Kate's Data Science Home Lab
A focused command center for coursework, notebooks, code, analytics, APIs, and machine-learning experiments. Persistent work lives in /workspace.
JupyterLab
Notebooks, files, terminals, Python/R kernels, and course work.
Code Workspace
Browser IDE for C/C++, Java, Python, Git, terminals, and remote builds.
Analytics App
Streamlit workspace for notebooks-to-dashboard experiments and class projects.
API Lab
FastAPI workspace with interactive docs for services, models, and utilities.
MLflow Tracking
Experiment runs, metrics, parameters, artifacts, and model comparisons.
Lab flow
- Learn
Use JupyterLab for assignments, notes, datasets, and reproducible analysis.
- Build
Use Code Workspace for C/C++, Java, Python, Git, terminals, and project files.
- Analyze
Use the Analytics App for polished charts, lightweight reports, and interactive results.
- Serve
Use API Lab for model endpoints, utility services, and generated API documentation.
- Track
Use MLflow to compare experiments and preserve model artifacts in /workspace/mlruns.