Search Results - dynamic code analysis of python (programs OR progress)

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  1. 1

    MASSpy: Building, simulating, and visualizing dynamic biological models in Python using mass action kinetics by Haiman, Zachary B., Zielinski, Daniel C., Koike, Yuko, Yurkovich, James T., Palsson, Bernhard O.

    ISSN: 1553-7358, 1553-734X, 1553-7358
    Published: United States Public Library of Science 28.01.2021
    Published in PLoS computational biology (28.01.2021)
    “… MASSpy adds dynamic modeling tools to the COnstraint-Based Reconstruction and Analysis Python (COBRApy…”
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    Journal Article
  2. 2

    Introduction to Python Dynamic Diffraction Toolkit ( PyDDT ): structural refinement of single crystals via X-ray phase measurements by Penacchio, Rafaela F. S., Estradiote, Maurício B., Remédios, Cláudio M. R., Calligaris, Guilherme A., Torikachvili, Milton S., Kycia, Stefan W., Morelhão, Sérgio L.

    ISSN: 1600-5767, 0021-8898, 1600-5767
    Published: Oxford Blackwell Publishing Ltd 01.10.2023
    Published in Journal of applied crystallography (01.10.2023)
    “…PyDDT is a free Python package of computer codes for exploiting X-ray dynamic multiple diffraction in single crystals…”
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    Journal Article
  3. 3
  4. 4

    Generative Type Inference for Python by Peng, Yun, Wang, Chaozheng, Wang, Wenxuan, Gao, Cuiyun, Lyu, Michael R.

    ISSN: 2643-1572
    Published: IEEE 11.09.2023
    “… However, its dynamic type system can lead to potential type errors, leading researchers to explore automatic type inference approaches for Python programs…”
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    Conference Proceeding
  5. 5

    i-PI: A Python interface for ab initio path integral molecular dynamics simulations by Ceriotti, Michele, More, Joshua, Manolopoulos, David E.

    ISSN: 0010-4655, 1879-2944
    Published: Elsevier B.V 01.03.2014
    Published in Computer physics communications (01.03.2014)
    “… Here we describe i-PI, an interface written in Python that has been designed to minimise the effort required to bring state-of-the-art path integral techniques to an electronic structure program…”
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    Journal Article
  6. 6

    SIMA: Python software for analysis of dynamic fluorescence imaging data by Kaifosh, Patrick, Zaremba, Jeffrey D., Danielson, Nathan B., Losonczy, Attila

    ISSN: 1662-5196, 1662-5196
    Published: Switzerland Frontiers Research Foundation 23.09.2014
    Published in Frontiers in neuroinformatics (23.09.2014)
    “… However, analysis of dynamic fluorescence imaging data remains burdensome, in part due to the shortage of available software tools…”
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    Journal Article
  7. 7

    Dynamic Generation of Python Bindings for HPC Kernels by Zhu, Steven, AlAwar, Nader, Erez, Mattan, Gligoric, Milos

    ISSN: 2643-1572
    Published: IEEE 01.11.2021
    “… A recent trend among scientists-prototyping applications in dynamic languages such as Python-created a gap between the applications and existing HPKs…”
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    Conference Proceeding
  8. 8

    Domain Knowledge Matters: Improving Prompts with Fix Templates for Repairing Python Type Errors by Peng, Yun, Gao, Shuzheng, Gao, Cuiyun, Huo, Yintong, Lyu, Michael R.

    ISSN: 1558-1225
    Published: ACM 14.04.2024
    “… Although the dynamic type system of Python facilitates the developers in writing Python programs, it also brings type errors at runtime which are prevalent yet not easy to fix…”
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    Conference Proceeding
  9. 9

    DefAP: A Python code for the analysis of point defects in crystalline solids by Neilson, William D., Murphy, Samuel T.

    ISSN: 0927-0256, 1879-0801
    Published: Elsevier B.V 01.07.2022
    Published in Computational materials science (01.07.2022)
    “… into a material’s defect chemistry, it is essential to link the energies calculated to thermodynamic variables that fully describe its operating conditions…”
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    Journal Article
  10. 10

    ACPYPE - AnteChamber PYthon Parser interfacE by Sousa da Silva, Alan W, Vranken, Wim F

    ISSN: 1756-0500, 1756-0500
    Published: London BioMed Central 23.07.2012
    Published in BMC research notes (23.07.2012)
    “… topologies and parameters for a variety of molecular dynamics programmes like GROMACS, CHARMM and CNS…”
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    Journal Article
  11. 11

    TESTING THE DYNAMIC EXECUTION OF PYTHON PROGRAM CODE DURING THE CERTIFICATION TESTING (DEVELOPMENT) STAGE IN THE CERTIFICATION SYSTEM OF THE MINISTRY OF DEFENSE OF RUSSIA by V.V. Samarov

    ISSN: 2307-4205
    Published: Penza State University Publishing House 01.06.2023
    “… When checking applications developed in the Python language for compliance of their code with the requirements of the governing document "Protection against unauthorized access to information. Part 1…”
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    Journal Article
  12. 12

    mdciao: Accessible Analysis and Visualization of Molecular Dynamics Simulation Data by Pérez-Hernández, Guillermo, Hildebrand, Peter W.

    ISSN: 1553-7358, 1553-734X, 1553-7358
    Published: United States Public Library of Science 21.04.2025
    Published in PLoS computational biology (21.04.2025)
    “…) for easy, one-shot analysis and representation of molecular dynamics (MD) simulation data. Building upon the widely used concept of residue-residue contact-frequencies…”
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    Journal Article
  13. 13

    pyIAST: Ideal adsorbed solution theory (IAST) Python package by Simon, Cory M., Smit, Berend, Haranczyk, Maciej

    ISSN: 0010-4655, 1879-2944
    Published: Netherlands Elsevier B.V 01.03.2016
    Published in Computer physics communications (01.03.2016)
    “…Ideal adsorbed solution theory (IAST) is a widely-used thermodynamic framework to readily predict mixed-gas adsorption isotherms from a set of pure-component adsorption isotherms…”
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    Journal Article
  14. 14

    Visual dynamics: a WEB application for molecular dynamics simulation using GROMACS by Vieira, Ivo Henrique Provensi, Botelho, Eduardo Buganemi, de Souza Gomes, Thales Junior, Kist, Roger, Caceres, Rafael Andrade, Zanchi, Fernando Berton

    ISSN: 1471-2105, 1471-2105
    Published: London BioMed Central 22.03.2023
    Published in BMC bioinformatics (22.03.2023)
    “…Background The molecular dynamics is an approach to obtain kinetic and thermodynamic characteristics of biomolecular structures…”
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    Journal Article
  15. 15

    Tensorpac: An open-source Python toolbox for tensor-based phase-amplitude coupling measurement in electrophysiological brain signals by Combrisson, Etienne, Nest, Timothy, Brovelli, Andrea, Ince, Robin A. A., Soto, Juan L. P., Guillot, Aymeric, Jerbi, Karim

    ISSN: 1553-7358, 1553-734X, 1553-7358
    Published: United States Public Library of Science 29.10.2020
    Published in PLoS computational biology (29.10.2020)
    “… Current research in the field is not only hampered by the absence of a gold standard for PAC analysis, but also by the computational costs of running exhaustive computations on large and high…”
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    Journal Article
  16. 16

    Detecting Memory Errors in Python Native Code by Tracking Object Lifecycle with Reference Count by Ma, Xutong, Yan, Jiwei, Zhang, Hao, Yan, Jun, Zhang, Jian

    ISSN: 2643-1572
    Published: IEEE 11.09.2023
    “…Third-party Python modules are usually implemented as binary extensions by using native code (C/C++…”
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    Conference Proceeding
  17. 17

    PyISOLVER-A Fast Python OOP Implementation of LRDFIT Model by Yang, Fanghao, Menard, Jonathan E.

    ISSN: 0093-3813, 1939-9375
    Published: New York IEEE 01.06.2020
    Published in IEEE transactions on plasma science (01.06.2020)
    “… on the commercial software license. In this article, the original procedural program was ported from its commercial platform to an open-source Python platform and refactored into the object…”
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    Journal Article
  18. 18

    PyAnalyzer: An Effective and Practical Approach for Dependency Extraction from Python Code by Jin, Wuxia, Xu, Shuo, Chen, Dawei, He, Jiajun, Zhong, Dinghong, Fan, Ming, Chen, Hongxu, Zhang, Huijia, Liu, Ting

    ISSN: 1558-1225
    Published: ACM 14.04.2024
    “… However, dynamic language features in Python make code behaviors obscure and nondeter-ministic…”
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    Conference Proceeding
  19. 19

    PyCG: Practical Call Graph Generation in Python by Salis, Vitalis, Sotiropoulos, Thodoris, Louridas, Panos, Spinellis, Diomidis, Mitropoulos, Dimitris

    ISBN: 1665402962, 9781665402965
    ISSN: 1558-1225
    Published: IEEE 01.05.2021
    “… We propose a pragmatic, static approach for call graph generation in Python. We compute all assignment relations between program identifiers of functions, variables, classes, and modules through an inter-procedural analysis…”
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    Conference Proceeding
  20. 20

    WEDAP: A Python Package for Streamlined Plotting of Molecular Simulation Data by Yang, Darian T, Chong, Lillian T

    ISSN: 1549-960X, 1549-960X
    Published: United States 12.08.2024
    “… Here, we present the WEDAP Python package for simplifying the analysis of data generated from either conventional MD simulations or the weighted ensemble…”
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    Journal Article