Suchergebnisse - Python variables

Teachers' Beliefs and Practices on the Naming of Variables in Introductory Python Programming Courses von Van Der Werf, Vivian, Swidan, Alaaeddin, Hermans, Felienne, Specht, Marcus, Aivaloglou, Efthimia

“… Objective. This paper investigates naming beliefs, self-reported teaching practices, and observations regarding variable naming practices of teachers of introductory Python programming courses. Methods …”
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Innovation management model for functional food ingredients and additives. Alignment with hype cycle, Python S-curves, and open innovation variables von Montoya, Luis Horacio Botero, Sossa, Jhon Wilder Zartha, Piedrahíta, Juan Carlos Palacio, Mendoza, Gina Lía Orozco, Montoya, Andrés Felipe Restrepo, Pérez, Waldir Augusto Pacheco

“… The objective of this article is to generate an innovation management model for organizations in the functional food ingredients and additives sector, based on prioritization of variables, stakeholder …”
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chelsa‐cmip6 1.0: a python package to create high resolution bioclimatic variables based on CHELSA ver. 2.1 and CMIP6 data von Karger, Dirk Nikolaus, Chauvier, Yohann, Zimmermann, Niklaus E.

“… Here we present the chelsa_cmip6 package to create bioclimatic variables and climatological normals based on CHELSA ver …”
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HemiPy: A Python module for automated estimation of forest biophysical variables and uncertainties from digital hemispherical photographs von Brown, Luke A., Morris, Harry, Leblanc, Sylvain, Bai, Gabriele, Lanconelli, Christian, Gobron, Nadine, Meier, Courtney, Dash, Jadunandan

“… To address these limitations, we present HemiPy, an open‐source Python module for deriving forest biophysical variables and uncertainties from DHP images in an automated manner …”
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PYCV: a PLUMED 2 Module Enabling the Rapid Prototyping of Collective Variables in Python von Giorgino, Toni

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Search for dark matter particles in proton-proton collisions at s = 8 $$ \sqrt{s}=8 $$ TeV using the razor variables von Khachatryan, V., Sirunyan, A. M., Tumasyan, A., Adam, W., Asilar, E., Bergauer, T., Brandstetter, J., Brondolin, E., Dragicevic, M., Erö, J., Flechl, M., Friedl, M., Frühwirth, R., Ghete, V. M., Hartl, C., Hörmann, N., Hrubec, J., Jeitler, M., König, A., Krammer, M., Krätschmer, I., Liko, D., Matsushita, T., Mikulec, I., Rabady, D., Rad, N., Rahbaran, B., Rohringer, H., Schieck, J., Schöfbeck, R., Strauss, J., Treberer-Treberspurg, W., Waltenberger, W., Wulz, C.-E., Mossolov, V., Shumeiko, N., Suarez Gonzalez, J., Alderweireldt, S., Cornelis, T., De Wolf, E. A., Janssen, X., Knutsson, A., Lauwers, J., Luyckx, S., Van De Klundert, M., Van Haevermaet, H., Van Mechelen, P., Van Remortel, N., Van Spilbeeck, A., Abu Zeid, S., Blekman, F., D’Hondt, J., Daci, N., De Bruyn, I., Deroover, K., Heracleous, N., Keaveney, J., Lowette, S., Moortgat, S., Moreels, L., Olbrechts, A., Python, Q., Strom, D., Tavernier, S., Van Doninck, W., Van Mulders, P., Van Onsem, G. P., Van Parijs, I., Barria, P., Brun, H., Caillol, C., Clerbaux, B., De Lentdecker, G., Fasanella, G., Favart, L., Goldouzian, R., Grebenyuk, A., Karapostoli, G., Lenzi, T., Léonard, A., Maerschalk, T., Marinov, A., Perniè, L., Randle-conde, A., Seva, T., Vander Velde, C., Vanlaer, P., Yonamine, R., Zenoni, F., Zhang, F., Beernaert, K., Benucci, L., Cimmino, A., Crucy, S., Dobur, D., Fagot, A., Garcia, G., Gul, M., Mccartin, J., Ocampo Rios, A. A.

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PaCAL : A Python Package for Arithmetic Computations with Random Variables von n, Marcin Korzen, Jaroszewicz, Szymon

“… In this paper we present PaCAL, a Python package for arithmetical computations on random variables …”
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StepMix : A Python Package for Pseudo-Likelihood Estimation of Generalized Mixture Models with External Variables von Morin, Sacha, Legault, Robin, Laliberté, Félix, Bakk, Zsuzsa, Giguère, Charles-Édouard, de la Sablonnière, Roxane, Lacourse, Éric

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Monitoring Algorithm for Electrical Variables Implementing Blockchain and Python von Muñoz-Romero, Javier Andres, Giral-Ramírez, Diego Armando, Ramírez-Vanegas, Carlos Alberto

“… ABSTRACT Objective: This article presents a blockchain application in power systems using electrical variable monitoring delivered by a simulated relay. Methodology …”
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Monitoring Algorithm for Electrical Variables Implementing Blockchain and Python von Muñoz-Romero, Javier Andres, Giral-Ramírez, Diego Armando, Ramírez-Vanegas, Carlos Alberto

“… ABSTRACT Objective: This article presents a blockchain application in power systems using electrical variable monitoring delivered by a simulated relay. Methodology …”
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Monitoring system for electrical variables implementing blockchain and python von Giral Ramírez, Diego Armando, Muñoz Romero, Javier Andres, Ramírez Vanegas, Carlos Alberto

“… Objective: This article presents one of the Blockchain applications in power systems employing the electrical variables monitoring delivered by a simulated relay. Methodology …”
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Integrating agrotechnical practices to optimize maize yield potentials in a regional variable climate: DSSAT and Python tools von Mirshekarnezhad, Babak

“… Climate simulation models, crop yield prediction and programming tools are relevant applications that help farmers to create a platform in the natural …”
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oFVSD: a Python package of optimized forward variable selection decoder for high-dimensional neuroimaging data von Dang, Tung, Fermin, Alan S. R., Machizawa, Maro G.

“… Here, we introduce an efficient and high-performance decoding package incorporating a forward variable selection (FVS …”
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Appendix D: Python-to-MATLAB and MATLAB-to- Python Variable Converters von Danial, Albert

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A variable selection package driving Netica with Python von Beuzen, Tomas, Simmons, Joshua

“… of software designed to work with available BN packages. CVNetica_VS is an open-source Python module that extends the functionality of Netica, a commonly used commercial BN software package, to perform variable selection …”
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Sistema de monitoreo de variables eléctricas implementando blockchain y Python von Ramírez Vanegas, Carlos Alberto, Giral Ramírez, Diego Armando, Muñoz Romero, Javier Andrés

“… This study is carried out through the Python programming language. Results: An algorithm capable of integrating these variables from a simulated relay is created, 4 …”
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Algoritmo de monitoreo de variables eléctricas implementando blockchain y Python von Muñoz-Romero, Javier Andres, Giral-Ramirez, Diego Armando, Ramírez-Vanegas, Carlos Alberto

“… Metodología: Las variables eléctricas se verifican, comparan y cargan en una red blockchain creada por una red de servidores …”
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A search for new phenomena in pp collisions at √s̅ = 13 \text TeV s=13TeV in final states with missing transverse momentum and at least one jet using the α _(\mathrm T) αT variable von Khachatryan, V., Sirunyan, A. M., Tumasyan, A., Adam, W., Asilar, E., Bergauer, T., Brandstetter, J., Brondolin, E., Dragicevic, M., Erö, J., Flechl, M., Friedl, M., Frühwirth, R., Ghete, V. M., Hartl, C., Hörmann, N., Hrubec, J., Jeitler, M., König, A., Krätschmer, I., Liko, D., Matsushita, T., Mikulec, I., Rabady, D., Rad, N., Rahbaran, B., Rohringer, H., Schieck, J., Strauss, J., Waltenberger, W., Wulz, C.-E., Dvornikov, O., Makarenko, V., Zykunov, V., Mossolov, V., Shumeiko, N., Suarez Gonzalez, J., Alderweireldt, S., De Wolf, E. A., Janssen, X., Lauwers, J., Van De Klundert, M., Van Haevermaet, H., Van Mechelen, P., Van Remortel, N., Van Spilbeeck, A., Abu Zeid, S., Blekman, F., D’Hondt, J., Daci, N., De Bruyn, I., Deroover, K., Lowette, S., Moortgat, S., Moreels, L., Olbrechts, A., Python, Q., Tavernier, S., Van Doninck, W., Van Mulders, P., Van Parijs, I., Brun, H., Clerbaux, B., De Lentdecker, G., Delannoy, H., Fasanella, G., Favart, L., Goldouzian, R., Grebenyuk, A., Karapostoli, G., Lenzi, T., Léonard, A., Luetic, J., Maerschalk, T., Marinov, A., Randle-conde, A., Seva, T., Vander Velde, C., Vanlaer, P., Vannerom, D., Yonamine, R., Zenoni, F., Zhang, F., Cimmino, A., Cornelis, T., Dobur, D., Fagot, A., Garcia, G., Gul, M., Khvastunov, I., Poyraz, D., Salva, S., Schöfbeck, R., Sharma, A., Tytgat, M., Van Driessche, W., Yazgan, E., Zaganidis, N., Bakhshiansohi, H., Beluffi, C.

“… Several kinematic variables are employed to suppress the dominant background, multijet production, as well as to discriminate between other standard model and new physics processes …”
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PYInfer: Deep Learning Semantic Type Inference for Python Variables von Cui, Siwei, Zhao, Gang, Dai, Zeyu, Wang, Luochao, Huang, Ruihong, Huang, Jeff

“… ), they are usually ignored by existing tools. In this paper, we propose PYInfer, an end-to-end learning-based type inference tool that automatically generates type annotations for Python variables …”
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Operations in Synthesized Eight Link Gear Variable Topology Mechanism using Python Programming von Naveen, H. M., Balli, Shrinivas S., Daivagna, Umesh M., Patil, Rashmi

“… This paper illustrates the implementation of python programming in the field of kinematics and helps the planners to visualize the working nature of the synthesized mechanism …”
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