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, BEAR Cloud VMs, and CaStLeS VMs):

module load SciPy-bundle/2023.02-gfbf-2022b

BEAR Apps Version

2019a

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 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 mofapy2/0.7.0-foss-2022b mvlearn/0.5.0-foss-2022b networkx/3.0-gfbf-2022b NLopt/2.7.1-foss-2022b-Python NLTK/3.8.1-foss-2022b OpenCV/4.8.0-foss-2022b-contrib pept/0.5.1-foss-2022b polars/0.19.12-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 ShortStack/4.0.2-foss-2022b SignalP/6.0h-foss-2022b-fast statsmodels/0.14.0-gfbf-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, BEAR Cloud VMs, and CaStLeS VMs). These will be retained in accordance with our Applications Support and Retention Policy.

Last modified on 14th July 2023