Dot Physics on MSN

Lesson 14: Python simulation of elastic collisions and springs

In Python Physics Lesson 14, we explore the simulation of elastic collisions and springs! Learn how to model collisions, spring dynamics, and energy transfer using Python, with step-by-step coding and ...
InfoQ

Are You Missing a Data Frame? The Power of Data Frames in Java

Vladimir Zakharov explains how DataFrames serve as a vital tool for data-oriented programming in the Java ecosystem. By ...
How-To Geek on MSN

How to use the REPT function in Excel to create text-based progress bars

Build stable, high-performance dashboards using REPT formulas and UNICHAR symbols instead of conditional formatting.
Yahoo

Andrew pulled strings so Epstein could use RAF bases for private jet

Add Yahoo as a preferred source to see more of our stories on Google. Jeffrey Epstein in front of his private plane. A newly released email shows Epstein admitting that Andrew arranged for the ...
GitHub

This is a simple example of how to deploy an Azure Function using ZipDeploy. This is a very simple way to deploy an Azure Function without having to use a full CI/CD pipeline.

To learn more about how the template was done refer to the blog post on How to Deploy a .NET isolated Azure Function using Zip Deploy in One-Click on frankysnotes.com. There is also a video on YouTube ...
IEEE

Efficient Distributed MPC Using Kautz Functions for Load Frequency Control in Multi-Area Power Systems With Communication Delays

Abstract: The rapid increase in renewable energy deployments and its integration into power grids bring challenges in balancing supply and demand, leading to frequency deviations. Consequently, ...
NorthJersey.com

These Paterson students use bows and strings to tune out annoyances

PATERSON — Standing in a semicircle around their conductor, six cellists and 12 violinists slowly plucked their way through the seven chords of a D major musical practice scale. They were all novices ...
IEEE

Influence-Balanced XGBoost: Improving XGBoost for Imbalanced Data Using Influence Functions

Abstract: Decision tree boosting algorithms, such as XGBoost, have demonstrated superior predictive performance on tabular data for supervised learning compared to neural networks. However, recent ...