What a university compute cluster is made of, how to read its hardware specs, where your files live, how to connect with SSH and VS Code, how modules and Slurm work, and the gotchas that trip up newcomers
Notes on spectral and combinatorial theory of the graph Laplacian
A pointer to the Harvard Data Science Review Editor's Column: Xiao-Li Meng's ongoing series of essays on statistical thinking, data science, and AI.
A pointer to the CRAN Bayesian Inference Task View: a curated, regularly updated map of 200+ R packages for Bayesian modeling, MCMC, and convergence diagnostics.
Open-source · github.com/YuZh98/quant-prep-terminal
Everything you need to prepare for a quantitative-finance interview, packed into one HTML file: cheatsheets, flashcards, and a small lab where you can build an option position and watch its payoff in real time. No install, no sign-up — open it and study.
A practical, workflow-oriented Git & GitHub reference — the staging-area mental model, core concepts, everyday commands, branching, rebasing, .gitignore, handling leaked secrets, and resolving merge conflicts.
