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python tuple to dict

... Try: >>> t = ((1, 'a'),(2, 'b')) >>> dict((y, m>xm>) for m>xm>, y in t) {'a': 1, 'b': 2} share | improve this answer | follow | ...
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What are the aspect ratios for all Android phone and tablet devices?

... In case anyone wanted more of a visual reference: Decimal approm>xm>imations reference table: ╔══════════════════════════╦════════════════════════╦════════════...
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菜单的背景颜色 - C/C++ - 清泛网 - 专注C/C++及内核技术

...方法是进入文件选项卡(FileView),在Source File文件下的StdAfm>xm>.cpp文件里的最前面部分添加这个语句:#define WINVER 0m>xm>0501) 设计弹出式菜单 CMenu类里要了解的函数: TrackPopupMenu( UINT nFlags, int m>xm>, int y, CWnd* pWnd,LPCRECT lpRect = NULL ); 该函...
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How to delete files older than m>Xm> hours

...wered Oct 30 '08 at 8:39 Paul Dim>xm>onPaul Dim>xm>on 270k4545 gold badges298298 silver badges328328 bronze badges ...
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Understanding repr( ) function in Python

... >>> m>xm> = 'foo' >>> m>xm> 'foo' So the name m>xm> is attached to 'foo' string. When you call for em>xm>ample repr(m>xm>) the interpreter puts 'foo' instead of m>xm> and then calls repr('foo'). >>> repr(m>xm>) "'foo'" >>> m>xm>.__...
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Reset keys of array elements in php?

... to the simple array_values approach: The Array: $array['a'][0] = array('m>xm>' => 1, 'y' => 2, 'z' => 3); $array['a'][5] = array('m>xm>' => 4, 'y' => 5, 'z' => 6); $array['b'][1] = array('m>xm>' => 7, 'y' => 8, 'z' => 9); $array['b'][7] = array('m>xm>' => 10, 'y' => 11, 'z' =&gt...
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How to delete a character from a string using Python

There is a string, for em>xm>ample. Em>Xm>AMPLE . 16 Answers 16 ...
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SVG Positioning

... g group tag. I was hoping to use it like a container, so I could set its m>xm> position and then all the elements in that group would also move. But that doesn't seem to be possible. ...
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How to make em>xm>ecution pause, sleep, wait for m>Xm> seconds in R?

...ction, but ?sleep references a data set. And ?pause and ?wait don't em>xm>ist. 2 Answers ...
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How can I make pandas dataframe column headers all lowercase?

...e this: data.columns = map(str.lower, data.columns) or data.columns = [m>xm>.lower() for m>xm> in data.columns] em>xm>ample: >>> data = pd.DataFrame({'A':range(3), 'B':range(3,0,-1), 'C':list('abc')}) >>> data A B C 0 0 3 a 1 1 2 b 2 2 1 c >>> data.columns = map(s...