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Composing Small-Signal Models via the Component Connection Method with Python and Excel
Vilmann, Benjamin ; Saborio-Romano, Oscar ; Muller, Daniel
2024 59th International Universities Power Engineering Conference (UPEC) Universities Power Engineering Conference (UPEC), 2024 59th International. :1-6 Sep, 2024
Data analysis with Python for Excel users.
Knowledgemotion Ltd., film distributor. ; APMonitor.com, publisher.
Extending Excel with Python and R : Unlock the potential of analytics languages for advanced data manipulation and visualization
Steven Sanderson ; David Kun ; Steven Sanderson ; et al.
Integrating Python and Microsoft Excel in teaching parametric optimization in Process Engineering ; Integrando Python y Microsoft Excel en la enseñanza de la optimización paramétrica en Ingeniería de Procesos ; Integrando Python e Microsoft Excel no ensino de otimização paramétrica em Engenharia de Processos
Pontes do Carmo, Francinelson ; de França Bezerra, Vanja Maria ; Carmo, Francinelson Pontes do ; et al.
Revista Docência do Ensino Superior; Vol. 15 (2025); 1-22 ; Revista Docência do Ensino Superior; v. 15 (2025); 1-22 ; 2237-5864 ; 2358-6338
Python simulation of heating and cooling of Extruded tubes using Excel as interface
Qurbani, Moshteba ; Qurbani, Moshteba
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TEACHING LINEAR REGRESSION WITH PYTHON AND EXCEL: METHODS, TOOLS, AND PRACTICAL TASKS
Kalcheva, Neli ; Todorova, Maya ; Marinova, Ginka ; et al.
ENVIRONMENT. TECHNOLOGY. RESOURCES. Proceedings of the International Scientific and Practical Conference; Vol. 3 (2025): Environment. Technology. Resources. Proceedings of the 16th International Scientific and Practical Conference. Volume 3; 163-167 ; 2256-070X ; 1691-5402
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Power System Stability Analysis Using Integration of Prony, PSSE, Python and Excel
Mohamad, Arfah Marini ; Rashid, NE Abdul
2017 21st International Computer Science and Engineering Conference (ICSEC) Computer Science and Engineering Conference (ICSEC), 2017 21st International. :1-6 Nov, 2017
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Impact sensitivities of energetic materials derived from easy-to-compute ab initio rate constantsElectronic supplementary information (ESI) available: Excel file with standard activation energies computed on model systems (Table S1), details of the fitted relationships between diatomic bond lengths and corresponding stretching frequencies (Table S2), experimental and calculated sensitivities for the studied models (Table S3) and Python scripts implementing the present Mod-2P, Mod-K and Lasso-K models. See DOI: https://doi.org/10.1039/d2cp05742e
Claveau, Romain ; Glorian, Julien ; Mathieu, Didier
Physical chemistry chemical physics. 25(15):10550-10560
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Computer Resource Utilization Analysis for Microsoft Excel and Python in Data Processing
Kelvin, Kelvin ; Wahab, Wahidin ; Wulandari, Meirista
Engineering, MAthematics and Computer Science Journal (EMACS); Vol. 6 No. 2 (2024): EMACS; 137-142 ; 2686-2573
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Python Inside of Excel: Microsoft brings support for Python into Excel, adding the power of the programming language within the familiar Excel environment.
Jelen, Bill
Strategic Finance. Nov2023, Vol. 105 Issue 5, p59-64. 6p.
Leveraging Python for Enhanced Excel Functionality: A Practical Exploration
Soliyev, B ; Odilov, A. ; Abdurasulova, Sh. ; et al.
End-user software engineering approach: improve spreadsheets capabilities using Python-based user-defined functions
Elserwy, Tamer Bahgat ; Aly, Tarek ; El-Demerdash, Basma E. ; et al.
Indonesian Journal of Electrical Engineering and Computer Science; Vol 38, No 2: May 2025; 1024-1032 ; 2502-4760 ; 2502-4752 ; 10.11591/ijeecs.v38.i2
Predicting dielectric constants of pure liquids: fragment-based Kirkwood–Fröhlich model applicable over a wide range of polarityElectronic supplementary information (ESI) available: Excel file with Table S1 compiling all calculations carried out in this study; Word document with Fig. S1 illustrating the fragmentation algorithm, and Tables S2, S3 and S4 summarizing the values of all model parameters; RDkit-based Python script with example input and output files for easy application of the model. See DOI: 10.1039/c9cp01704f
Bouteloup, Rémi ; Mathieu, Didier
Physical chemistry chemical physics. 21(21):11043-11057
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