```
import sympy
from sympy import Symbol

from sympy.abc import x, g, b

xdd = (0.0034*g*sympy.exp(-x/22000)*sympy.diff(x)**2) / (2*b) - g
y=sympy.symbols('y',cls=sympy.Function)

xdd = sympy.diff(y(x), x, x) - (0.0034*g*sympy.exp(-x/22000)*sympy.diff(x)**2)  + g


sympy.pprint(xdd)

```

                   -x              
                  ─────     2      
                  22000    d       
    g - 0.0034⋅g⋅ℯ      + ───(y(x))
                            2      
                          dx       


6ff0f981a662efd9777d69aeab2585c86f273059
ipynb
Jupyter Notebook
experiments/zarchan_ball.ipynb
VladPodilnyk/Kalman-and-Bayesian-Filters-in-Python
1b47e2c27ea0a007e8c36d9f6d453c47402b3615
CC-BY-4.0
2015-01-07T12:06:26.000Z
2022-03-31T11:03:03.000Z
experiments/zarchan_ball.ipynb
VladPodilnyk/Kalman-and-Bayesian-Filters-in-Python
1b47e2c27ea0a007e8c36d9f6d453c47402b3615
CC-BY-4.0
2015-01-09T18:53:02.000Z
2022-03-14T20:21:06.000Z
experiments/zarchan_ball.ipynb
VladPodilnyk/Kalman-and-Bayesian-Filters-in-Python
1b47e2c27ea0a007e8c36d9f6d453c47402b3615
CC-BY-4.0
2015-01-02T20:47:47.000Z
2022-03-31T18:07:33.000Z
Qwen/Qwen-72B
1. YES
2. YES