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Showing 181 - 200 results of 747 for search '(( python modular implementation ) OR ( ((python tool) OR (python code)) presented ))', query time: 0.29s Refine Results
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    DataSheet_1_AirSeaFluxCode: Open-source software for calculating turbulent air-sea fluxes from meteorological parameters.pdf by Stavroula Biri (14571707)

    Published 2023
    “…This means that empirical “bulk formulae” parameterizations that relate direct flux observations to concurrent measurements of the mean meteorological and sea surface variables contain considerable uncertainty. In this paper, we present a Python 3.6 (or higher) open-source software package “AirSeaFluxCode” for the computation of the heat (latent and sensible) and momentum fluxes. …”
  6. 186

    Code interpreter with LLM. by Jin Lu (428513)

    Published 2025
    “…<div><p>This paper presents a novel approach to enhancing educational question-answering (Q&A) systems by combining Retrieval-Augmented Generation (RAG) with Large Language Model (LLM) Code Interpreters. …”
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    Presentation1_pyHeart4Fish: Chamber-specific heart phenotype quantification of zebrafish in high-content screens.PPTX by Viviana L. Vedder (15205438)

    Published 2023
    “…Taken together, our study presents a novel open-access tool for heart analysis and new data on potentially cardiotoxic compounds.…”
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    FibrilGen: A Python Package for Atomistic Modeling of Peptide β‑Sheet Nanostructures by Chao-Yu Yang (847201)

    Published 2025
    “…For <i>de novo</i> peptide-based nanomaterials that rely on the rational design of the peptide primary sequence, a systematic approach to computationally model the diverse and complex potential nanostructures formed by self-assembling peptides would be of considerable value. Here, we present FibrilGen, a bespoke Python package capable of building a broad range of cross-β morphologies at the atomic level. …”
  12. 192

    FibrilGen: A Python Package for Atomistic Modeling of Peptide β‑Sheet Nanostructures by Chao-Yu Yang (847201)

    Published 2025
    “…For <i>de novo</i> peptide-based nanomaterials that rely on the rational design of the peptide primary sequence, a systematic approach to computationally model the diverse and complex potential nanostructures formed by self-assembling peptides would be of considerable value. Here, we present FibrilGen, a bespoke Python package capable of building a broad range of cross-β morphologies at the atomic level. …”
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