Here's an interesting language for mathematical endeavors
http://julialang.org/
hat'tip to Paul Snively
@psnively
From the
Julia blog:
Julia is a dynamic language in the tradition of Lisp, Perl, Python
and Ruby. It aims to advance expressiveness and convenience for
scientific and technical computing beyond that of environments like
Matlab and NumPy, while simultaneously closing the performance gap with
compiled languages like C, C++, Fortran and Java.
Most high-performance dynamic language implementations have taken an
existing interpreted language and worked to accelerate its execution. In
creating Julia, we have reconsidered the basic language design, taking
into account the capabilities of modern JIT compilers and the specific
needs of technical computing. Our design includes:
- Multiple dispatch as the core language paradigm.
- Exposing a sophisticated type system including parametric dependent types.
- Dynamic type inference to generate fast code from programs with no declarations.
- Aggressive specialization of generated code for types encountered at run-time.
Julia feels light and natural for data exploration and algorithm
prototyping, but has performance that lets you deploy your prototypes.
