How-To Geek on MSN

Generate realistic test data in Python fast. No dataset required

Learn the NumPy trick for generating synthetic data that actually behaves like real data.
Dot Physics on MSN

Sliding bead on a tilting wire: Python simulation tutorial

Learn how to simulate a sliding bead on a tilting wire using Python! Step-by-step tutorial for physics simulations and numerical methods. 🖥️📐 #PythonPhysics #PhysicsSimulation #SlidingBead #Numerica ...

AI models are starting to crack high-level math problems

“I was curious to establish a baseline for when LLMs are effectively able to solve open math problems compared to where they ...
GitHub

PLAID: ultrafast single-sample gene set enrichment

PLAID (Pathway Level Average Intensity Detection) is an ultrafast method to compute single-sample enrichment scores for gene expression or proteomics data. For each sample, PLAID computes the gene set ...
Daily Excelsior

Machine Learning Methods Used for Portfolio Optimization and Risk Management

Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...
IEEE

Methods and Benchmark for Detecting Cryptographic API Misuses in Python

Abstract: Extensive research has been conducted to explore cryptographic API misuse in Java. However, despite the tremendous popularity of the Python language, uncovering similar issues has not been ...
IEEE

A Highly Fault-Tolerant Distribution Network Fault Diagnosis Method Based on KMP Algorithm and Rough Set

Abstract: Currently, the use of multi-source fault telemetry data in distribution networks is becoming a mainstream method to diagnose faults in distribution networks, but the results are often ...