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What are “named tuples” in Python?

Reading the changes in Python 3.1 , I found something... unexpected: 11 Answers 11 ...
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Difference between jar and war in Java

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How do I detect if Python is running as a 64-bit application? [duplicate]

...k with the windows registry. Depending on whether you're running python as 32-bit or 64-bit, the key value will be different. How do I detect if Python is running as a 64-bit application as opposed to a 32-bit application? ...
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What is the fastest or most elegant way to compute a set difference using Javascript arrays?

...don't know if this is most effective, but perhaps the shortest A = [1, 2, 3, 4]; B = [1, 3, 4, 7]; diff = A.filter(function(x) { return B.indexOf(x) < 0 }) console.log(diff); Updated to ES6: A = [1, 2, 3, 4]; B = [1, 3, 4, 7]; diff = A.filter(x => !B.includes(x) ); console.log(diff); ...
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CentOS+Nginx+PHP+MySQL详细配置(图解) - PHP - 清泛IT论坛,有思想、有深度

本帖最后由 zqp2013 于 2015-4-26 14:29 编辑 一、安装MySQL         目前web服务器已经很少有跑静态页面的,如果要跑动态网站那当然就离不开数据库,虽然在以前文章中有写MySQL是怎么安装的,但是感觉好久没...
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Reflection generic get field value

...et")) && (method.getName().length() == (field.getName().length() + 3))) { if (method.getName().toLowerCase().endsWith(field.getName().toLowerCase())) { // MZ: Method found, run it try { return...
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python: how to identify if a variable is an array or a scalar

...o make a call to this function with a scalar 50 or an array [0, 10, 20, 30] . How can I identify within the function, what the length of NBins is? or said differently, if it is a scalar or a vector? ...
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Restoring state of TextView after screen rotation?

... | edited Jun 2 '11 at 6:30 answered May 23 '11 at 12:28 i...
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__attribute__ - C/C++ - 清泛网 - 专注C/C++及内核技术

...nt(const char *format,...) __attribute__((format(printf,1,2))); //m=2;n=3 extern void myprint(int l,const char *format,...) __attribute__((format(printf,2,3))); 需要特别注意的是,如果myprint是一个函数的成员函数,那么m和n的值可有点“悬乎”了,例如: //...
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Generate a heatmap in MatPlotLib using a scatter data set

...matplotlib.pyplot as plt # Generate some test data x = np.random.randn(8873) y = np.random.randn(8873) heatmap, xedges, yedges = np.histogram2d(x, y, bins=50) extent = [xedges[0], xedges[-1], yedges[0], yedges[-1]] plt.clf() plt.imshow(heatmap.T, extent=extent, origin='lower') plt.show() This m...