num 1 a 1 1 a 1 2 b 2 2 b 2 3 c 3 3 c 3 4 d 4 4 d 4 5 e 5 5 e 5 and let us run: > sapply(d, mode) char fake_char fac char_fac num "character" "character...
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Python 3: ImportError “No Module named Setuptools”

I'm having troubles with installing packages in Python 3. 9 Answers 9 ...
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Change the color of glyphicons to blue in some- but not at all places using Bootstrap 2

... answered Aug 20 '13 at 12:32 Vikas GhodkeVikas Ghodke 6,29855 gold badges2323 silver badges3737 bronze badges ...