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how does multiplication differ for NumPy Matrix vs Array classes?
...find it more trouble than it's worth, though.
For arrays (prior to Python 3.5), use dot instead of matrixmultiply.
E.g.
import numpy as np
x = np.arange(9).reshape((3,3))
y = np.arange(3)
print np.dot(x,y)
Or in newer versions of numpy, simply use x.dot(y)
Personally, I find it much more read...
Searching for UUIDs in text with regex
...IDs), there are five equivalent string representations for a GUID:
"ca761232ed4211cebacd00aa0057b223"
"CA761232-ED42-11CE-BACD-00AA0057B223"
"{CA761232-ED42-11CE-BACD-00AA0057B223}"
"(CA761232-ED42-11CE-BACD-00AA0057B223)"
"{0xCA761232, 0xED42, 0x11CE, {0xBA, 0xCD, 0x00, 0xAA, 0x00, 0x57, 0...
What is the ultimate postal code and zip regex?
...
132
There is none.
Postal/zip codes around the world don't follow a common pattern. In some countr...
xkcd style graphs in MATLAB
...t a transformation.
%# define plot data
x = 1:0.1:10;
y1 = sin(x).*exp(-x/3) + 3;
y2 = 3*exp(-(x-7).^2/2) + 1;
%# plot
fh = figure('color','w');
hold on
plot(x,y1,'b','lineWidth',3);
plot(x,y2,'w','lineWidth',7);
plot(x,y2,'r','lineWidth',3);
xlim([0.95 10])
ylim([0 5])
set(gca,'fontName','Comic ...
[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...
Difference between break and continue statement
...
537
break leaves a loop, continue jumps to the next iteration.
...
Determine the data types of a data frame's columns
...o use ?str(). To explore some examples, let's make some data:
set.seed(3221) # this makes the example exactly reproducible
my.data &lt;- data.frame(y=rnorm(5),
x1=c(1:5),
x2=c(TRUE, TRUE, FALSE, FALSE, FALSE),
X3=letters[1:5])
...
Are list-comprehensions and functional functions faster than “for loops”?
...in range(10)]`&gt;)
1 0 BUILD_LIST 0
3 LOAD_FAST 0 (.0)
&gt;&gt; 6 FOR_ITER 12 (to 21)
9 STORE_FAST 1 (x)
12 LOAD_FAST 1 (x)
15 LIST_APPEND 2
...
Find indices of elements equal to zero in a NumPy array
...
numpy.where() is my favorite.
&gt;&gt;&gt; x = numpy.array([1,0,2,0,3,0,4,5,6,7,8])
&gt;&gt;&gt; numpy.where(x == 0)[0]
array([1, 3, 5])
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