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  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 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
  2. 2

    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
  3. 3

    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)
    “… 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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    Journal Article
  4. 4

    CRYSTALpytools: A Python infrastructure for the Crystal code by 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
    Published: Elsevier B.V 01.11.2023
    Published 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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    Journal Article
  5. 5

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

    ISSN: 0192-8651, 1096-987X, 1096-987X
    Published: Hoboken, USA John Wiley & Sons, Inc 30.07.2020
    Published 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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    Journal Article
  6. 6

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

    ISSN: 0375-6505, 1879-3576
    Published: Oxford Elsevier Ltd 01.11.2018
    Published in Geothermics (01.11.2018)
    “…•A Python-based stochastic library is presented for assessing geothermal potential…”
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    Journal Article
  7. 7

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

    ISSN: 1680-7359, 1680-7340, 1680-7359
    Published: Katlenburg-Lindau Copernicus GmbH 14.10.2020
    Published 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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    Journal Article
  8. 8

    Constructing and analysing dynamic models with modelbase v1.2.3: a software update by van Aalst, Marvin, Ebenhöh, Oliver, Matuszyńska, Anna

    ISSN: 1471-2105, 1471-2105
    Published: London BioMed Central 20.04.2021
    Published 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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    Journal Article
  9. 9

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

    ISSN: 1471-2105, 1471-2105
    Published: London BioMed Central 22.10.2019
    Published 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
  10. 10

    SuperflexPy 1.3.0: an open-source Python framework for building, testing, and improving conceptual hydrological models by Dal Molin, Marco, Kavetski, Dmitri, Fenicia, Fabrizio

    ISSN: 1991-9603, 1991-959X, 1991-962X, 1991-9603, 1991-962X
    Published: Katlenburg-Lindau Copernicus GmbH 19.11.2021
    Published 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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    Journal Article
  11. 11

    GraphPyRec: A novel graph-based approach for fine-grained Python code recommendation by Zong, Xing, Zheng, Shang, Zou, Haitao, Yu, Hualong, Gao, Shang

    ISSN: 0167-6423
    Published: Elsevier B.V 01.12.2024
    Published 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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    Journal Article
  12. 12

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

    ISSN: 0010-4655, 1879-2944
    Published: Elsevier B.V 01.07.2022
    Published 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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    Journal Article
  13. 13

    Python scripting libraries for subsurface fluid and heat flow simulations with TOUGH2 and SHEMAT by Florian Wellmann, J., Croucher, Adrian, Regenauer-Lieb, Klaus

    ISSN: 0098-3004, 1873-7803
    Published: Elsevier Ltd 01.06.2012
    Published 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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  14. 14

    escript-RT: Reactive transport simulation in Python using escript by Poulet, T., Gross, L., Georgiev, D., Cleverley, J.

    ISSN: 0098-3004, 1873-7803
    Published: Elsevier Ltd 01.08.2012
    Published 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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    Journal Article
  15. 15

    A Python tool for parameter estimation of “black box” macro- and micro-kinetic models with Bayesian optimization – petBOA by Kasiraju, Sashank, Wang, Yifan, Bhandari, Saurabh, Singh, Aayush R., Vlachos, Dionisios G.

    ISSN: 0010-4655
    Published: Netherlands Elsevier B.V 01.01.2025
    Published 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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    Journal Article
  16. 16

    Percolation theory using Python by Malthe-Sørenssen, Anders

    ISBN: 3031598997, 9783031598999, 3031599004, 9783031599002
    Published: 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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    eBook Book
  17. 17

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

    ISSN: 0010-4655, 1879-2944
    Published: United States Elsevier B.V 01.01.2023
    Published 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
  18. 18

    Derivatives analytics with Python : data analysis, models, simulation, calibration and hedging by Hilpisch, Yves J.

    ISBN: 1119037999, 9781119037996, 9781119038009, 1119038006
    Published: 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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    eBook Book
  19. 19

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

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 27.01.2024
    Published 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
  20. 20

    KMCLib: A general framework for lattice kinetic Monte Carlo (KMC) simulations by Leetmaa, Mikael, Skorodumova, Natalia V.

    ISSN: 0010-4655, 1879-2944, 1879-2944
    Published: Elsevier B.V 01.09.2014
    Published 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