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D2_of_3Day_DoneWithPython.md

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* 使用np.linspace()使t ∈ [0,2π]。 然后给 (Use np.linspace0 to make t ∈ [0,2π]. Then give)
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 ![2](https://github.com/MurphyWan/Python-first-Practice/blob/master/images/3days_img017_2.jpg)
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![2](https://github.com/MurphyWan/Python-first-Practice/blob/master/images/3days_img017_2.jpg)
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 - 针对X绘Y。 在这个情节中添加一个称为“Heart”的标题。 (Plot y against x. Add a title to this plot which is called "Heart" .)
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- 针对X绘Y。 在这个情节中添加一个称为“Heart”的标题。 (Plot y against x. Add a title to this plot which is called "Heart" .)
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* 针对x∈[-10,10], y∈[-10,10], 绘制3D函数 (Plot the 3D function for x∈[-10,10], y∈[-10,10])
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## Sympy
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```python
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```
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## 符号计算 (Symbolic computation)
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* 到目前为止,我们只考虑了数值计算。 (So far, we only considered the numerical computation.)
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* Python也可以通过模块表征进行符号计算。(Python can also work with symbolic computation via  module sympy.)
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* 符号计算可用于计算方程,积分等的显式解。 (Symbolic computation can be useful for calculating explicit solutions to equations, integrations and so on.)
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```
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## 声明一个符号变量 (Declare a symbol variable)
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```python
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import sympy as sy
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#声明x,y为变量
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x = sy.Symbol('x')
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y = sy.Symbol('y')
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a, b = sy.symbols('a b')
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#创建一个新符号(不是函数
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f = x**2 + 2 - 2*x + x**2 -1
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print(f)
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#自动简化
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g = x**2 + 2 - 2*x + x**2 -1
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print(g)
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```
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```
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## Use of symbol 1: Solve equations
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```python
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import sympy as sy
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= sy.Symbol ('x')
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= sy.Symbol('y')
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# give [-1, 1]
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print(sy.solve (x**2 - 1))
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# no guarantee for solution
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print(sy.solve(x**3  +  0.5*x**2 - 1))
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# exepress x in terms of y
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print (sy.solve(x**3  +  y**2))
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# error:  no  algorithm  can  be  found
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print(sy.solve(x**x + 2*x - 1))
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```
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## Use of symbol 2: Integration  
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```python
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import sympy as sy
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x = sy.Symbol('x')
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y = sy.Symbol( 'y')
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b = sy.symbols ( 'a b')
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#single  variable
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f = sy.sin(x) + sy.exp(x)
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print(sy.integrate(f, (x,  a,  b)))
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print(sy.integrate(f, (x,  12)))
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print(sy.integrate(f, (x,  1.0,2.0)))
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#  multi variables
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g = sy.exp(x) + x * sy.sin(y)
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print(sy.integrate(g, (y,a,b)))
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```
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```python
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```
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## Use of symbol 2: Differentiation
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```python
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import sympy as sy
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x =  sy.Symbol( 'x')
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y =  sy.Symbol( 'y')
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#sing1e variable
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f = sy.cos(x) + x**x
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print(sy . diff (f ,  x))
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#  multi variables
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g = sy.cos(y) * x + sy.log(y)
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print(sy.diff (g,  y))
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```
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```python
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第二天结束,辛苦了
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```

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