All pages
From Stat DS Computing Wiki
- ACCESS
- AI Agents: A Primer
- Access PSC compute nodes directly from VSCode
- Agentic Workflow via GitHub Issues
- Amphetamine
- Article Catalog
- Attach a disk to a virtual machine
- Azure getting started
- Bash files
- Basic Linux Commands
- Beginner's Guide to Computation in Statistical Research
- Beyond Print Statements: Breakpoint Debugging
- Big Data Management
- Building Workflows on Remote Servers
- Bulding your website with Hugo
- ChatGPT
- ChatGPT and other LLMs
- Chat gpt
- Choosing and Installing a Programming Language
- Chrome Remote Desktop
- Command Line Basics
- Command Line Data Transfer
- Computing office hour usage
- Computing seminar resources
- Conda with Python (Reference Only)
- Creating Libraries and Packages
- Department GPU Servers
- Department Printers
- Department Servers
- Department Tools and Services
- Departmentservers
- Dependency Management
- Developing R packages
- Developing python packages
- Directory of Computing Resources for Statistical Research
- Docker, and why-you-should-use-it-for-your-research
- Docker Sandboxes for AI Agents
- End-to-end AI Scientist Trials (Methods/Applied Research)
- GPU Cluster
- Generic Wiki Information
- GitHub Copilot
- Git and GitHub
- Github copilot
- Globus
- How to host your webpage under stat.cmu.edu
- How to obtain a virtual machine with a GPU
- Index.php?title=BasicLinuxCommands
- Installing and Configuring an Integrated Development Environment
- Introduction to containers
- Jaketestpage
- Jekyll
- Jumping to frequently used folders and automating environment setups
- Jupyter Notebooks
- Linux and department servers
- Local PC Backup
- Main Page
- Main Page/SLURMDemo
- Main Page new
- Main Page old
- Mamba
- Miscellaneous Services
- Monitoring with Grafana
- Open OnDemand
- Open OnDemand Wright
- Other Helpful Resources for Implementation
- Other Helpful Resources for Statistical Computing
- Overleaf
- Overleaf GitHub Integration
- Overleaf Git Integration
- PSC
- Parallel computing
- Parallelization: Making the most of your Machine
- Parallelization in python
- Parallelization in r
- Parallelization on PSC/Bridges-2
- Password Reset
- Python on the server
- Python virtual enviornments
- Python virtual environments
- R on the server
- Renv
- Reproducibility
- Research Computing Dos and Don'ts
- Resources for Learning to Program
- Running Docker locally and on Hydras
- SLURM Demo
- Scratch Storage
- Service now
- Setting up a local coding agent
- Slurm
- Slurm Demo
- TODO
- Terminal automation
- Terminal multiplexers
- Testgraph
- Tutorials
- VSCode
- VS Code Remote
- Version Control
- Virtual Environment Introduction
- What resources when
- Windows Subsystem for Linux (WSL) and Python
- Wright GPU Cluster
