sympy is a very easy to use python-based symbolic calculation library, which uses technology to perform a series of advanced mathematical operations such as differentiation, integration, and limits.

SymPy is a Python library for symbolic mathematics. It aims to become a full-featured computer algebra system (CAS) while keeping the code as simple as possible in order to be comprehensible and easily extensible. SymPy is written entirely in Python. https://www.sympy.org/en/index.html

For example, verify that the entropy of the isentropic process becomes zero. This article installs the anaconda family bucket in the python environment and runs it in the jupyter notebook. 1. import the calculation library sympy:

import sympy

In order to make the formula look better and make it typeset like?????LATEX, we set the following:

from sympy import init_printing init_printing(use_latex=True)

Well, define some variables, such as entropy change, pressure, etc.:

Cp,Rg,T1,T2,P1,P2,kappa = sympy.symbols('Cp Rg T1 T2 P1 P2 kappa') dS = Cp*sympy.ln(T2/T1)-Rg*sympy.ln(P2/P1) dS

Run the program, the result is as shown below, you can see the formula typesetting lever:

#According to the isentropic process, P2/P1 is: ratio=sympy.Pow(T2/T1,kappa/(kappa-1)) ratio

The relationship between #Cp and kappa is: kappa*Rg/(kappa-1)

After sorting it out a bit, the entropy becomes 0

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Reference: https://cloud.tencent.com/developer/article/1486882 [Python from entry to abandonment] There is no paper at hand to push the formula sympy-云+社区-Tencent Cloud