SymbolicC++
SymbolicC++ is an open-source software that allows users to write programs using mathematical notation similar to the C++ language. It aims to make software development more accessible for non-programmers.
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SymbolicC++: Open-Source Programming Language
SymbolicC++ allows users to write programs using mathematical notation similar to the C++ language, making software development more accessible for non-programmers.
What is SymbolicC++?
SymbolicC++ is an open-source, mathematical programming language that is syntactically similar to C++. It allows users to write programs using mathematical notation instead of traditional programming syntax.
Some key features of SymbolicC++ include:
- Supports common mathematical operations like derivatives, integrals, matrices, etc. Users can write programs using actual mathematical symbols.
- Aims to make coding more accessible to non-programmers like scientists, engineers, students who are familiar with math concepts but not coding.
- Built on top of the SymEngine computer algebra system library to leverage fast mathematical computations.
- Outputs portable and efficient C++ code that can be compiled with a standard C++ compiler.
- Open-source software released under the GNU LGPLv3 license.
The goal of SymbolicC++ is to blend the readability of mathematical notation with the practicality of a general-purpose programming language like C++. This allows domain experts to directly translate their mathematical models into software without needing to learn coding. It has potential use cases in education, scientific computing, economics, statistics, and other technical fields.
SymbolicC++ Features
Features
- Allows writing C++ code using mathematical notation
- Provides symbolic representations and algebraic manipulations
- Supports code generation from symbolic representations
- Integrates symbolic math with imperative programming
- Open source with MIT license
Pricing
- Open Source
Pros
Makes programming more accessible to non-programmers
Allows rapid prototyping and testing of mathematical algorithms
Cleaner syntax compared to raw C++ code
Easier to verify mathematical correctness
Cons
Limited adoption and developer community
Not as performant as raw C++ code
Debugging symbolic code can be challenging
Steep learning curve for C++ developers
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