...
Anaconda is a free and open-source distribution of the Python and R programming languages for scientific computing. The big difference between conda Conda and the pip package manager is in how the package dependencies are managed, which is a significant challenge for Python data science and the reason conda Conda exists.
(see webpage https://www.anaconda.comfor details)
Existing Anaconda Environment
There are currently 6 conda Conda environments supported on HAL system
| Environment Name | Location | Description |
|---|---|---|
| base | /opt/apps/anaconda3 | default Conda env with basic python packages, python version 3.7. |
| powerai_env_2 | /opt/apps/anaconda3/envs/powerai_env_2 | default Conda env with basic python packages, python version 3.7. |
| 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 |
...
We recommend our users to create a new environment from one of our existing powerai or wmlce enviornment environment.
| Code Block | ||||
|---|---|---|---|---|
| ||||
conda create --name=<new_env> --clone=wmlce-v1.6.1-py3.6 |
The new conda Conda environment will be located within $HOME/.conda/envs/<my_env>, then users can search and/or install python packages via condaConda
| Code Block | ||||
|---|---|---|---|---|
| ||||
conda search r-tensorflow |
...
Create Anaconda Environment from Scratch
Users can also create a new environment from scratch
| Code Block | ||||
|---|---|---|---|---|
| ||||
conda create --name=<new_env_name> |
Important Note about Install package with pip
Some packages only support installing with "pip" and we allow users to install the package with "pip" within their own conda environment. However, install with "pip" is not always work since it could have a conflict with the Conda environment.