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DESCRIPTION.rst

-PyTensor 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_. PyTensor features:
-
- * **tight integration with NumPy:** a similar interface to NumPy's. numpy.ndarrays are also used internally in PyTensor-compiled functions.
- * **efficient symbolic differentiation:** PyTensor 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/

pyproject.toml

@@ -17,7 +17,7 @@ authors = [
     {name = "pymc-devs", email = "pymc.devs@gmail.com"}
 ]
 description = "Optimizing compiler for evaluating mathematical expressions on CPUs and GPUs."
-readme = "DESCRIPTION.rst"
+readme = "README.rst"
 license = {file = "LICENCE.txt"}
 classifiers = [
     "Development Status :: 6 - Mature",