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Removing projects in Sublime Text 2 and 3

How do you remove a project from Sublime Text 2 and 3's project windows ( Ctrl + Alt + P ) ? 5 Answers ...
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Output data from all columns in a dataframe in pandas [duplicate]

... Erel Segal-Halevi 23.9k2424 gold badges8686 silver badges141141 bronze badges answered Nov 5 '12 at 18:13 YarivYariv ...
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[since C++11] std::array的使用 - C/C++ - 清泛网 - 专注C/C++及内核技术

...类、没有虚函数. 因此不支持这样的构造方法:array<int, 3> a({1, 2, 4}); 初始化array最常用的方法是使用赋值运算符和初始化列表: array<int, 3> a = {1, 2, 3}; array<int, 100> b = {1, 2, 3}; // a[0] ~ a[2] = 1, 2, 3; a[3] ~ a[99] = 0, 0, 0 ... 0; array<in...
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Single Line Nested For Loops

...f the list comprehension (here (x,y)): &gt;&gt;&gt; [(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). &gt;&gt;&gt;...
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Reorder levels of a factor without changing order of values

...f &lt;- data.frame(f = 1:4, g = letters[1:4]) df # f g # 1 1 a # 2 2 b # 3 3 c # 4 4 d levels(df$g) # [1] "a" "b" "c" "d" df$g &lt;- factor(df$g, levels = letters[4:1]) # levels(df$g) # [1] "d" "c" "b" "a" df # f g # 1 1 a # 2 2 b # 3 3 c # 4 4 d ...
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What is the most efficient way to create a dictionary of two pandas Dataframe columns?

...ies(df.Letter.values,index=df.Position).to_dict() Out[9]: {1: 'a', 2: 'b', 3: 'c', 4: 'd', 5: 'e'} Speed comparion (using Wouter's method) In [6]: df = pd.DataFrame(randint(0,10,10000).reshape(5000,2),columns=list('AB')) In [7]: %timeit dict(zip(df.A,df.B)) 1000 loops, best of 3: 1.27 ms per loo...
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Rspec: “array.should == another_array” but without concern for order

... answered Jun 5 '10 at 3:08 x1a4x1a4 18.6k44 gold badges3737 silver badges3838 bronze badges ...
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Why does SIGPIPE exist?

...| edited Oct 26 '16 at 9:13 Ton van den Heuvel 8,39155 gold badges3434 silver badges7575 bronze badges a...
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Split delimited strings in a column and insert as new rows [duplicate]

...her way of doing it.. df &lt;- read.table(textConnection("1|a,b,c\n2|a,c\n3|b,d\n4|e,f"), header = F, sep = "|", stringsAsFactors = F) df ## V1 V2 ## 1 1 a,b,c ## 2 2 a,c ## 3 3 b,d ## 4 4 e,f s &lt;- strsplit(df$V2, split = ",") data.frame(V1 = rep(df$V1, sapply(s, length)), V2 = ...
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std::next_permutation Implementation Explanation

... Let's look at some permutations: 1 2 3 4 1 2 4 3 1 3 2 4 1 3 4 2 1 4 2 3 1 4 3 2 2 1 3 4 ... How do we go from one permutation to the next? Firstly, let's look at things a little differently. We can view the elements as digits and the permutations as numbers. ...