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Mastering least squares fit and graphing in Python

Want to master data fitting in Python? 📊🐍 In this video, we’ll walk you through using the least squares method to fit data and graph it using Python. Perfect for data science and stats enthusiasts!
Analytics Insight

Best Python Tools and Frameworks for Data Science in 2026

Overview: Python supports every stage of data science from raw data to deployed systemsLibraries like NumPy and Pandas simplify data handling and analysisPython ...
GitHub

SPARQL endpoint for RDFLib

rdflib-endpoint is a SPARQL endpoint based on RDFLib to easily serve RDF files locally, machine learning models, or any other logic implemented in Python via custom SPARQL functions. It aims to enable ...
GitHub

Stack-Graphs Python bindings

Opinionated Python bindings for the tree-sitter-stack-graphs rust library. It exposes a minimal, opinionated API to leverage the stack-graphs library for reference resolution in source code. The rust ...
IEEE

A Multi-Graph Attention Spatial-Temporal Graph Convolutional Network (MGA-STGCN) for AHP Risk Forecasting

Abstract: We propose a Multi-graph Attention spatial-temporal graph convolutional network (MGA-STGCN) for AHP risk forecasting. To describe the temporal and spatial features of the area, we use ...
IEEE

A Python-based Pipeline for Processing and Plotting Automatisation of Nanoindentation Data: Plotting with GraphPad Prism software

Abstract: In this paper a Python based pipeline encompassing steps necessary for automatic processing and plotting nanoindentation data is presented. It enables to process and plot big amount of ...