BEAR-Python-DataScience 2019b-foss-2019b-Python-3.7.4

There is a newer version of BEAR-Python-DataScience

This module provides access to several Python Data Science libraries. It was primarily available for use in the BlueBEAR Portal, but has been replaced by an in JupyterLab method of loading modules.

Accessing BEAR-Python-DataScience 2019b-foss-2019b-Python-3.7.4

To load the module for BEAR-Python-DataScience 2019b-foss-2019b-Python-3.7.4 please use this command on the BEAR systems (BlueBEAR, BEAR Cloud VMs, and CaStLeS VMs):

module load BEAR-Python-DataScience/2019b-foss-2019b-Python-3.7.4

There is a GPU enabled version of this module: BEAR-Python-DataScience 2019b-fosscuda-2019b-Python-3.7.4

BEAR Apps Version

2020a

Dependencies

This version of BEAR-Python-DataScience has a direct dependency on: BeautifulSoup/4.8.2-GCCcore-8.3.0 bokeh/1.4.0-foss-2019b-Python-3.7.4 dask/2.8.0-foss-2019b-Python-3.7.4 edlib/1.3.8.post1-foss-2019b-Python-3.7.4 foss/2019b Globus-CLI/1.11.0-GCCcore-8.3.0-Python-3.7.4 hdf5storage/0.1.15-foss-2019b-Python-3.7.4 hypothesis/4.44.2-GCCcore-8.3.0-Python-3.7.4 imageio/2.6.1-foss-2019b-Python-3.7.4 imageio-ffmpeg/0.3.0-foss-2019b-Python-3.7.4 Keras/2.3.1-foss-2019b-Python-3.7.4 lxml/4.4.2-GCCcore-8.3.0 Mako/1.1.0-GCCcore-8.3.0 matplotlib/3.1.1-foss-2019b-Python-3.7.4 networkx/2.4-foss-2019b-Python-3.7.4 OpenCV/4.2.0-foss-2019b-Python-3.7.4 openpyxl/3.0.4-GCCcore-8.3.0-Python-3.7.4 Pingouin/0.3.8-foss-2019b-Python-3.7.4 PyGEOS/0.7.1-foss-2019b-Python-3.7.4 PyTables/3.6.1-foss-2019b-Python-3.7.4 Python/3.7.4-GCCcore-8.3.0 PyTorch/1.4.0-foss-2019b-Python-3.7.4 Rtree/0.9.4-GCCcore-8.3.0-Python-3.7.4 scikit-learn/0.21.3-foss-2019b-Python-3.7.4 Seaborn/0.10.0-foss-2019b-Python-3.7.4 statsmodels/0.11.0-foss-2019b-Python-3.7.4 TensorFlow/2.0.0-foss-2019b-Python-3.7.4 tensorflow_probability/0.8.0-foss-2019b-Python-3.7.4 Theano/1.0.4-foss-2019b-Python-3.7.4 TinyDB/3.15.2-GCCcore-8.3.0

Other Versions

These versions of BEAR-Python-DataScience 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 6th May 2020