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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...
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...
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...
__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:
//...
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...
