Links

This page lists links to various resources.

PyTensor requirements

• git: A distributed revision control system (RCS).

• pytest: A system for unit testing.

• numpy: A library for efficient numerical computing.

• python: The programming language in which PyTensor is written.

• scipy: A library for scientific computing.

Libraries we might want to look at or use

This is a sort of memo for developers and would-be developers.

• autodiff: Tools for automatic differentiation.

• boost.python: An interoperability layer between Python and C++

• cython: A language to write C extensions to Python.

• liboil: A library for CPU-specific optimization.

• llvm: A low-level virtual machine we might want to use for compilation.

• networkx: A package to create and manipulate graph structures.

• pycppad: Python bindings to an AD package in C++.

• pypy: Optimizing compiler for Python in Python.

• shedskin: An experimental (restricted-)Python-to-C++ compiler.

• swig: An interoperability layer between Python and C/C++

• unpython: Python to C compiler.