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行列演算とPythonの言語デザイン
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行列演算とPythonの言語デザイン
1.
2.
3.
4.
"Python has arguably
become the de facto standard for exploratory, interactive, and computation-driven scientific research”
5.
6.
7.
8.
9.
10.
•L[i, j, k] •L[1:2,
..., 2:3] L[i][j][k] L[i,j,k]
11.
A = A*2 A
*= 2
12.
A = B*C*D*E X1
= B*C X2 = X1*D A = X2*E A = B*C A *= D A *= E
13.
X = (A
< B) X = (A.__cmp__(B) == -1) X = A.__lt__(B)
14.
>>> x =
np.random.rand(5) >>> x array([0.90081264, 0.22836483, 0.34013548, 0.83180827, 0.22866072]) >>> y = (x >= 0.5) >>> y array([ True, False, False, True, False]) >>> x[x >= 0.5] array([0.90081264, 0.83180827])
15.
>>> A =[1,
2, 3] >>> A[1] 2 >>> A[np.int64(1)] 2
16.
17.
A @ B np.matmul(A,
B)
18.
19.
20.
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