Implementing symbolic computation with visualization

Symbolic computation is an algorithmic approach to model-based analysis and solving solutions for variables or symbols in a formula, mathematical expression, program code, or numerical model representable in a computer. It mainly involves representing numbers in a closed form or exact representation. Many scientific applications have GUI forms that allow users to input these mathematical or statistical models with the experimental values of their variables. Others provide plotting of these equations or formulas using the matplotlib and numpy modules.

For Flask to recognize symbolic expressions and formulas in a string expression, install the sympy module using the pip command:

pip install sympy

Then, install the mpmath module, a prerequisite of the sympy module:

pip install mpmath

After these installations, we can start problem solving.

Solving linear equations

Let us begin with the following asynchronous route...