Slides

HTML presentations from courses and talks by the Chapman Research Group.

ATOC 4815/5815: Scientific Programming, Data Analysis and Visualization

Spring 2026

Week 0: Course Introduction - Welcome, syllabus, AI/LLM policy, setup, and getting started
Demo Lecture: Python & Data Analysis - Introduction to course structure and basic Python
Week 1: Python Fundamentals - Variables, types, strings, lists, dictionaries, control flow, loops, and functions
Week 2: Functions and Reusable Code - Advanced functions, error handling, file I/O, and object-oriented programming
Week 3: NumPy and Basic Plotting - NumPy arrays, vectorized operations, matplotlib basics, and data visualization
Week 4: Numerical Integration & Explicit Euler - Solving ODEs with Forward Euler, stability analysis, and Lorenz63
Week 5: Midterm & Post-Test Review - The date, nested loops, and why integration needs a loop
Week 5.5: Linking Python Scripts Together - Modules, imports, if __name__ == "__main__", and multi-file project structure

Week 6: Git for Scientists - 5 commands to survive: clone, status, add, commit, push (practice repo)

Collaboration - Branches, merging, pull requests, and .gitignore

Week 7: Tabular Data & Pandas - Series and DataFrames, time series analysis, resampling, rolling windows, and aggregation
Week 8: Multi-Dimensional Data with xarray - NetCDF files, DataArrays, Datasets, coordinate-based selection, climatologies, and gridded data analysis
Week 9a: Grids & Regridding I - Grid geometry, cell area, nearest-neighbor and bilinear interpolation with xarray, intensive vs. extensive variables
Week 9b: Grids & Regridding II - Conservative remapping, mass conservation, xESMF, and a diagnostic checklist for every regrid
Week 9: Python Parallelization - GIL, vectorization, multiprocessing, concurrent.futures, Dask, and best practices for making code faster
Week 10: Packaging Your Python Code - pyproject.toml, pip install, entry points, TestPyPI, conda-forge, and making your code installable

More slides will be added throughout the semester

Fall 2025

Slides coming soon

2026

POP goes the CAMulator: Coupling an AI Atmosphere to a Dynamic Ocean — CAMulator ↔ POP2 inside CESM2. M2LInES Team Meeting, March 4, 2026.

These slides are created using Quarto with reveal.js. The source files (.qmd) can be found in the course GitHub repositories.