So yeah, I vibe-coded a log colorizer—and I feel good about it

Oh, sure, I can “code.” That is, I can flail my way through a block of (relatively simple) pseudocode and follow the flow. I ...
IEEE

Bayesian Neural Networks via MCMC: A Python-Based Tutorial

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
Dot Physics on MSN

How to visualize electric fields of parallel plates in Python

Learn how to visualize electric fields of parallel plates using Python. This step-by-step tutorial shows how to simulate field lines and understand electric field patterns—perfect for students, ...
Dot Physics on MSN

Python tutorial: Creating contour plots with NumPy meshgrid

Learn how to create contour plots in Python using NumPy’s meshgrid and Matplotlib. This step-by-step tutorial shows you how to generate grids, compute functions over them, and visualize data ...

Most RAG systems don’t understand sophisticated documents — they shred them

Standard RAG pipelines treat documents as flat strings of text. They use "fixed-size chunking" (cutting a document every 500 ...
IEEE

A Comparative Analysis of Machine Learning Based Power Flow Study with Custom Made Open Source Python Codes

Abstract: Power flow analysis is a cornerstone of power system planning and operation, involving the solution of nonlinear equations to determine the steady-state operating conditions of the power ...
GitHub

DCF: Discounted Cash Flow

I've worked to create this Python library as part of an effort to familiarize myself with calculating discounted cash flows working directly with a company's financial statements. 📈 📉 I have found ...