Metadata-Version: 2.1
Name: pyCalcErr
Version: 0.4.1
Summary: Gauss error propagation with latex formula
Home-page: https://github.com/chcltchunk/pyCalcErr
Author: Jonas Oldenstaedt
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3
Description-Content-Type: text/markdown
Requires-Dist: pytexit
Requires-Dist: sympy

# pyCalcErr
calculate Gauss propagation of uncertainty and output corresponding latex equation

propagation of uncertainty (used in this package):
- <img src="https://latex.codecogs.com/gif.latex?s_f%20=%20\sqrt{%20\left(\frac{\partial%20f}{\partial%20x}\right)^2%20s_x^2%20+%20\left(\frac{\partial%20f}{\partial%20y}%20\right)^2%20s_y^2%20+%20\left(\frac{\partial%20f}{\partial%20z}%20\right)^2%20s_z^2%20+%20\cdots}" /> 

install using pip:

```
pip install pyCalcErr
```
Usage:
```
pyCalcErr <equation left side>", "<equation_right_side> <deriveAfter_1,...>"
```

Example: 
```
pyCalcErr E_pot 1/2*k*x**2 'x'
```




