4 New Techniques to Maximize Claude Code
Get the most out of Claude Code with these four techniques The post 4 New Techniques to Maximize Claude Code appeared first on Towards Data Science.
Author: Eleazar
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Sequential Fitting: A Different Perspective on the Spectral Bias of Neural Networks
What Fourier analysis misses The post Sequential Fitting: A Different Perspective on the Spectral Bias of Neural Networks appeared first on Towards Data Science.
The Polynomial That Fixed 30 Years of Cloth Simulation
The clipping bug has lived in every 3D simulation pipeline for three decades. Here is exactly why it happens, how the math breaks, and how swapping one equation fixes it; as well as the python code to see it for yourself! The post The Polynomial That Fixed 30 Years of Cloth Simulation appeared first on…
Building a Multi-Agent System in Python
An introduction to multi-agent systems The post Building a Multi-Agent System in Python appeared first on Towards Data Science.
We Should Train AI to Betray Its Users
Because the alternative is much too dangerous The post We Should Train AI to Betray Its Users appeared first on Towards Data Science.
Picking an Experimentation Platform: A Retrospective
My approach to guiding the choice between Eppo and Statsig, and the lessons learned The post Picking an Experimentation Platform: A Retrospective appeared first on Towards Data Science.
My SciPy ODE Solver Was Killing My Bayesian Inference: A Cosmologist’s Honest Account of Discovering Diffrax
what it costs, what it gains and the three mistakes that I make The post My SciPy ODE Solver Was Killing My Bayesian Inference: A Cosmologist’s Honest Account of Discovering Diffrax appeared first on Towards Data Science.
Who Will Win the 2026 Soccer World Cup?
Building a forecast from Elo, Poisson, and 10,000 simulations The post Who Will Win the 2026 Soccer World Cup? appeared first on Towards Data Science.
My AI Couldn’t See My Files — I Built a Zero-Dependency MCP Server
I got tired of copying files into an AI chat just to get feedback. So I built a pure Python MCP server that gives AI tools direct access to my local project—no frameworks, no dependencies. It runs over stdio for local use and switches to HTTP/SSE for concurrent clients with a single flag. The result:…
The Fundamental Choice in Reinforcement Learning: On‑Policy vs. Off‑Policy
How a simple choice shapes exploration, safety, and efficiency The post The Fundamental Choice in Reinforcement Learning: On‑Policy vs. Off‑Policy appeared first on Towards Data Science.