Suchergebnisse - (( (stat OR state:ne) python code analysis ) OR ( stated python code analysis ))~
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A python framework for multi-agent simulation of networked resource systems
ISSN: 1364-8152, 1873-6726Veröffentlicht: Oxford Elsevier Ltd 01.05.2018Veröffentlicht in Environmental modelling & software : with environment data news (01.05.2018)“… This common interface acts as an agreed mode of communication for all contributors. We propose the Python Network Simulation (Pynsim …”
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MagPySV: A Python Package for Processing and Denoising Geomagnetic Observatory Data
ISSN: 1525-2027, 1525-2027Veröffentlicht: Washington John Wiley & Sons, Inc 01.09.2018Veröffentlicht in Geochemistry, geophysics, geosystems : G3 (01.09.2018)“… ). However, current data processing methods rely on piecemeal closed‐source codes or are performed on an ad hoc basis, hampering efforts to reproduce data sets underlying published results …”
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The CoLoMoTo Interactive Notebook: Accessible and Reproducible Computational Analyses for Qualitative Biological Networks
ISSN: 1664-042X, 1664-042XVeröffentlicht: Switzerland Frontiers 19.06.2018Veröffentlicht in Frontiers in physiology (19.06.2018)“… The accessibility and reproducibility of such workflows is challenging, as publications often overlook analysis details, and because some of these tools may be difficult to install, and/or have a steep learning curve …”
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Confidence of a k-Nearest Neighbors Python Algorithm for the 3D Visualization of Sedimentary Porous Media
ISSN: 2077-1312, 2077-1312Veröffentlicht: Basel MDPI 2023Veröffentlicht in Journal of marine science and engineering (2023)“… ) algorithm and Python libraries to create two 3D interactive models of the stratigraphic architecture of the Quaternary onshore Llobregat River Delta (NE Spain …”
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Applications of Python in Solving Physical Chemistry Problems
ISSN: 0971-8044, 0973-712XVeröffentlicht: Dordrecht Springer Nature B.V 01.01.2026Veröffentlicht in Resonance (01.01.2026)“… This article, presented in two parts, aims to serve as an introduction to the fundamentals of Python programming and data analysis in the context of physical chemistry experiments …”
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bmotif: A package for motif analyses of bipartite networks
ISSN: 2041-210X, 2041-210XVeröffentlicht: London John Wiley & Sons, Inc 01.05.2019Veröffentlicht in Methods in ecology and evolution (01.05.2019)“… Bipartite networks are widely used to represent a diverse range of species interactions, such as pollination, herbivory, parasitism and seed dispersal. The …”
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Applications of Python in Solving Physical Chemistry Problems: Part 1
ISSN: 0973-712X, 0973-712XVeröffentlicht: New Delhi Springer India 01.12.2025Veröffentlicht in Resonance (01.12.2025)“… This article, presented in two parts, aims to serve as an introduction to the fundamentals of Python programming and data analysis in the context of physical chemistry experiments. In this part (Part …”
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Development of a New Thermal-Hydraulic Module for FRENETIC, a Code for the Multiphysics Analysis of Liquid Metal–Cooled Reactors
ISSN: 0029-5450, 1943-7471Veröffentlicht: La Grange Park American Nuclear Society 03.10.2025Veröffentlicht in Nuclear technology (03.10.2025)“… This code facilitates steady-state and transient neutronic (NE) and TH coupled calculations while maintaining low computational costs through simplified physical models …”
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NuRadioMC: simulating the radio emission of neutrinos from interaction to detector
ISSN: 1434-6044, 1434-6052Veröffentlicht: Berlin/Heidelberg Springer Berlin Heidelberg 31.01.2020Veröffentlicht in The European physical journal. C, Particles and fields (31.01.2020)“… NuRadioMC is designed as a modern, modular Python-based framework, combining flexibility in detector design with user-friendliness …”
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REGALS : a general method to deconvolve X-ray scattering data from evolving mixtures
ISSN: 2052-2525, 2052-2525Veröffentlicht: England International Union of Crystallography 01.03.2021Veröffentlicht in IUCrJ (01.03.2021)“… Mixtures of biological macromolecules are inherently difficult to study using structural methods, as increasing complexity presents new challenges for data analysis …”
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Machine Learning-Enabled Quantitative Analysis of Optically Obscure Scratches on Nickel-Plated Additively Manufactured Samples
ISSN: 1996-1944, 1996-1944Veröffentlicht: Basel MDPI AG 01.09.2023Veröffentlicht in Materials (01.09.2023)“… Additively manufactured metal components often have rough and uneven surfaces, necessitating post-processing and surface polishing. Hardness is a critical …”
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Unmixing of Magnetic Hysteresis Loops Through a Modified Gamma‐Cauchy Exponential Model
ISSN: 1525-2027, 1525-2027Veröffentlicht: Washington John Wiley & Sons, Inc 01.08.2023Veröffentlicht in Geochemistry, geophysics, geosystems : G3 (01.08.2023)“… Quantifying the contributions of distinct mineral populations in bulk magnetic experiments greatly enhances the analysis of environmental and rock magnetism studies …”
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pyMeSHSim: an integrative python package for biomedical named entity recognition, normalization and comparison
ISSN: 2692-8205Veröffentlicht: Cold Spring Harbor Laboratory 15.03.2019Veröffentlicht in bioRxiv (15.03.2019)“… ) annotations of the disease phenotypes. Furthermore, semantic similarity comparison between two bio-NE annotations, like disease descriptions, has become important for data integration or system genetics analysis …”
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PyEMILI: A New Generation Computer-aided Spectral Line Identifier
ISSN: 0067-0049, 1538-4365Veröffentlicht: Saskatoon The American Astronomical Society 01.03.2025Veröffentlicht in The Astrophysical journal. Supplement series (01.03.2025)“… Using Python , we have developed a line-identification code PyEMILI, which is a significant improvement over the Fortran -based package EMILI introduced ∼20 yr ago …”
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Source Code Plagiarism Detection in an Educational Context: A Literature Mapping
ISSN: 2377-634XVeröffentlicht: IEEE 13.10.2021Veröffentlicht in Proceedings - Frontiers in Education Conference (13.10.2021)“… Detection of plagiarism in students' source codes in college-level programming courses is an important topic for instructors and institutions that seek to pursue project-based learning while enforcing …”
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Dashboard Design to Analyze Chemical Weathering of Clastic Sediments
ISSN: 0016-7622, 0974-6889Veröffentlicht: New Delhi Geological Society of India 01.06.2023Veröffentlicht in Journal of the Geological Society of India (01.06.2023)“… For a provenance study and characterization of different types of sedimentological processes that affect weathering, information on chemical weathering of …”
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AshCalc–a new tool for the comparison of the exponential, power-law and Weibull models of tephra deposition
ISSN: 2191-5040, 2191-5040Veröffentlicht: Berlin/Heidelberg Springer Berlin Heidelberg 01.12.2014Veröffentlicht in Journal of applied volcanology (01.12.2014)“… : the exponential model, the power law model and the Weibull model. AshCalc provides a simple and intuitive tool to speed up the analysis of tephra deposits and compare and contrast the fits for each model …”
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A method to evaluate the degree of bleaching of IRSL signals in feldspar: The 3ET method
ISSN: 1871-1014, 1878-0350Veröffentlicht: Elsevier B.V 01.08.2022Veröffentlicht in Quaternary geochronology (01.08.2022)“… In addition to dating, IRSL luminescence signals can preserve information about erosional, transport, and depositional histories of a population of grains …”
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ArcFVDSL, a DSEL Combined to HARTS, a Runtime System Layer to Implement Efficient Numerical Methods to Solve Diffusive Problems on New Heterogeneous Hardware Architecture
ISSN: 1294-4475, 1953-8189, 2804-7699Veröffentlicht: Paris EDP Sciences 01.03.2017Veröffentlicht in Oil & gas science and technology (01.03.2017)“… Generative programming and Domain Specific Languages (DSL) are key technologies allowing to write code with a high level expressive language and take advantage of the efficiency of generated code with low level services …”
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Feature and functional form selection in additive models via mixed-integer optimization
ISSN: 0305-0548Veröffentlicht: Elsevier Ltd 01.04.2025Veröffentlicht in Computers & operations research (01.04.2025)“… Feature selection is a recurrent research topic in modern regression analysis, which strives to build interpretable models, using sparsity as a proxy, without sacrificing predictive power …”
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