Suchergebnisse - (( dynamic code analysis of python programs ) OR ( dynamic code analysis of python process ))~

  1. 1

    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 von V.V. Samarov

    ISSN: 2307-4205
    Veröffentlicht: 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
  2. 2

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

    ISSN: 1553-7358, 1553-734X, 1553-7358
    Veröffentlicht: United States Public Library of Science 28.01.2021
    Veröffentlicht 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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  3. 3

    Tensorpac: An open-source Python toolbox for tensor-based phase-amplitude coupling measurement in electrophysiological brain signals von 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
    Veröffentlicht: United States Public Library of Science 29.10.2020
    Veröffentlicht in PLoS computational biology (29.10.2020)
    “… In particular, there is accumulating evidence that phase-amplitude coupling (PAC), a specific form of cross-frequency interaction, plays a key role in numerous cognitive processes …”
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  4. 4

    Percolation theory using Python von Malthe-Sørenssen, Anders

    ISBN: 3031598997, 9783031598999, 3031599004, 9783031599002
    Veröffentlicht: Cham Springer 2024
    “… The book's structure ensures a complete exploration of worked examples, encompassing theory, modeling, implementation, analysis, and the resulting connections between theory and analysis …”
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    E-Book Buch
  5. 5

    CRYSTALpytools: A Python infrastructure for the Crystal code von Camino, Bruno, Zhou, Huanyu, Ascrizzi, Eleonora, Boccuni, Alberto, Bodo, Filippo, Cossard, Alessandro, Mitoli, Davide, Ferrari, Anna Maria, Erba, Alessandro, Harrison, Nicholas M.

    ISSN: 0010-4655, 1879-2944
    Veröffentlicht: Elsevier B.V 01.11.2023
    Veröffentlicht in Computer physics communications (01.11.2023)
    “… CRYSTALpytools is an open source Python project available on GitHub that implements a user-friendly interface to the Crystal code for quantum-mechanical condensed matter simulations …”
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  6. 6

    PyCDFT: A Python package for constrained density functional theory von Ma, He, Wang, Wennie, Kim, Siyoung, Cheng, Man‐Hin, Govoni, Marco, Galli, Giulia

    ISSN: 0192-8651, 1096-987X, 1096-987X
    Veröffentlicht: Hoboken, USA John Wiley & Sons, Inc 30.07.2020
    Veröffentlicht in Journal of computational chemistry (30.07.2020)
    “… ‐principles molecular dynamics code, Qbox, and we benchmark its accuracy by computing the electronic coupling between diabatic states for a set of organic molecules …”
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  7. 7

    A Python-based stochastic library for assessing geothermal power potential using the volumetric method in a liquid-dominated reservoir von Pocasangre, Carlos, Fujimitsu, Yasuhiro

    ISSN: 0375-6505, 1879-3576
    Veröffentlicht: Oxford Elsevier Ltd 01.11.2018
    Veröffentlicht in Geothermics (01.11.2018)
    “… •A Python-based stochastic library is presented for assessing geothermal potential …”
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  8. 8

    Verification of a Python-based TRANsport Simulation Environment for density-driven fluid flow and coupled transport of heat and chemical species von Kempka, Thomas

    ISSN: 1680-7359, 1680-7340, 1680-7359
    Veröffentlicht: Katlenburg-Lindau Copernicus GmbH 14.10.2020
    Veröffentlicht in Advances in geosciences (14.10.2020)
    “… Numerical simulation has become an inevitable tool for improving the understanding on coupled processes in the geological subsurface and its utilisation …”
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    Constructing and analysing dynamic models with modelbase v1.2.3: a software update von van Aalst, Marvin, Ebenhöh, Oliver, Matuszyńska, Anna

    ISSN: 1471-2105, 1471-2105
    Veröffentlicht: London BioMed Central 20.04.2021
    Veröffentlicht in BMC bioinformatics (20.04.2021)
    “… Background Computational mathematical models of biological and biomedical systems have been successfully applied to advance our understanding of various regulatory processes, metabolic fluxes, effects …”
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  10. 10

    Glycosylator: a Python framework for the rapid modeling of glycans von Lemmin, Thomas, Soto, Cinque

    ISSN: 1471-2105, 1471-2105
    Veröffentlicht: London BioMed Central 22.10.2019
    Veröffentlicht in BMC bioinformatics (22.10.2019)
    “… Most software for glycan modeling on a personal desktop computer requires knowledge of molecular dynamics to interface with specialized programs such as CHARMM or AMBER …”
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    Journal Article
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    SuperflexPy 1.3.0: an open-source Python framework for building, testing, and improving conceptual hydrological models von Dal Molin, Marco, Kavetski, Dmitri, Fenicia, Fabrizio

    ISSN: 1991-9603, 1991-959X, 1991-962X, 1991-9603, 1991-962X
    Veröffentlicht: Katlenburg-Lindau Copernicus GmbH 19.11.2021
    Veröffentlicht in Geoscientific Model Development (19.11.2021)
    “… Catchment-scale hydrological models are widely used to represent and improve our understanding of hydrological processes and to support operational water resource management …”
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    GraphPyRec: A novel graph-based approach for fine-grained Python code recommendation von Zong, Xing, Zheng, Shang, Zou, Haitao, Yu, Hualong, Gao, Shang

    ISSN: 0167-6423
    Veröffentlicht: Elsevier B.V 01.12.2024
    Veröffentlicht in Science of computer programming (01.12.2024)
    “… Significant progress has been made in code recommendation for static languages in recent years, but it remains challenging for dynamic languages like Python as accurately determining data flows …”
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  13. 13

    PyCSP: A Python package for the analysis and simplification of chemically reacting systems based on Computational Singular Perturbation von Malpica Galassi, Riccardo

    ISSN: 0010-4655, 1879-2944
    Veröffentlicht: Elsevier B.V 01.07.2022
    Veröffentlicht in Computer physics communications (01.07.2022)
    “… PyCSP is a Python package for the analysis and simplification of chemically reacting systems, using algorithms based on the Computational Singular Perturbation (CSP) theory …”
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    Python scripting libraries for subsurface fluid and heat flow simulations with TOUGH2 and SHEMAT von Florian Wellmann, J., Croucher, Adrian, Regenauer-Lieb, Klaus

    ISSN: 0098-3004, 1873-7803
    Veröffentlicht: Elsevier Ltd 01.06.2012
    Veröffentlicht in Computers & geosciences (01.06.2012)
    “… For many problems the entire modeling process including grid generation, model setup, execution, post-processing and analysis of results can be carried out from a single Python script …”
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    escript-RT: Reactive transport simulation in Python using escript von Poulet, T., Gross, L., Georgiev, D., Cleverley, J.

    ISSN: 0098-3004, 1873-7803
    Veröffentlicht: Elsevier Ltd 01.08.2012
    Veröffentlicht in Computers & geosciences (01.08.2012)
    “… We present escript-RT, a new reactive transport simulation code for fully saturated porous media which is based on a finite element method (FEM …”
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    A Python tool for parameter estimation of “black box” macro- and micro-kinetic models with Bayesian optimization – petBOA von Kasiraju, Sashank, Wang, Yifan, Bhandari, Saurabh, Singh, Aayush R., Vlachos, Dionisios G.

    ISSN: 0010-4655
    Veröffentlicht: Netherlands Elsevier B.V 01.01.2025
    Veröffentlicht in Computer physics communications (01.01.2025)
    “… We develop an open-source Python-based Parameter Estimation Tool utilizing Bayesian Optimization (petBOA …”
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  17. 17

    GenEvaPa: A generic evaporation package for modeling evaporation in molecular dynamics simulations von Harris, Bradley, Liu, Gang-yu, Faller, Roland

    ISSN: 0010-4655, 1879-2944
    Veröffentlicht: United States Elsevier B.V 01.01.2023
    Veröffentlicht in Computer physics communications (01.01.2023)
    “… This work presents a novel general tool for modeling the process of evaporation without the need for modifying existing software using Python …”
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    Journal Article
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    Derivatives analytics with Python : data analysis, models, simulation, calibration and hedging von Hilpisch, Yves J.

    ISBN: 1119037999, 9781119037996, 9781119038009, 1119038006
    Veröffentlicht: Chichester Wiley 2015
    “… Supercharge options analytics and hedging using the power of Python Derivatives Analytics with Python shows you how to implement market-consistent valuation and hedging approaches using advanced …”
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    E-Book Buch
  19. 19

    Cantera-Based Python Computer Program for Solving Steam Power Cycles with Superheating von Marzouk, Osama A

    ISSN: 2331-8422
    Veröffentlicht: Ithaca Cornell University Library, arXiv.org 27.01.2024
    Veröffentlicht in arXiv.org (27.01.2024)
    “… These remarks establish a motivation for the current study. This article documents a computer code written in the Python programming language …”
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    Paper
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    KMCLib: A general framework for lattice kinetic Monte Carlo (KMC) simulations von Leetmaa, Mikael, Skorodumova, Natalia V.

    ISSN: 0010-4655, 1879-2944, 1879-2944
    Veröffentlicht: Elsevier B.V 01.09.2014
    Veröffentlicht in Computer physics communications (01.09.2014)
    “… The plugin modules are loosely coupled to the core KMCLib program via the Python scripting language …”
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    Journal Article