Julia vs SymPy
A side-by-side look at Julia and SymPy. For an in-depth review of either product, follow the links below.
Julia
Development
Julia is a high-level, high-performance, dynamic programming language designed for scientific computing and data science. It combines the programming productivity of Python and R with the speed and performance of C and Fortran.
scientific-computingdata-sciencehigh-performancedynamic-typing
SymPy
Development
SymPy is an open-source Python library for symbolic mathematics. It provides computer algebra capabilities to manipulate mathematical expressions, calculate limits, solve equations, perform symbolic integration and differentiation, and more.
mathematicssymbolic-mathcomputer-algebra