I write about design patterns, trends, and project managment strategies for data science projects.

Lessons from Rust 2: Stronger Typing

Tips for integrating Rust's strong typing system into your Python code.

Oct 24, 2023

Lessons from Rust 1: Enums for Errors and Missing Data

The Option and Result enum types from Rust can be useful design patterns for working with missing data and propagating errors.

Sep 27, 2023

Patterns for data collection types

Patterns for creating useful collections of data objects: filtering, grouping, aggregation, mutation, parallelization, and plotting.

Aug 31, 2023

Patterns and Antipatterns for Dataclasses

Tips for building clean data objects using the dataclasses module.

Aug 25, 2023

Are data frames too flexible?

Custom types VS data frames: choosing the right data structures for your project.

Aug 23, 2023

Using Slot Classes in DocTable Schemas

Allowing for defaulted parameters in slot classes using decorators so they can be used as doctable schemas.

Jun 15, 2021

Using SQLite to store and manage large Python objects

My solution in doctable and some basic benchmark results.

Jun 8, 2021

Reflections on creating text analysis workshops

Learning these methods is about developing your own design patterns and learning the most fundamental approaches.

Dec 3, 2019

New repo for cleaned NSS documents

I created some python code to download US National Security Strategy documents from github for your text analysis examples.

Dec 3, 2019

UCSB Instructional Development Grant

We received an instructional development grant to help sociology students learn computational methods.

Apr 11, 2019

Topic Modeling for Undergraduate Sociology Students

Thoughts from a pilot program to teach Sociology undergraduates how to use topic modeling.

Dec 30, 2017

Theory, Method, and Reproducibility in Text Analysis

I respond to critiques of computational methods for hermeneutic analysis.

Dec 29, 2017