The SymPy program extends julia by providing a type for symbolic expressions. This is also loaded with the MTH229 package. The SymPy package for julia is an add on, it is loaded into a session with the command using SymPy # also loaed with the MTH229 package We see in this project how this additional functionality affords an alternative approach to performing calculus problems. This is leveraged in the SymPy package for julia to provide a symbolic math interface through a connection to Python and its SymPy library via julia's P圜all package. One strength of julia is how well it plays with others. The julia language is an alternative approach to MATLAB or R for numerical computation. A general purpose approach would be to leverage a widely used programming language, such as Python or Haskell, for a specific use. The numeric approach is the domain of tailored programming languages such as MATLAB and R. These tutorials, created using Matlabs publishing tools, cover the following topics in depth: getting started, the matrix, functions, flow of control. The symbolic approach is the domain of Computer Algebra Systems (CAS), and is exemplified by very comprehensive programs like Mathematica, Maple, and the open-source alternative Sage. For mathematical areas there are three different philosophies for computing: symbolic, numeric, and general purpose. para aquellos que instalaron matlab sin ninguno de sus complementos y nesecitan usar la fun. The julia language bills itself as "fresh approach to technical computing." By saying "fresh" the implication is that there exists many older approaches to technical computing. posible solucion a error: 'syms' requires Symbolic Math Toolbox.
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