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DS01 User Documentation

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Deploy in ~30 minutes →Explore the full guide →
Get straight to a running GPU container: connect via SSH, set up your keys, and deploy your first containerised project.Work through the docs properly — setup, key concepts, daily workflow, then intermediate and advanced topics at your own pace.

Documentation Structure

docs/
├── getting-started/ Start here
├── core-guides/ Task-focused how-tos
├── intermediate/ Atomic commands, CLI flags, scripting
├── advanced/ Docker direct, terminal workflows, batch jobs
├── key-concepts/ Key Concepts to Understand (DS01-specific)
├── background/ Educational Computing Context (career skills)
├── reference/ Command quick reference
└── troubleshooting/ Fix problems

Separation of Concerns


Suggested Learning Paths

Path 1: Beginner

"I just want to work on my thesis"

In a hurry?

Follow the 30-minute Quickstart — connect via SSH, set up your keys, and deploy your first GPU container.

Essential (do these first):

  1. Prerequisites - Check what you need
  2. First-Time Setup - SSH keys, accounts (~15 min)
  3. Containers & Images - Mental model (~5 min)
  4. Workspaces & Persistence - Where files live (~5 min)
  5. First Container - Get hands-on experience
  6. Daily Workflow - Your regular routine
  7. Help System - How to get unstuck

IDE Setup (optional, choose one):

Commands: user setup, project init, project launch, container deploy, container retire

Pro tip: Use --guided and --concepts flags while learning, they explain each step.

Path 2: Intermediate

"I want more control and efficiency" - you're comfortable with containers and want to automate repetitive tasks or understand system internals.

Core Understanding:

  1. Command Hierarchy - How commands are organised
  2. Container States - created, running, stopped, removed
  3. Atomic Commands - Single-purpose fine-grained control

Practical Skills:

  1. CLI Flags & Options - Faster than interactive mode
  2. Shell Aliases - Custom command shortcuts
  3. Bash Scripting - Automate container workflows
  4. Python Scripting - Programmatic container management

Commands: container-create, container-start, container-stop, container-remove, image-update, image-delete

Path 3: Advanced

"I prefer Docker commands and terminal workflows" - you're comfortable with Linux/Docker, want maximum flexibility, or have specialized workload needs.

Docker & Container Mastery:

  1. Docker Direct - Using native Docker commands
  2. Complete Dockerfile Guide - Advanced layering, optimization
  3. Container States Deep Dive - Full lifecycle understanding

Terminal & Development:

  1. Terminal Workflows - vim/tmux development patterns
  2. Advanced SSH - SSH tunneling, X11 forwarding, port mapping
  3. Shell Aliases & Custom Commands - Personalize your workflow

Specialized Workloads:

  1. Batch Jobs & Non-Interactive Execution - Training scripts, cron jobs
  2. Efficiency Tips - Performance optimization, resource tricks

Conceptual Documentation

DS01 has two types of conceptual documentation with different purposes:

  1. Key Concepts - these are practical DS01-specific guides
  2. Background Knowledge - these are more theoretically-oriented primers on basic CS principles & industry parallels informaing DS01's design
Key ConceptsBackground Knowledge
~20 min total~1+ hour total
Containers and Images — Why do packages disappear? Why rebuild images?Containers & Docker — Kubernetes, CI/CD, microservices
Ephemeral Containers — Why are containers temporary? Will I lose work?Servers & HPC — AWS, GCP, cloud computing
Workspaces and Persistence — Where are my files? What persists?Linux Basics — Any server/cloud work
Python Environments — Do I need venv/conda?Industry Parallels — Direct cloud platform preparation

See full overviews: Key Concepts | Background


Practical Guides

Step-by-step instructions for common tasks:

All guides →