```python
import sympy as sm
```


```python
x = sm.symbols('x')
```


```python
y1 = sm.Pow(sm.E, x)
```


```python
y1.diff(x)
```




$\displaystyle e^{x}$




```python
y1.integrate(x)
```




$\displaystyle e^{x}$




```python
%matplotlib inline 
fig = sm.plotting.plot(y1, x)
```


```python

```

2779966df0b40662f28d4b9803e890ef32358ca0
ipynb
Jupyter Notebook
ch02_HomeWork_1.ipynb
loucadgarbon/pattern-recognition
2fd45db9597c01f8b76aba1cad9575c2b3a764ec
MIT
ch02_HomeWork_1.ipynb
loucadgarbon/pattern-recognition
2fd45db9597c01f8b76aba1cad9575c2b3a764ec
MIT
ch02_HomeWork_1.ipynb
loucadgarbon/pattern-recognition
2fd45db9597c01f8b76aba1cad9575c2b3a764ec
MIT
Qwen/Qwen-72B
1. YES
2. YES