symbolic computation with python and sympy

Symbolic computation involves manipulating mathematical expressions symbolically, rather than numerically. SymPy is a powerful Python library for symbolic mathematics that allows you to perform algebraic operations, solve equations, and work with mathematical expressions in a symbolic form. In this tutorial, we will explore the basics of symbolic computation using SymPy with code examples.
Before we start, make sure you have SymPy installed. You can install it using pip:
Let's start by importing SymPy and defining some symbolic variables.
You can create symbolic expressions using these variables and standard mathematical operations.
SymPy can be used to solve algebraic equations symbolically.
You can simplify expressions to their most compact form.
SymPy can also perform symbolic differentiation and integration.
You can substitute specific values into symbolic expressions.
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