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Thematische Bibliographien / Python scripting

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Auswahl der wissenschaftlichen Literatur zum Thema „Python scripting“

Autor: Grafiati

Veröffentlicht am 25. Juni 2021

Zuletzt aktualisiert am 14. Februar 2022

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Zeitschriftenartikel zum Thema "Python scripting"

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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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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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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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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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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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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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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Dissertationen zum Thema "Python scripting"

1

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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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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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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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"

1

Python scripting for computational science. 2nd ed. Springer, 2006.

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Python scripting for computational science. Springer, 2004.

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Python scripting for computational science. 3rd ed. Springer, 2009.

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

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Inc, ebrary, ed. Blender 2.49 scripting: Extend the power and flexibility of Blender with the help of Python, a high-level, easy-to-learn scripting language. Packt Open Source, 2010.

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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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Ahlquist, John. Game development essentials: Game artificial intelligence. Thomson/Delmar Learning, 2008.

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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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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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López, Claudio David, and José Luis Rueda Torres. "Python Scripting for DIgSILENT PowerFactory: Leveraging the Python API for Scenario Manipulation and Analysis of Large Datasets." In Green Energy and Technology. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-50532-9_2.

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Kent, Brian R. "Python scripting." In 3D Scientific Visualization with Blender. Morgan & Claypool Publishers, 2014. http://dx.doi.org/10.1088/978-1-6270-5612-0ch7.

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Konferenzberichte zum Thema "Python scripting"

1

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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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. "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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Chaves, Juan Carlos, John Nehrbass, Brian Guilfoos, et al. "Octave and Python: High-Level Scripting Languages Productivity and Performance Evaluation." In 2006 HPCMP Users Group Conference (HPCMP-UGC'06). IEEE, 2006. http://dx.doi.org/10.1109/hpcmp-ugc.2006.55.

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Musthyala, Harish, and P. Nagarjuna Reddy. "Hacking wireless network credentials by performing phishing attack using Python Scripting." In 2021 5th International Conference on Intelligent Computing and Control Systems (ICICCS). IEEE, 2021. http://dx.doi.org/10.1109/iciccs51141.2021.9432155.

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Dai, Yitian, Mathaios Panteli, and Robin Preece. "Python Scripting for DIgSILENT PowerFactory: Enhancing Dynamic Modelling of Cascading Failures." In 2021 IEEE Madrid PowerTech. IEEE, 2021. http://dx.doi.org/10.1109/powertech46648.2021.9494872.

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Dietl, Karin, Stephanie Gallardo Yances, Anna Johnsson, Johan Åkesson, Kilian Link, and Stéphane Velut. "Industrial application of optimization with Modelica and Optimica using intelligent Python scripting." In the 10th International Modelica Conference, March 10-12, 2014, Lund, Sweden. Linköping University Electronic Press, 2014. http://dx.doi.org/10.3384/ecp14096777.

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Schatten, Markus. "Reasonable Python or how to Integrate F-Logic into an Object-Oriented Scripting Language." In 2007 11th International Conference on Intelligent Engineering Systems. IEEE, 2007. http://dx.doi.org/10.1109/ines.2007.4283715.

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Manhães, Musa. "pcg_gazebo_pkgs: A Python library for scripting and rapid-prototyping of simulated Gazebo models and worlds." In ROSCon2019. Open Robotics, 2019. http://dx.doi.org/10.36288/roscon2019-900366.

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