Implementing symbolic computations

Symbolic computation is a mathematical approach to solving problems using symbols or mathematical variables. It uses mathematical equations or expressions formulated using symbolic variables to solve linear and nonlinear systems, rational expressions, logarithmic expressions, and other complex real-world models. To perform symbolic computation in Python, you must install the sympy module using the pip command:

pip install sympy

Let us now start creating our first symbolic expressions.

Creating symbolic expressions

One way of implementing the FastAPI endpoint that performs symbolic computation is to create a service that accepts a mathematical model or equation as a string and converts that string into a sympy symbolic expression. The following substitute_eqn() processes an equation in str format and converts it into valid linear or nonlinear bivariate equations with the x and y variables. It also accepts values for x and y to derive the...