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 It was primarily available for use in the BlueBEAR Portal, but has been replaced by an in JupyterLab method of loading modules.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-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, BEARCloud VMs, and CaStLeS VMs):
module load BEAR-Python-DataScience/2019b-foss-2019b-Python-2.7.16
BEAR Apps Version
EL8-cascadelake — EL8-haswell — Ubuntu20.04-haswell
The listed architectures consist of two part: OS-CPU.
- BlueBEAR: The OS used on BlueBEAR 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.
- BEAR and CaStLeS Cloud VMs: These VMs can have one of two OSes. Those with access to a BEAR Cloud or CaStLeS VM should check that the listed architectures for an application include the OS of VM being used. The VMs, irrespective of OS, will use the haswell CPU type.
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
These versions of BEAR-Python-DataScience are available on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs). These will be retained in accordance with our Applications Support and Retention Policy.
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Last modified on 6th May 2020