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A library for defining, optimizing, and efficiently evaluating mathematical expressions involving multi-dimensional arrays.
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/
Download counts and popularity will appear here as the collector receives them.
| Version | Published | Direct dependencies | Open version |
|---|---|---|---|
| 2.9.4.post1 | 4 Sept 2024 | 9 |
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Observed since 20 Oct, 20:49 UTC
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package:c39c3914f843ec5c8c0b86e92a0da519bbd8da3165a2f58b3dba56f638bf2b9b