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SciPy-bundle

Bundle of Python packages for scientific software

https://python.org/

Available modules

The overview below shows which SciPy-bundle installations are available per target architecture in the HPCC module system, ordered based on software version (new to old).

To start using SciPy-bundle, load one of these modules using a module load command like:

1
module load SciPy-bundle/2023.11-gfbf-2023b

(This data was automatically generated on Thu, 08 May 2025 at 12:07:26 EDT)

neoverse_v1 generic zen2 zen3 zen4 haswell skylake_avx512
Grace Nodes everywhere (except Grace nodes) amd20 amd22 amd24 intel16 intel18,amd20-v100,amd21,intel21
SciPy-bundle/2023.11-gfbf-2023b - x - - - x -
SciPy-bundle/2023.07-gfbf-2023a - x - - - x -
SciPy-bundle/2023.02-gfbf-2022b - x - - - x -
SciPy-bundle/2022.05-foss-2022a - - - - - x -
SciPy-bundle/2020.11-foss-2020b - x - - - x -

SciPy-bundle/2023.11-gfbf-2023b

This is a list of extensions included in the module:

beniget-0.4.1, Bottleneck-1.3.7, deap-1.4.1, gast-0.5.4, mpmath-1.3.0, numexpr-2.8.7, numpy-1.26.2, pandas-2.1.3, ply-3.11, pythran-0.14.0, scipy-1.11.4, tzdata-2023.3, versioneer-0.29

SciPy-bundle/2023.07-gfbf-2023a

This is a list of extensions included in the module:

beniget-0.4.1, Bottleneck-1.3.7, deap-1.4.0, gast-0.5.4, mpmath-1.3.0, numexpr-2.8.4, numpy-1.25.1, pandas-2.0.3, ply-3.11, pythran-0.13.1, scipy-1.11.1, tzdata-2023.3, versioneer-0.29

SciPy-bundle/2023.02-gfbf-2022b

This is a list of extensions included in the module:

beniget-0.4.1, Bottleneck-1.3.5, deap-1.3.3, gast-0.5.3, mpmath-1.2.1, numexpr-2.8.4, numpy-1.24.2, pandas-1.5.3, ply-3.11, pythran-0.12.1, scipy-1.10.1

SciPy-bundle/2022.05-foss-2022a

This is a list of extensions included in the module:

beniget-0.4.1, Bottleneck-1.3.4, deap-1.3.3, gast-0.5.3, mpi4py-3.1.3, mpmath-1.2.1, numexpr-2.8.1, numpy-1.22.3, pandas-1.4.2, ply-3.11, pythran-0.11.0, scipy-1.8.1

SciPy-bundle/2020.11-foss-2020b

This is a list of extensions included in the module:

Bottleneck-1.3.2, deap-1.3.1, mpi4py-3.0.3, mpmath-1.1.0, numexpr-2.7.1, numpy-1.19.4, pandas-1.1.4, scipy-1.5.4