摘要：
import numpy as np #基础索引 x1 = np.arange(10) x2 = np.arange(20).reshape(4,5) print(x1) print(' ') print(x1[0],x1[9],x1[-1]) print(' ') print(x1[2:4]) p 阅读全文
摘要：
import numpy as np x1 = np.array([1,2,3,4,5,6,7,8]) x2 = np.array( [ [1,2,3,4], [5,6,7,8] ]) #返回元组，表维度 print(x1.shape) print(x2.shape) #返回数字，表维度 print 阅读全文
摘要：
import numpy as np from timeit import timeit def python_sum(n): a=[i**2 for i in range(n)] b=[i**3 for i in range(n)] c=[] for i in range(n): c.append 阅读全文