A = Matrix([[2, 1], [1, 3]]) b = [5, 6] x = solve(A, b) print(x) # Output: [1.8, 1.4]
MathFrame is more than just another math library—it’s a community-driven project that balances performance with clarity. Whether you’re a student trying to understand QR decomposition or a developer building a financial model, MathFrame on GitHub provides the tools you need.
git clone https://github.com/username/mathframe.git cd mathframe pip install -r requirements.txt mathframe github
MathFrame is now available on GitHub, which means you can easily access and contribute to the project. Here's how to get started:
The project welcomes contributions. Check the CONTRIBUTING.md file for guidelines. Common entry points: A = Matrix([[2, 1], [1, 3]]) b =
Modern math tools on GitHub packages bridge pure symbols (like variables ) with exact floating-point evaluation arrays.
mathframe/ ├── mathframe/ # Main source code │ ├── core/ # Matrix, expression, calculus │ ├── stats/ # Statistical functions │ ├── plotting/ # Visualization wrappers │ └── utils/ # Helpers and validation ├── examples/ # Jupyter notebooks and scripts ├── tests/ # Unit tests (pytest) ├── docs/ # Sphinx-generated documentation ├── .github/ # Issue templates, CI workflows ├── LICENSE └── README.md Here's how to get started: The project welcomes
MathFrame is a semantic parsing framework. Its core objective is to bridge the gap between informal human language and formal mathematical logic.
So, what makes MathFrame special? Here are some of its key features: