SciPy-bundle 2023.02-gfbf-2022b

Bundle of Python packages for scientific software

Accessing SciPy-bundle 2023.02-gfbf-2022b

To load the module for SciPy-bundle 2023.02-gfbf-2022b please use this command on the BEAR systems (BlueBEAR and BEAR Cloud VMs):

📋 module load bear-apps/2022b module load SciPy-bundle/2023.02-gfbf-2022b

BEAR Apps Version

2022b

Architectures

EL8-cascadelake — EL8-icelake — EL8-sapphirerapids

The listed architectures consist of two part: OS-CPU. The OS used is represented by EL and there are several different processor (CPU) types available on BlueBEAR. More information about the processor types on BlueBEAR is available on the BlueBEAR Job Submission page.

Extensions

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

More Information

For more information visit the SciPy-bundle website.

Dependencies

This version of SciPy-bundle has a direct dependency on: gfbf/2022b pybind11/2.10.3-GCCcore-12.2.0 Python/3.10.8-GCCcore-12.2.0

Required By

This version of SciPy-bundle is a direct dependent of: Arrow/11.0.0-gfbf-2022b autograd/1.6.3-foss-2022b BEAR-Python-MSc-Bioinformatics/2022b-foss-2022b Biopython/1.81-foss-2022b BioServices/1.11.2-foss-2022b bokeh/3.2.1-foss-2022b BUSCO/5.4.7-foss-2022b clinker/0.0.28-foss-2022b cma/3.3.0-foss-2022b dask/2023.7.1-foss-2022b GDAL/3.6.2-foss-2022b gprofiler-official/1.0.0-foss-2022b h5py/3.8.0-foss-2022b imageio/2.31.1-foss-2022b kinbot/2.2.1-foss-2022b matplotlib/3.7.0-gfbf-2022b Meep/1.28.0-foss-2022b mlxtend/0.22.0-gfbf-2022b MNE-Python/1.6.1-foss-2022b mofapy2/0.7.0-foss-2022b mvlearn/0.5.0-foss-2022b networkx/3.0-gfbf-2022b NiBabel/5.2.0-gfbf-2022b Nilearn/0.10.3-gfbf-2022b NLopt/2.7.1-foss-2022b-Python NLTK/3.8.1-foss-2022b numba/0.58.1-foss-2022b OpenCV/4.8.0-foss-2022b-contrib OpenMEEG/2.5.7-foss-2022b ParaView/5.11.1-foss-2022b pept/0.5.1-foss-2022b PETSc/3.19.2-foss-2022b polars/0.19.12-foss-2022b preCICE/2.5.0-foss-2022b pyhpo/3.2.2-gfbf-2022b PyTorch/1.13.1-foss-2022b pyvis/0.3.1-foss-2022b pyvista/0.41.1-foss-2022b RDKit/2023.03.3-foss-2022b scikit-learn/1.2.1-gfbf-2022b Serialbox/2.6.1-foss-2022b ShortStack/4.0.2-foss-2022b SignalP/6.0h-foss-2022b-fast statsmodels/0.14.0-gfbf-2022b taxmyphage/0.2.7-foss-2022b Trinity/2.15.1-foss-2022b VTK/9.2.6-foss-2022b wittgenstein/0.3.4-foss-2022b

Other Versions

These versions of SciPy-bundle are available on the BEAR systems (BlueBEAR and BEAR Cloud VMs). These will be retained in accordance with our Applications Support and Retention Policy.

Version	BEAR Apps Version
2022.05-intel-2022a	2022a
2022.05-foss-2022a	2022a
2021.10-foss-2021b	2021b
2021.05-iomkl-2021a	2021a
2021.05-foss-2021a	2021a
2020.11-iomkl-2020b	2020b
2020.11-fosscuda-2020b	2020b
2020.11-foss-2020b	2020b
2020.03-foss-2020a-Python-3.8.2	2020a
2020.03-foss-2020a-Python-2.7.18	2020a
2019.10-iomkl-2019b-Python-3.7.4	2019b
2019.10-foss-2019b-Python-3.7.4	2019b
2019.10-foss-2019b-Python-2.7.16	2019b
2019.03-foss-2019a	2019a

Last modified on 14th July 2023