Introduction

The NumExpr package for Python 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 on the fly into code for its internal virtual machine (VM). Due to its integrated just-in-time (JIT) compiler, it does not require a compiler at runtime.

Web Page

Official website

Versions

2.6.2

Flavours

py27/1

Architecture

x86_64

Group

module load site-local

Build Details

Compiled with:

• gcc/4.9.3
• python/numpy/py27/1.11.2
• python/2.7.12

Usage

module load python/numexpr/2.6.2/py27/1

Example Job Scripts

None yet.

Status

Partially tested.