Lambdify SymPy Function: Transform Symbolic Expressions into Python Functions - Scientific Computing

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In this Python scientific computing tutorial, we will learn how to transform symbolic scalar and matrix expressions into Python (lambda) functions which can be used to quickly calculate numerical values of expressions. This is a very powerful technique for automatically generating Python functions from symbolic expressions. For example, we can use Python's symbolic computation library called SymPy to automatically perform symbolic computations, such as integration, differentiation, addition, and inversion. Furthermore, we can also use this library to symbolically invert matrices and compute matrix expressions. After we compute the symbolic expressions, we can automatically generate Python functions from these expressions, and use the generated functions in algorithms and Python classes. We can automatically generate Python functions from symbolic expressions by using SymPy's "lambdify()" function.