Python¶

Anaconda3 Python is available in /usr/local/anaconda3/bin.

Conda¶

Note

Anaconda is disabled by default. Otherwise, Anaconda libraries interfere with the operating system network utilities.

When you want Anaconda, run conda activate <env_name> in your terminal. Instructions are below.

To list environments:
```
conda env list
```
To create an environment:
```
conda create --name <env_name>
```
Replace <env_name> with the name of your environment. No packages will be installed in this environment. Confirm the env location with ‘conda env list’.

To create an environment with a specific package:

conda create -n <env_name> scipy

which can also be accomplished using:

conda create -n <env_name> python
conda install -n <env_name> scipy

To activate a conda environment:
```
conda activate <env_name>
```
To leave your conda environment:
```
conda deactivate
```
More information about managing environments is here:

https://docs.conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html

list packages installed in a specific environment:
```
conda list -n <env_name>
```
Install a package from the ‘defaults’ channel:
```
conda install -n <env_name> scipi
```
More information about managing packages is here:

https://docs.conda.io/projects/conda/en/latest/user-guide/tasks/manage-pkgs.html

By default, Slurm doesn’t initialize conda environments from a user’s .bashrc file.

To initialize conda, add the following line to your slurm submit script:

eval "$(/usr/local/anaconda3/bin/conda shell.bash hook)"
conda activate <env_name>

You may run jupyter notebook/lab on the neuro cluster with a Firefox web browser.

Log in via ref:remote desktop<rdp>
open a terminal window
From your terminal on the neuro cluster, run ‘jupyter notebook’:
```
jupyter notebook
```

Note

Firefox has limited access to the internet.