Compare these similar ways to create symbolic variables: julia> a b c There is the macro that makes creating multiple variables a bit less typing, as it creates variables in the local scope – no assignment is necessary. This creates a symbolic object x, which can be manipulated through further function calls. Symbolic expressions are primarily of the Sym type and can be constructed in the standard way: julia> x = Sym("x") To keep things manageable, SymPy does some simplifications along the way. Symbolic variables do not immediately evaluate to a value, rather the "symbolicness" propagates when interacted with. SymbolsĪt the core of SymPy is the introduction of symbolic variables that differ quite a bit from Julia's variables. The start up time is a bit lengthy (~4s). The overall structure and many examples are taken from that work, with adjustments and additions to illustrate the differences due to using SymPy within Julia.Īfter installing SymPy, which is discussed in the package's README file, we must first load it into Julia with the standard command using: julia> using SymPy It owes an enormous debt to the tutorial for using SymPy within Python which may be found here. This document provides an introduction to using SymPy within Julia.
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