```python
from sympy import symbols, diff
# initialize x and y to be symbols to use in a function
x, y = symbols('x y', real=True)
f = (x**2)/y
# Find the partial derivatives of x and y
fx = diff(f, x, evaluate=True)
fy = diff(f, y, evaluate=True)
print(fx)
print(fy)
# print(f.evalf(subs={x: 2, y: 1}))
print(fx.evalf(subs={x: 2, y: 1}))
print(fy.evalf(subs={x: 2, y: 1}))
```


```python

def f(x, y):
    return x**2/y


eps = 1e-6
x = 2
y = 1
print((f(x + eps, y) - f(x, y)) / eps)
print((f(x, y + eps) - f(x, y)) / eps)
```


```python

```

236a82a80f89b19593c4917e2e72150a89f5f04c
ipynb
Jupyter Notebook
Notebooks/Calculus/.ipynb_checkpoints/Untitled-checkpoint.ipynb
alannanoguchi/QL-1.1
33e5074f56a8007e103ccee7065ed61dd3f337dd
MIT
Notebooks/Calculus/.ipynb_checkpoints/Untitled-checkpoint.ipynb
alannanoguchi/QL-1.1
33e5074f56a8007e103ccee7065ed61dd3f337dd
MIT
Notebooks/Calculus/.ipynb_checkpoints/Untitled-checkpoint.ipynb
alannanoguchi/QL-1.1
33e5074f56a8007e103ccee7065ed61dd3f337dd
MIT
Qwen/Qwen-72B
1. YES
2. YES