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Thematische Bibliographien / Python scripting / Zeitschriftenartikel

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Zeitschriftenartikel zum Thema „Python scripting“

Autor: Grafiati

Veröffentlicht am 25. Juni 2021

Zuletzt aktualisiert am 29. Juli 2025

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1

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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Kyosev, Yordan, Anselm Naake, and Ann-Malin Schmidt. "PYTEXLIB – OPEN SOURCE PYTHON LIBRARY FOR SCRIPTING TEXTILE STRUCTURES." Fibres and Textiles 32, no. 1 (2025): 13–15. https://doi.org/10.15240/tul/008/2025-1-002.

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This work presents a small, minimalistic, pure Python based open source library, which was designed to simplify the parametric creation of textile structures. The library comes as result of long years of teaching modelling of textiles at master and PhD level, where the difficulties with all existing packages and the learning outcomes from such one course were considered. The idea of the library is that the students learn at the same time first steps of programming Python using small library, it is running on any operation system and from other point of view, the user is able to concentrate on

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Myers, Wayne L. "Scalable Shared Scripting for Spatial Structure of Regionalized Ratings." Land 10, no. 8 (2021): 859. http://dx.doi.org/10.3390/land10080859.

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Incisive inquiry involving indicators of ecological and environmental integrity entails exploration of spatial structure at selected scales from landscape level to regional regimes. Conventional colorization of digital displays provides perspective but is largely lacking for localization, elaboration, and explication. An overall objective for recent research is explicit extraction of spatial structure as hyper-hills and proximal propensity. Shared scripting as a computational configuration affords analytical advantage, adaptability and availability. Conservation context captures challenges of

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O'Donnell, Jackson H., Robert B. Von Dreele, Maria K. Y. Chan, and Brian H. Toby. "A scripting interface for GSAS-II." Journal of Applied Crystallography 51, no. 4 (2018): 1244–50. http://dx.doi.org/10.1107/s1600576718008075.

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The GSAS-II suite is a complete crystallographic analysis package for all types of X-ray and neutron diffraction data, suited for fitting models ranging from simple materials to proteins, and designed around an integrated graphical user interface. This article describes a new module within GSAS-II, GSASIIscriptable, which provides access to the GSAS-II data structures and an extensible mechanism to run a significant fraction of GSAS-II functionality, particularly for powder diffraction applications, from within Python scripts or directly from commands in a shell/batch script. This allows paral

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Westad, Frank, Lars Gidskehaug, and Chuck Miller. "The best of two worlds." NIR news 31, no. 5-6 (2020): 34–39. http://dx.doi.org/10.1177/0960336020944008.

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With the latest release of Unscrambler, Camo Analytics introduced support for Python scripting, giving users the best of two worlds. This Python extension allows users to tap into the vast ecosystem of Data Science tools that are continually being produced in the Python community, while still leveraging the familiar data handling, validation and visualization features of Unscrambler – all contained within a fully compliant framework. This paper discusses the value propositions that the Python extension can provide to Unscrambler users, and follows this up with some specific examples of common

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Sykes, Richard A., Natalie T. Johnson, Christopher J. Kingsbury, et al. "What has scripting ever done for us? The CSD Python application programming interface (API)." Journal of Applied Crystallography 57, no. 4 (2024): 1235–50. http://dx.doi.org/10.1107/s1600576724005934.

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Since its first release in 2016, the Cambridge Structural Database Python application programming interface (CSD Python API) has seen steady uptake within the community that the Cambridge Crystallographic Data Centre serves. This article reviews the history of scripting interfaces, demonstrating the need, and then briefly outlines the technical structure of the API. It describes the reach of the CSD Python API, provides a selected review of its impact and gives some illustrative examples of what scientists can do with it. The article concludes with speculation as to how such endeavours will ev

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Mohr, Mateusz. "Selected techniques for source code obfuscation in scripting languages." Computer Science and Mathematical Modelling, no. 18/2023 (May 30, 2024): 33–42. http://dx.doi.org/10.5604/01.3001.0054.6335.

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The article presents the most common techniques for obfuscating the source code of computer programs. Obfuscation is defined and demonstrated through simple and easy-to-understand examples of code written in scripting languages such as Python and JavaScript. Its applications are discussed, and it is shown how to easily make the analysis of one’s programs more difficult.

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Mihăilă, Paul, Titus Bălan, Radu Curpen, and Florin Sandu. "Network Automation and Abstraction using Python Programming Methods." MACRo 2015 2, no. 1 (2017): 95–103. http://dx.doi.org/10.1515/macro-2017-0011.

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AbstractNetwork programmability is a trend, enhanced and inspired by Software Defined Networks, that are based on scripting methods and standard programming languages used for controlling and monitoring of network elements. This paper is illustrating some new methods in configuring network devices by using automation, reducing time for equipment configuration and easier maintenance. It also improves network security by recognizing and fixing security vulnerabilities and it increases the network stability. These methods represent the future of networks, allowing the management of an increased n

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Guidi, G., C. Vecchi, N. Maffei, et al. "PO-0923: Deformable registration using python scripting for adaptive RT automation." Radiotherapy and Oncology 111 (2014): S116. http://dx.doi.org/10.1016/s0167-8140(15)31041-0.

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Dysarz, Tomasz. "Application of Python Scripting Techniques for Control and Automation of HEC-RAS Simulations." Water 10, no. 10 (2018): 1382. http://dx.doi.org/10.3390/w10101382.

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The purpose of the paper was to present selected techniques for the control of river flow and sediment transport computations with the programming language Python. The base software for modeling of river processes was the well-known and widely used HEC-RAS. The concepts were tested on two models created for a single reach of the Warta river located in the central part of Poland. The ideas described were illustrated with three examples. The first was a basic simulation of a steady flow run from the Python script. The second example presented automatic calibration of model roughness coefficients

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Yavuz, Hande. "Computation of dimensional variations on the structural analysis of multi-cell aircraft box beams with python scripting." Aircraft Engineering and Aerospace Technology 93, no. 5 (2021): 880–87. http://dx.doi.org/10.1108/aeat-03-2021-0077.

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Purpose Python codes are developed for the versatile structural analysis on a 3 spar multi-cell box beam by means of idealization approach. Design/methodology/approach Shear flow distribution, stiffener loads, location of shear center and location of geometric center are computed via numpy module. Data visualization is performed by using Matplotlib module. Findings Python scripts are developed for the structural analysis of multi-cell box beams in lieu of long hand solutions. In-house developed python codes are made available to be used with finite element analysis for verification purposes. O

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Madamanchi, Sambasiva Rao. "Modern Approaches to Unix Automation: Shell Scripting, Configuration Management, and Security." International Journal for Research in Applied Science and Engineering Technology 13, no. 6 (2025): 3190–201. https://doi.org/10.22214/ijraset.2025.72773.

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This study examines key scripting methodologies essential for automating Unix system administration within modern IT infrastructures. As systems grow in complexity, automation becomes crucial for achieving consistency, scalability, and reliability. The study explores Unix shell environments including Bash, sh, and zsh, and introduces foundational scripting elements such as syntax, control flow, I/O redirection, and execution permissions. It highlights practical applications in user account management, backups, monitoring, and software deployment, supported by real world examples. Scheduling me

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Kraft, P., S. Multsch, K. B. Vaché, H. G. Frede, and L. Breuer. "Using Python as a coupling platform for integrated catchment models." Advances in Geosciences 27 (August 25, 2010): 51–56. http://dx.doi.org/10.5194/adgeo-27-51-2010.

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Abstract. Interdisciplinary sharing of knowledge is a key for understanding matter fluxes in landscapes. However, models of transport and reactive fluxes from different disciplines need to work seamlessly together, to capture the tight feedback loops between different compartments and process domains of a landscape. Techniques to facilitate the integration of model codes for integrated catchment modelling exist, but are still scarcely used. In this paper, we are testing a scripting language, Python as a model coupling platform, and demonstrates effects of feedback loops on a virtual agricultur

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Fancher, Chris M., Jeff R. Bunn, Jean Bilheux, et al. "pyRS: a user-friendly package for the reduction and analysis of neutron diffraction data measured at the High Intensity Diffractometer for Residual Stress Analysis." Journal of Applied Crystallography 54, no. 6 (2021): 1886–93. http://dx.doi.org/10.1107/s1600576721010554.

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The pyRS (Python residual stress) analysis software was designed to address the data reduction and analysis needs of the High Intensity Diffractometer for Residual Stress Analysis (HIDRA) user community. pyRS implements frameworks for the calibration and reduction of measured 2D data into intensity versus scattering vector magnitude and subsequent single-peak-fitting analysis to facilitate texture and residual strain/stress analysis. pyRS components are accessible as standalone user interfaces for peak-fitting and stress/strain analysis or as Python scripts. The scripting interface facilitates

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Fazriati, Evi, Ayi Syaeful Bahri, and Yudi Rosandi. "The Analysis of Triaxial Passive Seismic Signal Data Using Python Scripting Language." Journal of Physics: Conference Series 2376, no. 1 (2022): 012015. http://dx.doi.org/10.1088/1742-6596/2376/1/012015.

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Abstract The local geological and the physical conditions of earth’s ground defines its vibration characteristics. Such vibrations can be detected using conventional passive seismic methods, i.e., a microtremor recording method, which acquires ground vibration data in a suitable sampling time. The method utilizes natural seismic sources, originating from both natural and artificial sources. In this work we present the algorithm to process passive seismic signals, recorded from a laboratory developed triaxial seismic logging device. We use python scripting language to perform the signal process

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Aashni, Joshi, and Kshirsagar Mohan. "Mathematical Modeling for Planetary Motion using Python's PyGame Module, Matplotlib and Linux Shell Scripting." International Journal of Innovative Science and Research Technology 7, no. 10 (2022): 64–70. https://doi.org/10.5281/zenodo.7217917.

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- In this research paper a model of the solar system for computing the orbits of all 8 planets true to its astronomical value and scale using python programming language is developed. The motion is visualised using Pygame and Matplotlib library. Iteration is utilized to depict and update the position of the planets during the process, and also develop a model to generate the date, time, and place of all solar and lunar eclipses from 2001 to 2100 by importing python modules related to astronomy. The model's validity and accuracy are demonstrated by the study and application of Kepler’

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Yeda, Lian, Zhang Bing, and Wu Renqiang. "Application of Python language in UOE molding simulation of pipeline steel." MATEC Web of Conferences 242 (2018): 01018. http://dx.doi.org/10.1051/matecconf/201824201018.

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The ABAQUS plug-in interface based on Python language realizes geometrical design and automatic modeling of gas pipeline UOE molding, which solves the cumbersome problem of manually building complexgeometric models. In this study, the algorithm for different sizes of pipelines corresponding to different molds was designed. At the same time, as the ABAQUS kernel scripting program was written, a GUI interface was developed. The interface was used to realize automatic modeling and analysis and control of the calculation work, which laid a solid foundation for practical engineering application ana

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Savić, Filip, та Milan Vidaković. "Интеграција Mainflux платформе у систем за управљање енергетском потрошњом у паметној кући". Zbornik radova Fakulteta tehničkih nauka u Novom Sadu 36, № 07 (2021): 1167–70. http://dx.doi.org/10.24867/13be02savic.

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Zadatak rada jeste integracija Mainflux platforme u sistem za upravljanje energetskom potrošnjom u pametnoj kući. Mainflux platforma je korišćena zajedno sa Bash scripting-om da obezbijedi dostupnost podataka potrebnih za generisanje realne potrošnje električne energije. Simulacija je rađena pomoću Typhoon HIL softvera. Python programski jezik je korišćen za dobavljanje podataka sa Mainflux-a, stavljanje podataka u Typhoon HIL simulaciju, te upis realne energetske potrošnje u CSV datoteku.

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Petrova, N. K., A. P. Mukhachev, A. A. Zagidullin, and S. M. Koutsenko. "Creating an Electronic Course on Programming in Python for the Android Platform." Programmnaya Ingeneria 12, no. 4 (2021): 216–22. http://dx.doi.org/10.17587/prin.12.216-222.

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The description and principles of developing a mobile application for the Android platform that provides free access to electronic courses on teaching the basic structures of the Python language and the construction of template programming algorithms based on them are presented. The content of the course is based on the principle of comparative analysis with the C++ language, one of the goals of which is to differentiate the tasks for which it is more efficient to use either the Python scripting language or the C++ compiler. The developed application is logically integral, allows the possibili

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Shehadeh, Madeleine Taiseer, and Mohammed Jamil Al-Qaralleh. "Development of a GIS Tool to Find Fiber Cable Fault Using Python Scripting for ArcGIS in Amman City." Jordan Journal of Social Sciences 17, no. 2 (2024): 208–38. http://dx.doi.org/10.35516/jjss.v17i2.1297.

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Optical fiber cables are characterized by a larger bandwidth than other transmission media, which increases the amount of data transmitted per unit of time. Managing a fiber optic network using Geographic Information Systems (GIS) has benefits for the operation and maintenance of the communication network. The study aims to develop a GIS tool to detect fiber optic cable faults using Python Scripting for ArcGIS in the city of Amman. To achieve this goal, the Esri data model for telecommunications was used. The study concluded that it is possible to locate faults using the Python programming lan

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Sauter, Nicholas K., Johan Hattne, Ralf W. Grosse-Kunstleve, and Nathaniel Echols. "New Python-based methods for data processing." Acta Crystallographica Section D Biological Crystallography 69, no. 7 (2013): 1274–82. http://dx.doi.org/10.1107/s0907444913000863.

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Current pixel-array detectors produce diffraction images at extreme data rates (of up to 2 TB h−1) that make severe demands on computational resources. New multiprocessing frameworks are required to achieve rapid data analysis, as it is important to be able to inspect the data quickly in order to guide the experiment in real time. By utilizing readily available web-serving tools that interact with the Python scripting language, it was possible to implement a high-throughput Bragg-spot analyzer (cctbx.spotfinder) that is presently in use at numerous synchrotron-radiation beamlines. Similarly, P

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Weiss, Alec, and Atef Elsherbeni. "Computational Performance of MATLAB and Python for Electromagnetic Applications." Applied Computational Electromagnetics Society 35, no. 11 (2021): 1394–95. http://dx.doi.org/10.47037/2020.aces.j.351166.

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MATLAB and Python are two commonly used scripting languages for prototyping electromagnetic problems today. Each of these languages provides access to computationally efficient functions allowing a user to easily run many math heavy problems with minimal programming. In this paper we will discuss the usage of MATLAB and a variety of libraries in Python capable of running these efficient computations. Tests will be run in both languages to compare both CPU and GPU computations. The runtimes of a variety of problems using each of these platforms will also be compared for a variety of mathematica

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Harshada, Modak, Pise Rohini, More Sayali, Gupta Rishabh, and Bhagwat \Anuja. "Voice Assistant based Telecommunication System (Tele-Bot)." International Journal of Engineering and Advanced Technology (IJEAT) 9, no. 4 (2020): 1463–65. https://doi.org/10.35940/ijeat.D7443.049420.

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In this research we are aiming to plan, develop and deploy a model which is based on voice recognition. We trying to inculcate algorithm which are based on machine learning and also using artificial intelligence technology. We are learning the stages of voice recognition technology, depth of its working accuracy, probabilistic use cases, and system friendliness with the help of Python Programming Language. In order to increase the efficiency of system we are going to take response time into consideration which is crucial requirement into current environment. Python is easy to learn, High Level

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Giannini, Paola, and Albert Shaqiri. "A Provably Correct Compilation of Functional Languages into Scripting Languages." Scientific Annals of Computer Science XXVII, no. 1 (2017): 19–76. https://doi.org/10.7561/SACS.2017.1.19.

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In this paper we consider the problem of translating core F#, a typed functional language including mutable variables and exception handling, into scripting languages such as JavaScript or Python. In previous work, we abstracted the most significant characteristics of scripting languages in an intermediate language (IL for short). IL is a block-structured imperative language in which a definition of a name does not have to statically precede its use. We define a bigstep operational semantics for core F# and for IL and formalise the translation of F# expressions into IL. The main contribution o

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Irrgang, M. Eric, Caroline Davis, and Peter M. Kasson. "gmxapi: A GROMACS-native Python interface for molecular dynamics with ensemble and plugin support." PLOS Computational Biology 18, no. 2 (2022): e1009835. http://dx.doi.org/10.1371/journal.pcbi.1009835.

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Gmxapi provides an integrated, native Python API for both standard and advanced molecular dynamics simulations in GROMACS. The Python interface permits multiple levels of integration with the core GROMACS libraries, and legacy support is provided via an interface that mimics the command-line syntax, so that all GROMACS commands are fully available. Gmxapi has been officially supported since the GROMACS 2019 release and is enabled by default in current versions of the software. Here we describe gmxapi 0.3 and later. Beyond simply wrapping GROMACS library operations, the API permits several adva

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Huang, Jiacong, Junfeng Gao, Georg Hörmann, and Wolf M. Mooij. "Integrating three lake models into a Phytoplankton Prediction System for Lake Taihu (Taihu PPS) with Python." Journal of Hydroinformatics 14, no. 2 (2011): 523–34. http://dx.doi.org/10.2166/hydro.2011.020.

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In the past decade, much work has been done on integrating different lake models using general frameworks to overcome model incompatibilities. However, a framework may not be flexible enough to support applications in different fields. To overcome this problem, we used Python to integrate three lake models into a Phytoplankton Prediction System for Lake Taihu (Taihu PPS). The system predicts the short-term (1–4 days) distribution of phytoplankton biomass in this large eutrophic lake in China. The object-oriented scripting language Python is used as the so-called ‘glue language’ (a programming

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Wang, Bo, Aashish Kolluri, Ivica Nikolić, Teodora Baluta, and Prateek Saxena. "User-Customizable Transpilation of Scripting Languages." Proceedings of the ACM on Programming Languages 7, OOPSLA1 (2023): 201–29. http://dx.doi.org/10.1145/3586034.

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A transpiler converts code from one programming language to another. Many practical uses of transpilers require the user to be able to guide or customize the program produced from a given input program. This customizability is important for satisfying many application-specific goals for the produced code such as ensuring performance, readability, ease of exposition or maintainability, compatibility with external environment or analysis tools, and so on. Conventional transpilers are deterministic rule-driven systems often written without offering customizability per user and per program. Recent

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Yaddanapudi, Guru Vardhan, Nagul Meera Shaik, Ajith Shaik, Hemanth Bogadula, and Naidu Ponnada Guruvulu. "Air quality prediction and analysis using embedded sensors and machine learning." i-manager's Journal on Computer Science 13, no. 1 (2025): 10. https://doi.org/10.26634/jcom.13.1.21896.

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This paper introduces a comprehensive, real-time air quality monitoring and alert system that combines sensor-based hardware with a machine learning model for data classification. The system integrates gas sensors MQ135, MQ2, MQ9, a DHT11 temperature and humidity sensor, and an Arduino Mega 2560 microcontroller. Sensor data is processed using a Python-based Random Forest classifier to predict pollution levels and environmental conditions. Alerts are triggered through buzzers, LCD displays, and GSM-based SMS notifications. Unlike traditional setups requiring Wi-Fi modules, the system transmits

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Gu, Tian, Cheng Xi Lei, and Zhong Wen Xing. "Study on the Phase Transformation Simulation of Hot-Stamping." Advanced Materials Research 486 (March 2012): 492–96. http://dx.doi.org/10.4028/www.scientific.net/amr.486.492.

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The temperature fields in hot-stamping process for BR1500HS steel sheet was simulated under the ABAQUS environment. Python scripting language was used for post-processing module of ABAQUS for secondary development, to obtain the volume fraction of martensite based on the formulas proposed by Koistinen and Marburger. The comparison results between simulation and metallograph show that the simulation can predict the volume fraction of martensitic effectively and thus can provide the guidance for the optimizing process parameters.

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Cai, Mingfeng. "Research on Network Traffic Anomaly Detection Method Based on Python." Academic Journal of Science and Technology 4, no. 1 (2022): 121–24. http://dx.doi.org/10.54097/ajst.v4i1.3594.

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Abnormal traffic is the traffic that differs from the normal range of network services. Objective social and natural phenomena, network equipment failures on hardware, and man-made malicious attacks can all lead to abnormal network traffic. Python is a computer programming language that can realize cross-platform interaction, and it is also an object-oriented explanatory and interactive scripting language. Based on this, this paper studies the network traffic anomaly detection method based on Python. By sampling the data sets divided by each layer with different strategies, multiple balanced s

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Rysak, Paweł. "Comparative analysis of code execution time by C and Python based on selected algorithms." Journal of Computer Sciences Institute 26 (March 30, 2023): 93–99. http://dx.doi.org/10.35784/jcsi.3109.

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The article deals with a comparative analysis of the speed of code execution written in the C language and Python. In order to determine whether a scripting language can match the performance of a compiled language, a comparison of the languages was made using the following algorithms: the algorithm for solving the Hanoi tower problem, the Huffman encoding algorithm and the algorithm for converting numbers into text. Each of the listed algorithms was implemented in both languages. Then the execution time of the programs was measured and the results were obtained, which prove that the C languag

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Nandy, Zenith. "Identification of Microcontroller Based Objects Using Image Classification in Python." International Journal for Research in Applied Science and Engineering Technology 9, no. 9 (2021): 87–92. http://dx.doi.org/10.22214/ijraset.2021.37920.

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Abstract: In this paper, I built an AI model using deep learning, which identifies whether a given image is of an Arduino, a Beaglebone Black or a Jetson Nano. The identification of the object is based on prediction. The model is trained using 300 to 350 datasets of each category and is tested multiple times using different images at different angles, background colour and size. After multiple testing, the model is found to have 95 percent accuracy. Model used is Sequential and uses Convolution Neural Network (CNN) as its architecture. The activation function of each layer is RELU and for the

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Florian Wellmann, J., Adrian Croucher, and Klaus Regenauer-Lieb. "Python scripting libraries for subsurface fluid and heat flow simulations with TOUGH2 and SHEMAT." Computers & Geosciences 43 (June 2012): 197–206. http://dx.doi.org/10.1016/j.cageo.2011.10.011.

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Zhang, Zhi-Wei, and Wen-Cai Lu. "AmberMDrun: A Scripting Tool for Running Amber MD in an Easy Way." Biomolecules 13, no. 4 (2023): 635. http://dx.doi.org/10.3390/biom13040635.

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MD simulations have been widely applied and become a powerful tool in the field of biomacromolecule simulations and computer-aided drug design, etc., which can estimate binding free energy between receptor and ligand. However, the inputs and force field preparation for performing Amber MD is somewhat complicated, and challenging for beginners. To address this issue, we have developed a script for automatically preparing Amber MD input files, balancing the system, performing Amber MD for production, and predicting receptor-ligand binding free energy. This script is open-source, extensible and c

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Iorgandopol, Mihai, and Patricia Tita. "BASIC WELL LOG INTERPRETATION IN PYTHON PROGRAMMING LANGUAGE." Romanian Journal of Petroleum & Gas Technology 6 (77), no. 1 (2025): 297–304. https://doi.org/10.51865/jpgt.2025.01.20.

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Python has rapidly become the programming language of petroleum geoscientists during the last decade. It is used widely in development, research and scientific activities and is included in many commercial software as an option for additional scripting purposes. Geophysical well log data interpretation is one of the most useful and important tools available to a petroleum geologist [12]. The results of log analysis and interpretation play an important role in the decision making in oil and gas activities throughout the exploration, development and production stages. The standard log interpreta

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Aboulhassan, Amal, Francesco Brun, George Kourousias, et al. "PyPore3D: An Open Source Software Tool for Imaging Data Processing and Analysis of Porous and Multiphase Media." Journal of Imaging 8, no. 7 (2022): 187. http://dx.doi.org/10.3390/jimaging8070187.

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In this work, we propose the software library PyPore3D, an open source solution for data processing of large 3D/4D tomographic data sets. PyPore3D is based on the Pore3D core library, developed thanks to the collaboration between Elettra Sincrotrone (Trieste) and the University of Trieste (Italy). The Pore3D core library is built with a distinction between the User Interface and the backend filtering, segmentation, morphological processing, skeletonisation and analysis functions. The current Pore3D version relies on the closed source IDL framework to call the backend functions and enables simp

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Kensek, Karen M. "TEACHING VISUAL SCRIPTING IN BIM: A CASE STUDY USING A PANEL CONTROLLED BY SOLAR ANGLES." Journal of Green Building 13, no. 1 (2018): 113–38. http://dx.doi.org/10.3992/1943-4618.13.1.113.

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Programming and scripting can be used to activate a 3D parametric model to create a more intelligent and flexible building information model. There has been a trend in the building industry towards the use of visual scripting that allow users to create customized, flexible, and powerful programs without having to first learn how to write traditional code. Using visual scripting, users graphically interact with program elements instead of typing lines of text-based code. Nodes are created and virtually wired together; they can be numbers, sliders for adjusting values, operators and functions, l

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Reddy M, Shyam Prasad, and Dr Ambareesh S. "NETWORK AUTOMATION." International Journal of Innovative Research in Advanced Engineering 9, no. 8 (2022): 203–6. http://dx.doi.org/10.26562/ijirae.2022.v0908.10.

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In the traditional ways of networking, we have a lot of manual operations to complete any task in networking. This leads to a heavier cost in network management than the cost of the network. To overcome cost and efficiency in network configuration and management, we are automating the tasks using software, where they can control, configure and manage networks. In this project, we are upgrading the Arista device operating system by taking pre and post conformations using python. Networking programming is based on software networks, where scripting is used for network elements control.

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Tang, Wei. "Application of ABAQUS Secondary Development in Finite Element Analysis of the Bend Roller." Advanced Materials Research 187 (February 2011): 609–13. http://dx.doi.org/10.4028/www.scientific.net/amr.187.609.

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Bend roller is a key component of belt conveyor. Its reliability and service life have serious impacts on the performance of conveyor. In this study, Python was used as the programming langrage to complete Secondary Development, mainly focused on complied User Interface and Scripting Program. Taking one meter bend roller as an example, its parametric analysis was accomplished, the results showed that program interface was friendly and feasible, and the design efficiency can be improved distinctly, further more it provided a theoretical basis for bend roller design and optimization.

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Rücker, Carsten. "Open-source Python library for modeling coupled thermo-hydro-mechanical (THM) processes." Safety of Nuclear Waste Disposal 2 (September 6, 2023): 127–28. http://dx.doi.org/10.5194/sand-2-127-2023.

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Abstract. The interactions between temperature, fluids, and mechanical properties in a repository system are essentially described scientifically by coupled thermo-hydro-mechanical (THM) processes. THM modeling, i.e., the prediction of the behavior of materials under different conditions, is the fundamental numerical tool here. The confident handling and deep understanding of numerical computation methods is thus the prerequisite for performing and evaluating preliminary safety analyses in the site selection process. At the Federal Office for the Safety of Nuclear Waste Management (BASE), a so

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Dudek, Mateusz, Dawid Mrocheń, Anton Sroka, and Krzysztof Tajduś. "Integrating the Finite Element Method with Python Scripting to Assess Mining Impacts on Surface Deformations." Applied Sciences 14, no. 17 (2024): 7797. http://dx.doi.org/10.3390/app14177797.

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Mining operations disrupt the structure of rock layers, leading to surface deformations and potential mining damage. This issue has been extensively studied since the 19th century using various analytical, geometric-integral, and stochastic methods. Since the 1990s, numerical methods have been increasingly applied to determine changes in the stress and strain states of rock masses due to mining activities. These methods account for numerous additional factors influencing surface deformation, offering significant advantages over classical approaches. However, modelling rock masses presents chal

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