There is a newer version of bokehStatistical and novel interactive HTML plots for Python
Accessing bokeh 1.4.0-foss-2019b-Python-3.7.4
To load the module for bokeh 1.4.0-foss-2019b-Python-3.7.4 please use this command on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs):
module load bokeh/1.4.0-foss-2019b-Python-3.7.4
There is a GPU enabled version of this module: bokeh 1.4.0-fosscuda-2019b-Python-3.7.4
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.
- bokeh 1.4.0
- tornado 6.0.3
For more information visit the bokeh website.
This version of bokeh has a direct dependency on: foss/2019b Pillow/6.2.1-GCCcore-8.3.0 Python/3.7.4-GCCcore-8.3.0 PyYAML/5.1.2-GCCcore-8.3.0 SciPy-bundle/2019.10-foss-2019b-Python-3.7.4
This version of bokeh is a direct dependent of: BEAR-Python-DataScience/2019b-foss-2019b-Python-3.7.4 dask/2.8.0-foss-2019b-Python-3.7.4 mosfit/1.1.6-foss-2019b-Python-3.7.4
These versions of bokeh 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.
Last modified on 24th February 2020