BEAR-Python-DataScience 2019b-foss-2019b-Python-2.7.16
There is a newer install of BEAR-Python-DataScience
This module provides access to several Python Data Science libraries. It was primarily available for use in the BEAR Portal, but has been replaced by an in JupyterLab method of loading modules.
Accessing BEAR-Python-DataScience 2019b-foss-2019b-Python-2.7.16
To load the module for BEAR-Python-DataScience 2019b-foss-2019b-Python-2.7.16 please use this command on the BEAR systems (BlueBEAR and BEAR Cloud VMs):
📋
module load BEAR-Python-DataScience/2019b-foss-2019b-Python-2.7.16
BEAR Apps Version
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.
Dependencies
This version of BEAR-Python-DataScience has a direct dependency on: BeautifulSoup/4.8.2-GCCcore-8.3.0 foss/2019b lxml/4.4.2-GCCcore-8.3.0 Python/2.7.16-GCCcore-8.3.0 scikit-learn/0.20.4-foss-2019b-Python-2.7.16 SciPy-bundle/2019.10-foss-2019b-Python-2.7.16 TinyDB/3.15.2-GCCcore-8.3.0
Other Versions
These versions of BEAR-Python-DataScience 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 |
|---|---|
| 2020a-foss-2020a-Python-3.8.2 | 2020a |
| 2019b-foss-2019b-Python-3.7.4 | 2019b |
Last modified on 6th May 2020