SymPy is a Python library for symbolic mathematics. It aims to become a full-featured computer algebra system (CAS) while keeping the code as simple as possible in order to be comprehensible and easily extensible. SymPy is written entirely in Python and does not require any external libraries.
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Citation Level
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English, etc
Website Key Features
Symbolic Computation
Perform algebraic manipulations with symbolic expressions.
Calculus
Supports limits, differentiation, integration, series expansion, and more.
Equation Solving
Solve algebraic equations, differential equations, and systems of equations.
Discrete Mathematics
Includes functions for combinatorics, number theory, and logic.
Matrices
Supports operations on matrices, including determinants, inverses, and eigenvalues.
Plotting
Capable of 2D and 3D plotting of mathematical functions.
Physics
Includes modules for classical mechanics, quantum mechanics, and optics.
Statistics
Provides tools for statistical analysis and probability.
Printing
Supports pretty-printing of mathematical expressions in various formats.
Code Generation
Can generate code in multiple languages from symbolic expressions.
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Additional information
License
SymPy is released under the New BSD license.
Community
SymPy has a vibrant community of contributors and users, with active mailing lists and a presence on various social media platforms.
Documentation
Comprehensive documentation is available, including tutorials, API reference, and development guides.
Development
SymPy is developed openly on GitHub, where contributions from the community are welcomed.
Integration
SymPy can be integrated with other Python libraries and tools, such as NumPy, SciPy, and Jupyter notebooks, for enhanced functionality.
HTTP headers
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