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simple numpy

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`@@ -5,6 +5,8 @@`
`5`	`5`	`- [pythonexcel](https://github.com/JustDoPython/python-examples/tree/master/taiyangxue/pythonxlsx) :Excel 神器 OpenPyXl`
`6`	`6`	`- [recursion](https://github.com/JustDoPython/python-examples/tree/master/taiyangxue/recursion) :不会编程的程序员不用懂递归`
`7`	`7`	`- [busclock](https://github.com/JustDoPython/python-examples/tree/master/taiyangxue/busclock) : 公交闹钟 ———— 再也不用白等车了`
	`8`	`+- [diffusionsimulator](https://github.com/JustDoPython/python-examples/tree/master/taiyangxue/diffusionsimulator) : python 告诉你疫情多可怕`
	`9`	`+- [simplenumpy](https://github.com/JustDoPython/python-examples/tree/master/taiyangxue/simplenumpy) : 干掉公式 —— numpy 就要这样学`
`8`	`10`
`9`	`11`	`---`
`10`	`12`

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	`1`	`+import numpy as np`
	`2`	`+`
	`3`	`+m = np.array([(1,2,3),(2,3,4),(3,4,5)])`
	`4`	`+`
	`5`	`+print(m**2)`
	`6`	`+`
	`7`	`+n = np.array([(1,2),(2,3),(3,4)])`
	`8`	`+`
	`9`	`+print(m.dot(n))`
	`10`	`+`
	`11`	`+`
	`12`	`+# 求和`
	`13`	`+print(m.sum())`
	`14`	`+# 连乘`
	`15`	`+print(m.prod())`
	`16`	`+`
	`17`	`+# 均值`
	`18`	`+`
	`19`	`+x = np.array([1,2,3,4,5,6,7,8])`
	`20`	`+`
	`21`	`+print((1/x.size)*x.sum())`
	`22`	`+print(x.sum()/x.size)`
	`23`	`+`
	`24`	`+# 实现 Frobenius 范数`
	`25`	`+print(np.sqrt((m**2).sum()))`
	`26`	`+`
	`27`	`+# 样本方差`
	`28`	`+print(np.sqrt(((x-(x.sum()/x.size))**2).sum()/(x.size-1)))`
	`29`	`+print(np.sqrt(((x-np.mean(x))**2).sum()/(x.size-1)))`
	`30`	`+# 标准差`
	`31`	`+print(np.sqrt(((x-np.mean(x))**2).sum()/x.size))`
	`32`	`+print(np.std(x))`
	`33`	`+`
	`34`	`+# 欧拉距离`
	`35`	`+a = np.array([1,2,3,4,5,6])`
	`36`	`+b = np.array([2,3,4,5,6,7])`
	`37`	`+print(np.sqrt(((a-b)**2).sum()))`
	`38`	`+print(np.linalg.norm(a-b))`

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