Dot Physics on MSN

Web-based VPython: Performing a least squares fit

Learn how to perform a least squares fit using Web-Based VPython! 🐍📊 This tutorial walks you step by step through data fitting, plotting, and analyzing results with VPython in a web environment.
IEEE

Sparse Regression Codes for Non-Coherent SIMO Channels

Abstract: Motivated by hyper-reliable low-latency communication in 6G, we consider error control coding for short block lengths in multi-antenna SIMO flat-fading ...
Analytics Insight

How LLMs are Changing the Way Developers Refactor Code

Overview: LLMs help developers identify and fix complex code issues faster by automatically understanding the full project ...
IEEE

Energy-Efficient Multi-Stream Sparse Regression RaptorQ Codes for Unsourced Random Access

Abstract: In the paper, we propose a novel RaptorQ-based unsourced random access (URA) scheme that integrates RaptorQ codes and sparse regression codes (SPARCs) to design access schemes tailored for ...
InfoWorld

PythoC: A new way to generate C code from Python

PythoC lets you use Python as a C code generator, but with more features and flexibility than Cython provides. Here’s a first look at the new C code generator for Python. Python and C share more than ...
Hackaday

Simple Tricks To Make Your Python Code Faster

Python has become one of the most popular programming languages out there, particularly for beginners and those new to the hacker/maker world. Unfortunately, while it’s easy to get something up and ...
GitHub

Regression on multiprocessing’s resource tracker in 3.13

The resource tracker cleanup has a regression in 3.12.10 (was working 3.12.9, @colesbury found; it's possibly related to this PR). This is a simple script to expose the problem. It creates a portion ...
GitHub

Potentially serious regression in garbage collector performance in Python 3.14

[~/regression-testing]$ hyperfine --warmup=10 "cp313/python/bin/python3.13 dicttest.py" "cp314/python/bin/python3.14 dicttest.py" Benchmark 1: cp313/python/bin ...
marktechpost

Can a Small Language Model Predict Kernel Latency, Memory, and Model Accuracy from Code? A New Regression Language Model (RLM) Says Yes

Researchers from Cornell and Google introduce a unified Regression Language Model (RLM) that predicts numeric outcomes directly from code strings—covering GPU kernel latency, program memory usage, and ...
maketecheasier.com

Google Colab Allows You to Write and Run Python Code in Your Browser – Getting Started Guide

Google Colab, also known as Colaboratory, is a free online tool from Google that lets you write and run Python code directly in your browser. It works like Jupyter Notebook but without the hassle of ...
marktechpost

Run MATLAB-Style Code Inside Python by Connecting Octave with the oct2py Library

In this tutorial, we explore how we can seamlessly run MATLAB-style code inside Python by connecting Octave with the oct2py library. We set up the environment on Google Colab, exchange data between ...