SymPy and mpmath are open-source Python libraries used for symbolic mathematics and high-precision numerical computations. SymPy provides a powerful platform for algebraic manipulation, calculus, equation solving, and more, while mpmath offers arbitrary-precision arithmetic capabilities. Together, they enable developers and researchers to perform both exact symbolic and high-precision numerical analysis in Python environments.

Features of SymPy and mpmath:

• Symbolic computation for algebra, calculus, discrete math, and more.
• Supports equation solving, symbolic integration and differentiation.
• Matrix algebra, discrete transformations, and series expansions.
• Arbitrary-precision arithmetic via mpmath integration.
• No external dependencies; works in pure Python.
• LaTeX and pretty-printing support for mathematical expressions.
• Integration with Jupyter Notebook and IPython environments.
• Extensive documentation and actively maintained by the community.

Check the version of SymPy and mpmath:
$ pip show sympy
$ pip show mpmath

Disclaimer: SymPy and mpmath are open-source software projects provided under the MIT License. They are offered "as is," without any warranty, express or implied. Users are responsible for ensuring the ethical and legal use of these libraries in their projects.