You are viewing an old version of this page. View the current version.

Compare with Current View Page History

« Previous Version 7 Next »

Anaconda Environment

Background

Anaconda is a free and open-source distribution of the Python and R programming languages for scientific computing. The big difference between conda and the pip package manager is in how package dependencies are managed, which is a significant challenge for Python data science and the reason conda exists.

(see webpage https://www.anaconda.com for details)

Existing Anaconda Environment

There are currently 6 conda environments supported on HAL system

Environment NameLocationDescription
base/opt/apps/anaconda3
powerai_env_2/opt/apps/anaconda3/envs/powerai_env_2
powerai_env_3/opt/apps/anaconda3/envs/powerai_env_3
wmlce-v1.6.1-py2.7/opt/apps/anaconda3/envs/wmlce-v1.6.1-py2.7
wmlce-v1.6.1-py3.6/opt/apps/anaconda3/envs/wmlce-v1.6.1-py3.6
tensorflow-v2.0-beta/opt/apps/anaconda3/envs/tensorflow-v2.0-beta

Create a New Env from Existing Envs

We recommend

Create a New Env from Existing Env
conda create --name=<new_env_name> --clone=wmlce-v1.6.1-py3.6


Create Anaconda Environment from Scratch


Create a New Env from Existing Env
conda create --name=<new_env_name>
  • No labels