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Transpose list of lists

... How about map(list, zip(*l)) --> [[1, 4, 7], [2, 5, 8], [3, 6, 9]] For python 3.x users can use list(map(list, zip(*l))) Explanation: There are two things we need to know to understand what's going on: The signature of zip: zip(*iterables) This means zip expects ...
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What is the syntax to insert one list into another list in python?

... Do you mean append? >>> x = [1,2,3] >>> y = [4,5,6] >>> x.append(y) >>> x [1, 2, 3, [4, 5, 6]] Or merge? >>> x = [1,2,3] >>> y = [4,5,6] >>> x + y [1, 2, 3, 4, 5, 6] >>> x.extend(y) >>...
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Is there an equivalent for the Zip function in Clojure Core or Contrib?

... 220 (map vector '(1 2 3) '(4 5 6)) does what you want: => ([1 4] [2 5] [3 6]) Haskell need...
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Why does [5,6,8,7][1,2] = 8 in JavaScript?

... [1,2,3,4,5,6][1,2,3]; ^ ^ | | array + — array subscript access operation, where index is `1,2,3`, which is an expression that evaluates to `3`. Th...
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Eclipse RCP Plug-in开发自学教程(Eclipse3.6) - 文档下载 - 清泛网 - ...

...受益,也希望大家能有本意识,转载时注明来自salever@126.com。 之前有一套基于Eclipse3.3本的教程,也是本人整理,由于本人的疏忽,导致网络上的本各不相同,但分享已久,无法改变,希望大家谅解并使用新本的教程...
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Using numpy to build an array of all combinations of two arrays

... faster implementation: @pv's solution In [113]: %timeit cartesian(([1, 2, 3], [4, 5], [6, 7])) 10000 loops, best of 3: 135 µs per loop In [114]: cartesian(([1, 2, 3], [4, 5], [6, 7])) Out[114]: array([[1, 4, 6], [1, 4, 7], [1, 5, 6], [1, 5, 7], [2, 4, 6], [2...
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Split a vector into chunks in R

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Removing duplicates from a list of lists

... >>> k = [[1, 2], [4], [5, 6, 2], [1, 2], [3], [4]] >>> import itertools >>> k.sort() >>> list(k for k,_ in itertools.groupby(k)) [[1, 2], [3], [4], [5, 6, 2]] itertools often offers the fastest and most powerf...
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Bootstrap combining rows (rowspan)

...ws" within a column. div { height:50px; } .short-div { height:25px; } <link href="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.6/css/bootstrap.min.css" rel="stylesheet" /> <div class="container"> <h1>Responsive Bootstrap</h1> <div class="row"> ...
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Assign multiple columns using := in data.table, by group

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