Data Science
Posts about Data Science
Python JIT: practical notes from production
The experimental copy-and-patch JIT landed in CPython 3.13 behind the –enable-experimental-jit build flag, and by 3.14 it is stable enough to enable on.
Marimo vs Jupyter Notebook: Which Python Environment is Best?
I just spent three hours debugging a machine learning pipeline, only to realize I had executed cell 14 before cell 12.
I Dropped Pandas for Polars. Here’s What Broke.
It was 11 PM on a Thursday last month. My data pipeline running on a t3.xlarge AWS instance crashed for the fourth time that week. The culprit?
Mastering Gil Removal: Advanced Techniques and Best Practices for Modern Developers
Introduction to Gil Removal In today’s rapidly evolving technological landscape, GIL removal has emerged as a critical skill for developers seeking to.
Simulating Quantum Decision Models in Pure Python (No QPU Required)
I spent most of last week arguing with a vendor who insisted we needed cloud QPU access to run our new multi-agent decision matrix.
Poetry is Dead to Me: Why I Switched to uv
Actually, I should clarify – I held on for as long as I could. Really, I did. I was the guy in the team chat defending Poetry 1 back in 2023.
Numpyro: Probabilistic Programming That Doesn’t Waste My Time
I remember the bad old days of probabilistic programming. You’d define a hierarchical model, hit “sample,” and then—I’m not joking—go watch an entire.
Taipy: Why I Finally Ditched Streamlit for Production Apps
Well, I have a confession to make. For the last five years, I’ve been utterly hooked on “script-to-web” tools.
PyScript in 2026: Why I Finally Stopped Hating Client-Side Python
Actually, I should clarify – I remember sitting in the audience at PyCon 2022 when PyScript was first announced.
Stop Rewriting Your Pandas Code for Spark. Seriously.
I looked at my terminal yesterday and saw the one error message that has haunted my entire career in data engineering.