python-numexpr - Fast numerical array expression evaluator for Python and NumPy

Property Value
Distribution Debian 9 (Stretch)
Repository NeuroDebian Main amd64
Package filename python-numexpr_2.6.2-1~nd90+1_amd64.deb
Package name python-numexpr
Package version 2.6.2
Package release 1~nd90+1
Package architecture amd64
Package type deb
Category python
License -
Maintainer NeuroDebian Maintainers <>
Download size 140.04 KB
Installed size 421.00 KB
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.
This is the Python 2 version of the package.


Package Version Architecture Repository
python-numexpr_2.6.2-1~nd90+1_i386.deb 2.6.2 i386 NeuroDebian Main
python-numexpr_2.6.1-4_amd64.deb 2.6.1 amd64 Debian Main
python-numexpr_2.6.1-4_i386.deb 2.6.1 i386 Debian Main
python-numexpr - - -


Name Value
libc6 >= 2.14
libgcc1 >= 1:3.0
libstdc++6 >= 4.1.1
neurodebian-popularity-contest -
python >= 2.7~
python << 2.8
python-numpy >= 1:1.10.0~b1
python-numpy-abi9 -
python-pkg-resources -
python:any >= 2.7.5-5~
python:any << 2.8


Type URL
Binary Package python-numexpr_2.6.2-1~nd90+1_amd64.deb
Source Package numexpr

Install Howto

  1. Add the following line to /etc/apt/sources.list:
    deb stretch main contrib non-free
  2. Install GPG key of the repository:
    # sudo apt-key adv --recv-keys --keyserver hkp:// 0xA5D32F012649A5A9
  3. Update the package index:
    # sudo apt-get update
  4. Install python-numexpr deb package:
    # sudo apt-get install python-numexpr

See Also

Package Description
python-openopt_0.38+svn1589-1~nd70+1+nd90+1_all.deb Python module for numerical optimization
python-openpyxl_2.4.9-1~nd90+1_all.deb Python module to read/write OpenXML xlsx/xlsm files
python-packaging_16.2-2~nd90+1_all.deb core utilities for python packages
python-pandas-doc_0.22.0-2~nd90+1_all.deb documentation and examples for pandas
python-pandas-lib-dbgsym_0.22.0-2~nd90+1_amd64.deb Debug symbols for python-pandas-lib
python-pandas-lib_0.22.0-2~nd90+1_amd64.deb low-level implementations and bindings for pandas
python-pandas_0.22.0-2~nd90+1_all.deb data structures for "relational" or "labeled" data
python-patsy-doc_0.5.0+git13-g54dcf7b-1~nd90+1_all.deb documentation and examples for patsy
python-patsy_0.5.0+git13-g54dcf7b-1~nd90+1_all.deb statistical models in Python using symbolic formulas
python-pkg-resources_20.10.1-1.1~bpo8+1~nd90+1_all.deb Package Discovery and Resource Access using pkg_resources
python-pp_1.6.2-2~nd70+1+nd90+1_all.deb parallel and distributed programming toolkit for Python
python-pprocess_0.5-2~nd90+1_all.deb elementary parallel programming for Python
python-props_0.10.1-1~nd90+1_all.deb Python descriptor framework
python-prov-doc_1.5.0-1+nd1~nd90+1_all.deb documentation for prov
python-prov_1.5.0-1+nd1~nd90+1_all.deb W3C Provenance Data Model (Python 2)