SciPy-bundle 2020.11-fosscuda-2020b
There is a newer install of SciPy-bundle
Bundle of Python packages for scientific softwareAccessing SciPy-bundle 2020.11-fosscuda-2020b
To load the module for SciPy-bundle 2020.11-fosscuda-2020b please use this command on Baskerville:
📋
module load bask-apps/live
module load SciPy-bundle/2020.11-fosscuda-2020b
Bask Apps Env
Extensions
- 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
More Information
For more information visit the SciPy-bundle website.
Dependencies
This version of SciPy-bundle has a direct dependency on: fosscuda/2020b pybind11/2.6.0-GCCcore-10.2.0 Python/3.8.6-GCCcore-10.2.0
Required By
This version of SciPy-bundle is a direct dependent of: bokeh/2.2.3-fosscuda-2020b Bullet3/20210920-fosscuda-2020b CuPy/8.5.0-fosscuda-2020b dask/2021.2.0-fosscuda-2020b FBPIC/0.20.3-fosscuda-2020b GROMACS/2021.2-fosscuda-2020b h5py/3.1.0-fosscuda-2020b h5py/2.10.0-fosscuda-2020b HDBSCAN/0.8.26-fosscuda-2020b imageio/2.9.0-fosscuda-2020b libgpuarray/0.7.6-fosscuda-2020b matplotlib/3.3.3-fosscuda-2020b mrcfile/1.3.0-fosscuda-2020b networkx/2.5-fosscuda-2020b numba/0.53.1-fosscuda-2020b OpenCV/4.5.1-fosscuda-2020b-contrib PETSc/3.14.4-fosscuda-2020b PLUMED/2.6.2-fosscuda-2020b pyFFTW/0.12.0-fosscuda-2020b PyTorch/1.8.1-fosscuda-2020b scikeras/0.4.1-fosscuda-2020b scikit-learn/0.23.2-fosscuda-2020b tensorboardX/2.4-fosscuda-2020b-PyTorch-1.8.1 TensorFlow/2.4.1-fosscuda-2020b Theano/1.1.2-fosscuda-2020b-PyMC VTK/9.0.1-fosscuda-2020b
Other Versions
These versions of SciPy-bundle are available on Baskerville. These will be retained in accordance with our Applications Support and Retention Policy.
Version | Bask Apps Env |
---|---|
2023.07-gfbf-2023a | live |
2023.02-gfbf-2022b | live |
2022.05-foss-2022a | live |
2021.05-foss-2021a | live |
2021.05-foss-2021a | test |
Last modified on 9th July 2021