How-To Geek on MSN

How to Use pandas DataFrames in Python to Analyze and Manipulate Data

pandas is a Python module that's popular in data science and data analysis. It's offers a way to organize data into DataFrames and offers lots of operations you can perform on this data. It was ...
Linux Journal

Python 3.13.5 Patch Release Packed with Fixes & Stability Boosts

Python 3.13.5 lands as a timely, focused maintenance release. It patches critical regression bugs from 3.13.4, carries ...
Hosted on MSN

How to Validate Your Data With Statistical Tests in Python

Statistical testing in Python offers a way to make sure your data is meaningful. It only takes a second to validate your data ...
IEEE

An Interval–Probabilistic CVaR (IP-CVaR) and Modelling for Unknown Probability Distribution of Some Random Variables

Abstract: Traditionally, the uncertainty qualification is utilized with the known probability distribution function (PDF). However, in some scenarios, the PDFs of some uncertain variables are modeled ...
GitHub

Python codes for performing life cycle assessment (LCA) scenario analyses, sensitivity analyses, and Monte Carlo analyses, using systems of equations and variable input parameters

Parametric LCA aims to maintain the relationships between different parameters along the life cycle of a system or product, modeling the system with variables and equations that depict these ...
GitHub

Random123: a Library of Counter-Based Random Number Generators

The Random123 library is a collection of counter-based random number generators ( "CBRNGs") for CPUs (C and C++) and GPUs (CUDA and OpenCL), as described in Parallel Random Numbers: As Easy as 1, 2, 3 ...