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CalCulus is a high-performance scientific computing library written in C++ with Python bindings. It provides fast, accurate, and efficient mathematical operations designed for robotics, physics simulations, engineering, and scientific computing.
CalCulus combines the speed of native C++ execution with the simplicity of Python, making it suitable for both high-performance systems and educational use.
CalCulus is a hybrid scientific computing library consisting of:
- A C++ scientific computation engine
- Python bindings using pybind11
- Optimized mathematical and vector operations
- Numerical calculus tools
- Scientific constants
The library is designed to provide significantly faster performance than pure Python implementations while maintaining ease of use.
| Property | Value |
|---|---|
| Name | CalCulus |
| Type | Scientific Computing Library |
| Language | C++ (backend), Python (bindings) |
| Binding Framework | pybind11 |
| Platform | Cross-platform |
| License | MIT |
| Use Cases | Robotics, Physics, Engineering, Scientific Computing |
| Performance | Native C++ execution speed |
CalCulus is designed with the following goals:
- High performance
- Scientific accuracy
- Minimal overhead
- Clean API design
- Robotics-ready architecture
- Physics simulation support
- Cross-platform compatibility
- Easy Python integration
CalCulus uses a layered architecture: Python Layer ↓ Python Binding Layer (pybind11) ↓ C++ Scientific Engine
This allows Python users to access high-performance C++ computations seamlessly.
The Scalar class represents a scientific numerical value with extended mathematical functionality.