• Suche: Practical Data Science with Python

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101

Using Polars to Improve String Similarity Performance in Python
Jeremy Foxcroft ; Luiza Antonie
International Journal of Population Data Science, Vol 9, Iss 5 (2024)

Demography. Population.... HB848-3697
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102

Design and Python Simulation of Cross-border E-commerce Logistics Pathways Based on Machine Learning Algorithms
Liu, Jian ; Lei, Fei N/A ; Liu, Qi ; et al.
Proceedings of the International Conference on Image Processing, Machine Learning and Pattern Recognition. :627-633

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103

PyNKDV: An Efficient Network Kernel Density Visualization Library for Geospatial Analytic Systems
Chan, Tsz Nam ; Zang, Rui ; Ip, Pak Lon ; et al.
Companion of the 2023 International Conference on Management of Data. :99-102

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104

Introducing the technical individual contribution coefficient: a metric for evaluating performance in elite volleyball.
López-Serrano, Carlos ; Zakynthinaki, M. ; Mon-López, Daniel ; et al.
International Journal of Performance Analysis in Sport. Jun2024, Vol. 24 Issue 3, p204-217. 14p.

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105

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106

Infinite Story
Piech, Chris ; Sahami, Mehran ; Alonso, Yasmine ; et al.
Proceedings of the 56th ACM Technical Symposium on Computer Science Education V. 2. :1750-1750

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107

Supervised Learning
Igual, Laura ; Seguí, Santi ; Mackie, Ian, Series editor ; et al.
Introduction to Data Science : A Python Approach to Concepts, Techniques and Applications. :67-96

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108

On lazy evaluation as a tool to optimize the efficiency of large scale numerical simulations in Python
Gross, L. ; Amirbekyan, A. ; Fenwick, J. ; et al.
Procedia Computer Science. May2010, Vol. 1 Issue 1, p2139-2147. 9p.

Python programming langu... Computer science Finite element method Partial differential equ...
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109

Research on Flipped Classroom Teaching Model and Learning Evaluation Based on Big Data
Li, Lingxue ; Deng, Shan ; Li, Xueping
Proceeding of the 2024 International Conference on Artificial Intelligence and Future Education. :166-172

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110

Practical Optimization Examples with Python
Monteiro, Wellington Rodrigo ; Meza, Gilberto Reynoso ; Monteiro, Wellington Rodrigo ; et al.
A Practical Guide to Optimization in Engineering and Data Science. :261-324

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111

Prediction of IPO performance from prospectus using multinomial logistic regression, a machine learning model
Mazin Fahad Alahmadi ; Mustafa Tahsin Yilmaz
Data Science in Finance and Economics, Vol 5, Iss 1, Pp 105-135 (2025)

initial public offering... machine learning algorit... multinomial logistic reg... performance python Finance …
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112

Personalized Learning Based on Multimodal AI and Driven by Artificial Intelligence
Xu, Beibei
Proceedings of the 2nd Guangdong-Hong Kong-Macao Greater Bay Area Education Digitalization and Computer Science International Conference. :127-131

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113

Performance Evaluation of WFS Service Consumption with Python and Cython
Sánchez, Javier Felipe Moncada ; Gómez, Yenny Espinosa ; Marín, Carlos Enrique Montenegro ; et al.
Data Science and Network Engineering : Proceedings of ICDSNE 2025. 1668:278-290

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114

Python data structures and algorithms
Python data structures and algorithms (v)
Packt Publishing, production company. ; Garg, Harish, author, speaker. ; Lakshmanswamy, Mithun, author, speaker.

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115

Discovering Parallelisms in Python Programs
Wei, Siwei ; Song, Guyang ; Zhu, Senlin ; et al.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering. :832-844

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116

Groundwater Level Prediction Through Machine Learning and Its Interpretation Through Explainable AI Using Soil Properties
Poddar, Koustub ; Kate, Vandana ; Bansal, Chanchal ; et al.
Data Science and Big Data Analytics : Proceedings of IDBA 2025, Volume 1. 55:59-75

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117

Object-oriented programming with Python : a practical guide
OOPS
Unwired Learning (Firm), production company. ; Sarda, Shubham, speaker.

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118

Research on the Path of Supply-Side Reform of Meteorological Services under the Perspective of New Quality Productive Forces--Based on the Analysis of LDA Topic Model
Wu, Yuxin ; Guo, Xirong ; Bu, Sen ; et al.
Proceedings of the 2025 2nd International Conference on Big Data and Digital Management. :26-30

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119

Practical Aspects in Machine Learning
Gupta, Pramod ; Sehgal, Naresh Kumar ; Acken, John M. ; et al.
Introduction to Machine Learning with Security : Theory and Practice Using Python in the Cloud. :281-330

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120

Hands-on Python for finance
Packt Publishing, production company. ; Macarty, Matthew, author, speaker.

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