Software Resources¶
This page lists software tools, packages, and resources used in the lab.
Core Software¶
Python Packages¶
| Package | Version | Purpose | Installation |
|---|---|---|---|
| numpy | >=1.20.0 | Numerical computing | pip install numpy |
| pandas | >=1.3.0 | Data manipulation | pip install pandas |
| matplotlib | >=3.4.0 | Visualization | pip install matplotlib |
| scipy | >=1.7.0 | Scientific computing | pip install scipy |
R Packages¶
| Package | Version | Purpose | Installation |
|---|---|---|---|
| tidyverse | Latest | Data science | install.packages("tidyverse") |
| ggplot2 | Latest | Visualization | install.packages("ggplot2") |
Specialized Tools¶
[Tool Name 1]¶
Description: [Description of the tool]
Installation:
Documentation: [Link to documentation]
Usage Example:
[Tool Name 2]¶
Description: [Description of the tool]
Installation:
Documentation: [Link to documentation]
Lab-Specific Scripts¶
[Script Name]¶
Purpose: [What the script does]
Location: [Where to find it]
Usage:
Computing Resources¶
High-Performance Computing¶
- Cluster: [Cluster name/access info]
- Documentation: [Link to HPC docs]
- Access: [How to get access]
Cloud Resources¶
- Platform: [Cloud platform]
- Access: [Access information]
Getting Help¶
- Check package documentation
- Ask in lab meetings
- Contact: [Contact information]
Contributing¶
To add software to this list, update this file and submit a pull request.