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  • Start Here
    • Introduction to NCIL
      • Welcome
      • Mission Statement
      • Getting Started
      • Make this handbook better!
  • Policies & Expectations
    • Working in NCIL
      • Aaron's Philosophy on Supervision
      • General Policies
      • Roles & Expectations
        • Interpersonal and Working Relationships
        • Lab Director: Aaron Newman
        • Lab Manager: Cindy Hamon-Hill
        • Collaborators
        • Postdocs
        • Lab Research Assistants
        • Graduate Students
        • Undergraduate Students
      • Work Ethic
        • Vacations & Absences
      • Money
        • Employment
        • Undergraduate Research Awards
        • Graduate Student Funding
    • Communication
      • Basecamp
      • Lab Meetings
      • Communication Among Lab Members
      • Communicating with Research Participants
      • Website & Social Media
      • Meetings with Supervisor
      • Response Times
    • Lab Space and Resources
      • Hours of Operation
        • After-Hours Research
      • Safety
    • Intellectual Property
      • Data
      • Authorship
      • Publishing: Where and When
  • Data Management & Analysis
    • Data Science Tools
      • Jupyter
        • JupyterLab
      • Python
      • R
      • How to set up your computer for NCIL data science
    • Servers & Computers
      • Accounts
      • File Server (NCILNAS)
        • Accessing NCILNAS
      • Compute Server
        • Jupyter
        • VS Code - Setup
        • VS Code - Everyday Use
      • GitHub Copilot
    • Data Analysis
      • Behavioural Data
      • EEG Analysis
      • fMRI Analysis
        • Processing fMRI Data with SPM
        • fMRI Analysis in SPM
      • Power analysis with simR in R
    • Data Management
      • Github
      • Open Science
    • Learn Some Coding
  • How To Run Experiments
    • How to Get a Research Study Started
      • Research Ethics
      • Your Research Protocol
        • Components of a Research Protocol
      • Pilot Testing
    • Running a Participant
      • Communicating With Participants
      • Recruiting
      • Before Each Participant Arrives
      • When a Participant is in the Lab
    • Experiment Programming
      • Stimulus Presentation Programs
      • Brain-Computer Interface Programs (BCI)
      • EEG Trigger Codes
        • Lab Streaming Layer
        • Trigger Code Hardware Setup
        • Timing Test
    • Data Storage & Protection
    • Word Similarity Measures
  • Communicating Science
    • Submitting papers to Aaron for review
    • Lab Meeting Talks
    • Independent Study Course
    • Honours Thesis
      • Getting Started
    • Master's Thesis
    • 😓PhD Dissertation
    • PhD Comps
    • Conferences
    • Publications
    • Reviewing Journal Manuscripts
  • Old
    • VS Code on NCIL server
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  1. Data Management & Analysis
  2. Servers & Computers

Compute Server

There are two primary environments for running code on the server: Jupyter and VS Code. Neither one is really better than the other, they're just different interfaces. If you've taken NESC 3505, Neural Data Science, then you will be familiar with the VS Code interface. On the other hand, if you're new to coding and data analysis, Jupyter is more user-friendly for new users. See the description and brief orientation to Jupyter under Data Science Tools.

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