- python3 (<< 3.14)
- python3 (>= 3.12~)
- python3-numpy (>= 1:1.25.0)
- python3-numpy-abi9
- python3:any
- libc6 (>= 2.38)
- libgcc-s1 (>= 3.0)
- libstdc++6 (>= 5)
- python3-packaging
Numexpr package evaluates multiple-operator array expressions many
times faster than NumPy can. It accepts the expression as a string,
analyzes it, rewrites it more efficiently, and compiles it to faster
Python code on the fly. It's the next best thing to writing the
expression in C and compiling it with a specialized just-in-time
(JIT) compiler, i.e. it does not require a compiler at runtime.
Installed Size: 782.3 kB
Architectures: amd64 arm64