February 2026
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.
I Turned on the Python 3.14 JIT in Production (Well, Staging). Here’s the Truth.
Well, I have to admit, I was a bit skeptical about this whole Python JIT thing at first. In my experience, “free performance” usually comes …
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.
TF 2.18 & Keras: Real-World Performance Review
I finally bit the bullet last week. After ignoring the notification icons for two months, I upgraded our main training pipeline to TensorFlow 2.18.
Why I Finally Switched to Hatch for Python Builds
Actually, I should clarify — I’ve spent the last decade fighting with Python packaging. I’ve written setup.py files that looked like spaghetti code.
Python Quantum: It’s Messy, But It Works
Actually, I remember sitting in that lecture hall back in 2018. The physicist’s talk about quantum computers ” breaking encryption ” and “solving climate.
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.
RNNs Aren’t Dead: Liquid Networks in Keras 3
I distinctly remember the funeral we all held for Recurrent Neural Networks around 2019. The Transformer architecture had just walked into the room, eaten.
LlamaCloud’s Multimodal RAG: Finally, No More Glue Code
Well, that’s not entirely accurate — I’ve actually been playing around with LlamaCloud for a while now. You know the drill.