Aesara is a Python library that allows you to define, optimize, and efficiently evaluate mathematical expressions involving multi-dimensional arrays. It is built on top of NumPy_. Aesara features:
- tight integration with NumPy: a similar interface to NumPy's. numpy.ndarrays are also used internally in Aesara-compiled functions.
- efficient symbolic differentiation: Aesara can compute derivatives for functions of one or many inputs.
- speed and stability optimizations: avoid nasty bugs when computing expressions such as log(1 + exp(x)) for large values of x.
- dynamic C code generation: evaluate expressions faster.
- extensive unit-testing and self-verification: includes tools for detecting and diagnosing bugs and/or potential problems.
.. _NumPy: http://numpy.scipy.org/