techblog2026-03-25
A Summary of Python Class Creation
Python classes are quite complex, so I'm summarizing them for study purposes. Starting with class creation, focusing on __new__ and __init__.
techblog2026-03-25
Visualizing GO Enrichment Results in Python
While R has several libraries that nicely visualize GO Enrichment results, Python does not. This article covers how to create similar plots in Python, from basic bar and dot plots to semantic similarity-based heatmaps, MDS scatter plots, networks, and treemaps.
techblog2026-03-23
Mutation Testing Survey — Comparing Major Tools for Go, Rust, Python, and TypeScript
A comparison of mutation testing tools for Go, Rust, Python, and TypeScript, covering setup, test framework integration, and diff-based optimization techniques for each language.
algorithm2026-03-21
Comparing Standard Sorting Algorithms in Python, JavaScript, Rust, Go, and R
A comparison of sorting algorithms used in the standard libraries of 5 major programming languages. Covers recent major updates including Timsort, Powersort, driftsort, and pdqsort.
techblog2024-10-14
Building CLI Applications with Pydantic-settings
Using pydantic-settings, you can easily create type-safe and maintainable CLI applications.
techblog2022-08-08
Things I Frequently Do in Matplotlib but Always Forget
A personal collection of things I frequently use in Matplotlib but always end up searching for.
techblog2022-08-08
Setting Up SQLAlchemy + mypy + pytest
SQLAlchemy is an excellent ORM, but unlike Django and similar frameworks, you need to set up testing and migrations yourself. This article covers setting up an environment with alembic, pytest, and mypy.
techblog2022-06-12
Plotting Only a Colorbar with matplotlib and Determining the Color for a Given Value
How to create just a colorbar with matplotlib and determine what color a given value corresponds to on that colorbar -- a niche but useful technique.
techblog2022-06-12
Using Beeswarm Plots in Python
Sometimes you want to get an overview of your data without worrying about summary statistics. Beeswarm plots are useful for visualizing data distributions. With seaborn, beeswarm plots can be easily created in Python.
techblog2022-06-12
Exchanging Images via JSON between Python and JavaScript (React)
How to serialize PNG files created with Python (especially matplotlib) into JSON and send them to the frontend.