Environments

Currently there are two pre-built environments available for general usage. These include the default which should cover many general use cases, and the remote desktop which has everything the default environment includes, and adds a remote desktop feature in the browser. The remote desktop feature allows for running graphical applications in the cluster environment that would not have been previously possible.

Default

Python Data Science packages installed:

  • numpy

  • matplotlib

  • pandas

  • pytorch

  • torchvision

  • torchaudio

  • pytorch-cuda

  • tensorflow-gpu

  • opencv

  • scipy

  • scikit-learn

  • scrapy

  • beautifulsoup4

  • keras

R Packages (from r-essentials):

  • r-base

  • r-recommended

  • r-ggplot2

  • r-plyr

  • r-reshape2

  • r-dplyr

  • r-tidyr

  • r-caret

  • r-randomforest

  • r-data.table

  • r-quantmod

  • r-shiny

  • r-rmarkdown

  • r-glmnet

  • r-jsonlite

  • r-zoo

  • r-rbokeh

  • r-formatr

  • r-tidyverse

  • r-dbi

  • r-broom

  • r-forcats

  • r-haven

  • r-hms

  • r-httr

  • r-lubridate

  • r-magrittr

  • r-modelr

  • r-purrr

  • r-readr

  • r-readxl

  • r-rvest

  • r-stringr

  • r-tibble

  • r-xml2

  • full list of R packages

All installed Conda Packages (Python, R, etc.):

In addition to what is installed from Conda, the environment has many of the familiar packages found on Linux systems:

  • tar

  • xz

  • gzip

  • bzip2

  • git

  • zip

  • unzip

  • wget

  • which

  • find-utils

  • bash-completion

  • less

  • htop

  • man-db

  • man-pages

  • tmux

  • pandoc (for exporting the Jupyter notebooks)

Jupyter extensions / features:

  • jupyter-resource-usage

  • nbgitpuller

  • ipywidgets

Various LSPs (for making editing easier):

  • python-lsp-server

  • r-languageserver

  • bash-language-server

Remote Desktop

Extends the Default environment, by adding:

  • XFCE Desktop

  • Firefox

  • Emacs

  • Neovim

  • VSCode