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Thematische Bibliographien / Python scripting

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Zeitschriftenartikel
Dissertationen
Bücher
Buchteile
Konferenzberichte
Berichte der Organisationen

Auswahl der wissenschaftlichen Literatur zum Thema „Python scripting“

Autor: Grafiati

Veröffentlicht am 25. Juni 2021

Zuletzt aktualisiert am 29. Juli 2025

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Zeitschriftenartikel zum Thema "Python scripting"

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Hinsen, Konrad. "Parallel Scripting with Python." Computing in Science & Engineering 9, no. 6 (2007): 82–89. http://dx.doi.org/10.1109/mcse.2007.117.

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Talluri Durvasulu, Mohan Babu. "Advanced Python Scripting for Storage Automation." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 9, no. 1 (2018): 643–52. https://doi.org/10.61841/turcomat.v9i1.14986.

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Storage automation is critical for managing the vast amounts of data generated in modern computing environments. Advanced Python scripting offers robust solutions for automating storage tasks, enhancing efficiency, scalability, and reliability. This research explores the utilization of Python's versatile libraries and frameworks to develop automated storage systems. We present a comprehensive methodology encompassing system architecture design, data collection and preprocessing, feature engineering, algorithm selection, and model deployment. The study emphasizes the integration of Python scrip

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Jasim, Oday, Khalid Hasoon, and Noor Sadiqe. "Mapping LCLU Using Python Scripting." Engineering and Technology Journal 37, no. 4A (2019): 140–47. http://dx.doi.org/10.30684/etj.37.4a.5.

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Preeti, Tupsakhare. "Python for Automation and Scripting: Streamlining Operations and Increasing Efficiency." Journal of Scientific and Engineering Research 6, no. 9 (2019): 222–27. https://doi.org/10.5281/zenodo.13918609.

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In today's rapidly evolving technological landscape, Python has emerged as a pivotal tool for automation and scripting, streamlining operations and significantly increasing efficiency across various industries. This white paper delves into the numerous advantages of Python, highlighting its accessibility, simplicity, and the powerful ecosystem of libraries that support a wide range of automation tasks. From automating mundane data entry tasks to orchestrating complex network operations, Python's versatility makes it an indispensable tool for developers and non-developers alike. We will explore

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Bakker, Mark. "Python Scripting: The Return to Programming." Groundwater 52, no. 6 (2014): 821–22. http://dx.doi.org/10.1111/gwat.12269.

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Dixon, Adam P. "Review of GIS Tutorial for Python Scripting." Cartographic Perspectives, no. 80 (August 18, 2015): 51–52. http://dx.doi.org/10.14714/cp80.1306.

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Ayer, Vidya M., Sheila Miguez, and Brian H. Toby. "Why scientists should learn to program in Python." Powder Diffraction 29, S2 (2014): S48—S64. http://dx.doi.org/10.1017/s0885715614000931.

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The importance of software continues to grow for all areas of scientific research, no less for powder diffraction. Knowing how to program a computer is a basic and useful skill for scientists. This paper explains the three approaches for programming languages and why scripting languages are preferred for non-expert programmers. The Python-scripting language is extremely efficient for science and its use by scientists is growing. Python is also one of the easiest languages to learn. The language is introduced, as well as a few of the many add-on packages available that extend its capabilities,

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Peta, Saphalya. "Python- An Appetite for the Software Industry." International Journal of Programming Languages and Applications 12, no. 4 (2022): 1–14. http://dx.doi.org/10.5121/ijpla.2022.12401.

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Python is a scripting language that's high- positioned, interpreted, interactive, and object- oriented. Python is intended to be a veritably accessible programming language. It generally uses English terms rather than punctuation, and it has smaller syntactical structures than other languages. Python is a must-have skill for scholars and working professionals who want to become exceptional software masterminds, especially if they work in the web development field. It's a freshman-friendly scripting language. Some of the crucial features of Python programming language are- It supports OOP as we

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Bakker, M., V. Post, C. D. Langevin, et al. "Scripting MODFLOW Model Development Using Python and FloPy." Groundwater 54, no. 5 (2016): 733–39. http://dx.doi.org/10.1111/gwat.12413.

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Murfitt, M. F., C. E. Meyer, G. Skone, N. Dellby, and O. L. Krivanek. "Open-Source Python Scripting and Analysis with Nion Swift." Microscopy and Microanalysis 19, S2 (2013): 782–83. http://dx.doi.org/10.1017/s1431927613005904.

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Dissertationen zum Thema "Python scripting"

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Tett, Stuart Tosten. "A scripting interface for doubly linked face list based polygonal meshes." [College Station, Tex. : Texas A&M University, 2007. http://hdl.handle.net/1969.1/ETD-TAMU-2121.

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Dogantimur, Erkan. "A method to generate modern city buildings with the aid of Python-scripting." Thesis, University of Gävle, Ämnesavdelningen för datavetenskap, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-4660.

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<p>It takes time to model buildings in a 3D city environment, for example in a game. Time is usually something very constricted in a production stage of anything, whether it is a personal project at home, at school or more occurring; in the 3D industry. This report will bring forth a method to quickly generate detailed buildings with the help of Python scripting, integrated in Maya 2009. The script will be working with modules that will be assembled together to create a modern city type of building. A comparison will be made between this script and a couple other scripts that offer the same so

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Yost, Morgan. "An Iteration on the Horizon Simulation Framework to Include .NET and Python Scripting." DigitalCommons@CalPoly, 2016. https://digitalcommons.calpoly.edu/theses/1607.

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Modeling and Simulation is a crucial element of the aerospace engineering design pro- cess because it allows designers to thoroughly test their solution before investing in the resources to create it. The Horizon Simulation Framework (HSF) v3.0 is an aerospace modeling and simulation tool that allows the user to verify system level requirements in the early phases of the design process. A low fidelity model of the system that is created by the user is exhaustively tested within the built-in Day-in-the-Life simulator to provide useful information in the form of failed requirements, system bottl

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Sacca, Flavio. "Server-side scripting: confronto fra PHP, Python e server-side JS integrato in NodeJs." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2016. http://amslaurea.unibo.it/10302/.

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Lo scopo della tesi è quello di descrivere e mettere a confronto tre diversi linguaggi, e quindi approcci, alla programmazione server-side e di back-end, ovvero il linguaggio PHP, il linguaggio Python ed il linguaggio Javascript, utilizzato però per una programmazione “Server Side”, e quindi associato al framework NodeJS. Questo confronto si pone l’obiettivo di sottolineare le differenti caratteristiche di ogni linguaggio, gli scopi a cui esso maggiormente si addice e di fornire una sorta di guida per far in modo che si possa comprendere al meglio quale dei tre linguaggi maggiormente usati

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Wang, Lingyun. "Qualitative Analysis of the Usability of Three Contemporary Scripting Languages: Perl, Python and Tcl." [Johnson City, Tenn. : East Tennessee State University], 2001. http://etd-submit.etsu.edu/etd/theses/available/etd-0712101-083723/restricted/Wang7242001.pdf.

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DiCesare, David A. "Automated Identification and Mapping of ODOT Candidate Culverts for Cleaning Operations Using Python Scripting in ArcGIS." University of Akron / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=akron1428329508.

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Svensson, Patrik, and Fredrik Galfi. "Performance evaluation of NumPy, SciPy, PyMEL and OpenMaya compared to the C++ API in Autodesk Maya." Thesis, Blekinge Tekniska Högskola, Institutionen för datavetenskap, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-21664.

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Background. Autodesk Maya allows scripting through both MEL and Python, and it is also possible to use different Python modules and a C++ API to perform the desired tasks. In theory, the C++ API is the fastest option in Maya, but there are no studies that support this claim. Other studies show that PyMEL is the slowest module in Maya to work with, but it is still the one used most frequently. This thesis has therefore made a speed measurement to determine which of the four selected Python modules and the C++ API is the fastest to use, regarding animation transfer between skeletal hierarchies w

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Vecchi, Claudio. "Scripting automation e modelli bayesiani: Applicazioni cliniche in radioterapia e sviluppo di tecniche innovative per adaptive radiation therapy." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2014. http://amslaurea.unibo.it/6623/.

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La presente ricerca consiste nel validare ed automatizzare metodiche di Adaptive Radiation Therapy (ART), che hanno come obiettivo la personalizzazione continua del piano di trattamento radioterapico in base alle variazioni anatomiche e dosimetriche del paziente. Tali variazioni (casuali e/o sistematiche) sono identificabili mediante l’utilizzo dell’imaging diagnostico. Il lavoro svolto presso la struttura di Fisica Medica dell’Azienda Ospedaliera Universitaria del Policlinico di Modena, si inserisce in un progetto del Ministero della Salute del bando Giovani Ricercatori dal titolo: “Dose wa

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Mahjoub, Musaab. "FE modeling of glulam beams with mechanical slotted-in steel plate connections." Thesis, Linnéuniversitetet, Institutionen för byggteknik (BY), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-105430.

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The mechanical behavior of timber beams with a slotted-in steel plate is studied by creating anumerical model that can simulate the global bending behavior and the load carrying capacity aswell as the nonlinear plastic fastener force distribution. Experimental results from Material TestingInstitute (MPA), University of Stuttgart were compared with simulation results done at LinnaeusUniversity. The modeling of the timber beams and the mechanical connections is performed withshell, beam, and nonlinear connector elements. Three models were created, where the first modelwas a single-dowel double s

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Baco, Gerond. "Uplift Behaviour of Screw Piles for Offshore Deepwater Wind Turbine Foundations." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2017.

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The two main types of foundations used so far for offshore wind energy applications are the conventional solution, the so-called mono-piles and the less conventional suction caissons. In the case of the monopiles cyclic loading is identified as the main issue to be considered, and for suction caissons, a quite large number of design issues are present, but prevalent on the others, is the tension capacity. The idea to extend screw piles to offshore applications is becoming nowadays actual. This type of foundation has a quite large onshore application but not offshore so far. They have excellen

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Bücher zum Thema "Python scripting"

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Lupiani, Isabel. Blender Scripting with Python. Apress, 2025. https://doi.org/10.1007/979-8-8688-1127-2.

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Langtangen, Hans Petter. Python Scripting for Computational Science. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-05450-5.

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Langtangen, Hans Petter, ed. Python Scripting for Computational Science. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-73916-6.

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Kak, Avinash C. Scripting with objects: A comparative presentation of scripting with Perl and Python. John Wiley & Sons, 2008.

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J, Enbody Richard, ed. The practice of computing using Python. 2nd ed. Prentice Hall, 2012.

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Martelli, Alex. Python in a nutshell. O'Reilly, 2003.

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Martelli, Alex. Python in a nutshell. O'Reilly, 2002.

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Litvin, Maria. Mathematics for the digital age and programming in Python. 2nd ed. Skylight Pub., 2010.

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Puri, Gautam. Python scripts for Abaqus: Learn by example. s.n.], 2011.

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Ferguson, Paula, and Laura Lewin, eds. Python In a Nutshell: A Desktop Quick Reference. O'Reilly, 2003.

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Buchteile zum Thema "Python scripting"

1

Ferrill, Paul. "Python Scripting Utilities." In Pro Android Python with SL4A. Apress, 2011. http://dx.doi.org/10.1007/978-1-4302-3570-5_7.

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Kinser, Jason M. "Scripting in Python." In Image Operators. CRC Press, 2018. http://dx.doi.org/10.1201/9780429451188-3.

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Hart, William E., Carl D. Laird, Jean-Paul Watson, et al. "Scripting." In Pyomo — Optimization Modeling in Python. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-58821-6_14.

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Ferrill, Paul. "Background Scripting with Python." In Pro Android Python with SL4A. Apress, 2011. http://dx.doi.org/10.1007/978-1-4302-3570-5_6.

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Dalmaijer, Edwin S., Rebecca J. Hirst, and Jonathan W. Peirce. "Scripting an Experiment." In Python for Experimental Psychologists, 2nd ed. Routledge, 2024. http://dx.doi.org/10.4324/9781003174332-7.

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Bynum, Michael L., Gabriel A. Hackebeil, William E. Hart, et al. "Scripting Custom Workflows." In Pyomo — Optimization Modeling in Python. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-68928-5_5.

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Hosmer, Chet. "PowerShell Scripting Targeting Investigation." In PowerShell and Python Together. Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-4504-0_3.

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Langtangen, Hans Petter. "Getting Started with Python Scripting." In Texts in Computational Science and Engineering. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-05450-5_2.

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Hart, William E., Carl Laird, Jean-Paul Watson, and David L. Woodruff. "Scripting and Algorithm Development." In Pyomo – Optimization Modeling in Python. Springer US, 2012. http://dx.doi.org/10.1007/978-1-4614-3226-5_10.

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Lupiani, Isabel. "Getting Started on Blender Scripting." In Blender Scripting with Python. Apress, 2025. https://doi.org/10.1007/979-8-8688-1127-2_1.

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Konferenzberichte zum Thema "Python scripting"

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Ninkovic, Branislav, and Jasmin Music. "Automatic Convergence in WIPL-D Software Using Python Scripting Algorithms." In 2024 11th International Conference on Electrical, Electronic and Computing Engineering (IcETRAN). IEEE, 2024. http://dx.doi.org/10.1109/icetran62308.2024.10645133.

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Avera, Michael, Hao Kang, and Rajneesh Singh. "Comprehensive Rotorcraft Analysis for Preliminary Design and Optimization." In Vertical Flight Society 71st Annual Forum & Technology Display. The Vertical Flight Society, 2015. http://dx.doi.org/10.4050/f-0071-2015-10121.

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A numerical study is conducted to utilize comprehensive rotorcraft analysis code to advanced rotor technologies such as Individual Blade Control for vehicle performance and sizing tasks common to preliminary design methods. A code wrapper was developed for Advanced Rotorcraft Technology Inc's RCAS code with NASA Glenn's open source OpenMDAO, a MDAO tool written in python scripting language. Two cases are presented to demonstrate the utility of the RCAS wrapper. The first case utilizes the RCAS wrapper to run multiple concurrent RCAS trim analyses on a UH-60A rotor for an array of advance ratio

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Martin, Joe, and Amanda H. Schmidt. "TEACHING PYTHON SCRIPTING THROUGH ARCGIS." In Joint 52nd Northeastern Annual Section and 51st North-Central Annual GSA Section Meeting - 2017. Geological Society of America, 2017. http://dx.doi.org/10.1130/abs/2017ne-291544.

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Calleja, A. C. "Scripting a large Fortran code with Python." In "Software Engineering for High Performance Computing System (HPCS) Applications" W3S Workshop - 26th International Conference on Software Engineering. IEE, 2004. http://dx.doi.org/10.1049/ic:20040419.

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Zolnierczuk, Piotr A., and Richard E. Riedel. "Neutron-scattering data acquisition and experiment automation with Python." In Python in Science Conference. SciPy, 2009. http://dx.doi.org/10.25080/mnpk7710.

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PyDas is a set of Python modules that are used to integrate various components of the Data Acquisition System at Spallation Neutron Source (SNS). PyDas enables customized automation of neutron scattering experiments in a rapid and flexible manner. It provides wxPython-based GUIs for routine experiments as well as IPython command line scripting environment. Matplotlib and NumPy are used for data presentation and simple analysis. PyDas is currently used on a number of SNS instruments and plans exist to deploy it on new ones as they come on-line.

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McNamara, Ann. "An Introduction to Python Scripting in Autodesk Maya." In SIGGRAPH '21: Special Interest Group on Computer Graphics and Interactive Techniques Conference. ACM, 2021. http://dx.doi.org/10.1145/3450549.3464409.

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Kukuev, Ivan Yu, Ilya O. Starodumov, Evgeniy V. Pavlyuk, and Sergey I. Osipov. "Analysis of MPFC dynamics using ParaView Python scripting." In 28TH RUSSIAN CONFERENCE ON MATHEMATICAL MODELLING IN NATURAL SCIENCES. AIP Publishing, 2020. http://dx.doi.org/10.1063/5.0003424.

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McNamara, Ann. "Automating Animation using Python Scripting in Autodesk Maya." In SA '23: SIGGRAPH Asia 2023. ACM, 2023. http://dx.doi.org/10.1145/3610538.3614645.

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McNamara, Ann. "Using Python scripting to enhance workflow in Autodesk Maya." In SA '21: SIGGRAPH Asia 2021. ACM, 2021. http://dx.doi.org/10.1145/3476117.3483437.

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Okunishi, E., D. Maekawa, M. Nishikawa, O. Hirahara, and I. Ishikawa. "Extension of TEM/STEM Function by using Python®† scripting." In 13th Asia Pacific Microscopy Congress 2025. ScienceOpen, 2025. https://doi.org/10.14293/apmc13-2025-0021.

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Berichte der Organisationen zum Thema "Python scripting"

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Zhu, Minjie, and Michael Scott. Fluid-Structure Interaction and Python-Scripting Capabilities in OpenSees. Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA, 2019. http://dx.doi.org/10.55461/vdix3057.

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Building upon recent advances in OpenSees, the goals of this project are to expand the framework’s Python scripting capabilities and to further develop its fluid–structure interaction (FSI) simulation capabilities, which are based on the particle finite-element method (PFEM). At its inception, the FSI modules in OpenSees were based on Python scripting. To accomplish FSI simulations in OpenSees, Python commands have been added for a limited number of pre-existing element and material commands, e.g., linear-elastic triangle elements and beam–column elements with Concrete01/Steel01 fiber sections

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