a quick guide to os fork in python
A tutorial on process-level parallelism using os.fork() directly — useful for understanding what higher-level libraries like multiprocessing are abstracting.
College
Projects, writeups, and notes from school and self-study.
Code
Libraries, Style, and ProjectsWriteups from tutorials, meetup talks, and projects I wanted to document — mostly Python, some D3.
an introduction to plotting in python
An introduction to matplotlib using NumPy arrays; covers line plots, histograms, and scatter plots with a MATLAB-familiar syntax.
an introduction to pythons types
Part 1 of a typing series — a tour of Python's built-in type system: primitives, collections, and iterables — as a foundation for the type hinting articles that follow.
integrating sms with twilio
A 2017 walkthrough of sending SMS via the Twilio Python SDK; the API surface has since changed but the integration pattern (credentials, client setup, message dispatch) is still representative.
python type hinting
Covers Python 3.5+ optional type hints and static analysis with mypy — the mechanics of adding hints without enforcing them at runtime.
reusable charting with d3
A pattern for building reusable, configurable chart components in D3 using ES6 classes, written around a 2018 Boulder D3 Meetup talk.
the good the bad and the ugly of tuple unpacking
Best practices for handling multiple return values in Python — where tuple unpacking helps readability and where it becomes a liability.
the python typing module
Deeper into Python's typing module — Union, Callable, TypeVar, and type aliases for annotating more complex function signatures.
Data
Analytics, Science, and ModelingMost of my data work is closed-source. These are the projects that were either open-source from the start or that I was able to share later.
airbnb visualization in D3
An interactive D3.js map of Boston AirBnB listings using GeoJSON; the interesting part is the Python pipeline that converts raw listing data to geospatial format.
digging into my discord using data analysis
Regex-based analysis of 200,000+ messages from a Discord server — frequency patterns, activity windows, and communication graphs.
viral networks — khan academy interview project
Implements graph-based infection spreading (total and limited strategies) plus a Markov chain analysis of the network, from a 2017 interview project.
interpolating 3d
Uses scipy's griddata and kriging to interpolate 3D glacier coordinate datasets — a practical comparison of interpolation methods in three dimensions.
fuzzy document retrieval using high performance latent semantic analysis
High-performance latent semantic analysis for fuzzy document retrieval — SVD on term-document matrices with a Python interface for querying by semantic similarity.
twitter civil unrest analysis with apache spark
A 2015 prototype using Apache Spark's streaming API to analyze civil unrest signals in real-time Twitter data; the functional pipeline patterns hold up better than the specific APIs.
solving political boundaries through simulation
Applies simulated annealing and genetic algorithms to redistricting — framing fair district boundary selection as a computational geometry optimization problem.
Math
Notes & HomeworkMost of these started as class notes, projects, or homework that I cleaned up into something more readable.
building fractals by hand
Generates the Mandelbrot set by iterating complex numbers and visualizing convergence boundaries — a clean Python implementation with matplotlib.
the algorithms behind interpolation & splines
Implements and compares 1D interpolation methods from scratch — linear, Lagrangian, Newton's divided differences, and cubic splines.
numerical analysis of vector fields
Phase portraits, nullclines, and stability analysis for nonlinear systems — numerical exploration of how vector fields behave near fixed points.
chaotic dynamics and strange attractors
Homework assignments from a chaotic dynamics course covering strange attractors, bifurcation diagrams, and sensitivity to initial conditions.
numerical analysis of one dimensional maps
Studies the logistic map and other iterative 1D systems to explore period-doubling and chaos; uses Cython to speed up the orbital calculations.
ordinary differential equation solving with 4th-order Runge-Kutta
Implements 4th-order Runge-Kutta from scratch and applies it to several differential equations — method derivation alongside the code.
the algorithms behind numerical rootfinding
Implements and compares bisection, secant, fixed-point iteration, and Newton's method for finding function roots numerically.
Class Notes
During college I found it especially effective to write my notes by hand and then transcribe to LaTeX as a study method.
Speaking
Talks & PresentationsI've spoken at academic conferences, local meetups, and professional events over the years.
SIAM 2016
Using ML to flag poor-quality lab photographs at scale — research from my undergrad position, presented at SIAM 2016.
SIAM 2017
A massively parallel simulation of soliton gas dynamics in 1D systems — the computational methods work from my applied math research assistant role, presented at SIAM 2017.
Chaos and Collatz
An exploration of the Collatz Conjecture through the lens of chaos theory — built for a college course, but an excuse to think about how simple iterative rules produce complex behavior.
Simulated Annealing
The redistricting-via-simulated-annealing project adapted into a Boulder Python talk — computational geometry for a general audience.
Reusable D3 Charting
The Boulder D3 Meetup talk behind the reusable charting writeup — building configurable chart components with ES6 classes.
AirB&B Data Analysis
Expanded the Boston AirBnB interview project into a full talk — analysis pipeline, key findings, and visualization approach.
AirB&B Data Visualization
The interactive D3 map that went with the talk above — Boston AirBnB listings rendered geospatially.