نتائج البحث

Boosting RDataFrame performance with transparent bulk event processing.

• Authors : Guiraud, Enrico¹ ; Blomer, Jakob¹; Canal, Philippe²

• Source: EPJ Web of Conferences. 5/6/2024, Vol. 295, p1-8. 8p.

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A diffusion-based kernel density estimator (diffKDE, version 1) with optimal bandwidth approximation for the analysis of data in geoscience and ecological research.

• Authors : Pelz, Maria-Theresia^1,2 (AUTHOR); Schartau, Markus¹ (AUTHOR) ; Somes, Christopher J.¹ (AUTHOR)

• Source: Geoscientific Model Development. 2023, Vol. 16 Issue 22, p6609-6634. 26p.

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Quasi Elastic Neutron Scattering model library.

• Authors : Durniak, Céline¹ ; González, Miguel Angel²; Markvardsen, Anders³

• Source: EPJ Web of Conferences. 10/9/2023, Vol. 286, p1-7. 7p.

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Assessment of Residual Chlorine Interaction with Different Microelements in Stormwater Sediments.

• Authors : Valentukeviciene, Marina¹ (AUTHOR) ; Andriulaityte, Ieva¹ (AUTHOR); Chadysas, Viktoras² (AUTHOR)

Subjects: *CHLORINE; *PYTHON programming language; *TRACE elements

• Source: Molecules. Jul2023, Vol. 28 Issue 14, p5358. 12p.

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CONSIDERATION OF THE POSSIBILITIES OF APPLYING MACHINE LEARNING METHODS FOR DATA ANALYSIS WHEN PROMOTING SERVICES TO BANK’S CLIENTS.

• Authors : Bulhakova, Olha¹ ; Ulianovska, Yuliia^2,3; Kostenko, Victoria¹

• Source: Technology Audit & Production Reserves. 2022, Vol. 4 Issue 2(66), p14-18. 5p.

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Supervised learning and model analysis with compositional data.

• Authors : Huang, Shimeng¹ (AUTHOR) ; Ailer, Elisabeth² (AUTHOR); Kilbertus, Niki^2,3 (AUTHOR)

• Source: PLoS Computational Biology. 6/30/2023, Vol. 19 Issue 6, p1-19. 19p. 5 Graphs.

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DATA ANALYSIS AND WORKING WITH EXCEL FILES IN PYTHON PROGRAMMING LANGUAGE

• Authors : Yusupova J.; Bekjanov R.; Omonov S.

Subjects: python; data analysis; Excel files

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الأساليب الحديثة في تحليل البيانات في البحوث الاجتماعية: لغة Python ومكتبة Pandas نموذجا ; The Modern Methods of Data Analysis in Social Research: Python Programming Language and its Pandas Library as an Example- a Theoretic Study

• Authors : Harouni , Ikram

Subjects: Data analysis; Pandas library; Python

• Source: مجلة التمكين الاجتماعي; مجلد 6 عدد 1 (2024); 56-70 ; Social Empowerment Journal; Vol. 6 No. 1 (2024); 56-70 ; Journal d'Autonomisation Sociale; Vol. 6 No 1 (2024); 56-70 ;

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ASpecD: A Modular Framework for the Analysis of Spectroscopic Data Focussing on Reproducibility and Good Scientific Practice**.

• Authors : Popp, Jara¹ (AUTHOR); Biskup, Till^1,2 (AUTHOR)

• Source: Chemistry - Methods. Jun2022, Vol. 2 Issue 6, p1-15. 15p.

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Python Routine for an Easy Visualization of the Influence of Supply Network Characteristics on the Hydraulic Behavior of a Small Closed Loop.

• Authors : da Silva Pizzo, Henrique^1,2 ; Pochwat, Kamil³ ; Rezende dos Santos, Victor⁴

Subjects: *CLOSED loop systems; *VISUALIZATION; *PYTHON programming language

• Source: Journal of Civil Engineering Frontiers (JoCEF). Jan-Jun2023, Vol. 4 Issue 1, p8-17. 10p.

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