🧰 Module Overview

:gutter: 3

:::{grid-item-card} 🌑 Module 1: Global Climate Change :columns: 6

πŸ–Ί Mann et al (1998)
πŸ›  Concepts: Tabular data, git
Communication: declarative visualization, jupyter notebooks

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:::{grid-item-card} 🐟 Module 2: Global Fisheries Collapse :columns: 6

πŸ–Ί Worm et al (2006)
πŸ›  Concepts: Relational databases
πŸ“ˆ Communication: Myst, pdf/LaTeX, html outputs

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:::{grid-item-card} πŸ›° Module 3: Environmental Justice :columns: 6

πŸ–Ί Schell et al (2020)
πŸ›  Concepts: Geospatial data structures + analysis
πŸ“ˆ Communication: Geospatial visualziation

+++ spatial template

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:::{grid-item-card} πŸ€– Module 4: Language Models and Decision support tools? :columns: 6

πŸ–Ί TBD
πŸ›  LLMs, RAG,
πŸ“ˆ streamlit, reactive design

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πŸ“… Weekly Plan

Hold on tight and don’t put too much faith in this.

Week Module Topics Reading links
week 1 🌑 GitHub, JupyterHub {πŸ“–
week 2 🌑 viz: seaborn {πŸ“–
week 3 🌑 data: pandas / ibis {πŸ“–
week 4 🌑 Collab, PRs, CI {πŸ“–
week 5 🐟 Module intro {πŸ“–
week 6 🐟 RDBs, joins {πŸ“–
week 7 🐟 discovery {πŸ“–
week 8 πŸ›° spatial data types {πŸ“–
week 9 πŸ›° spatial data viz {πŸ“–
week 10 πŸ›° spatial data analysis {πŸ“–
week 11 πŸ›° putting it together {πŸ“–
week 12 πŸ€– LLMs {πŸ“–
week 13 πŸ€– LLMs+RAG? {πŸ“–
week 14 πŸ€– streamlit {πŸ“–
week 15 πŸŽ“ Final Projects {πŸ“–