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121

PAReTT: A Python Package for the Automated Retrieval and Management of Divergence Time Data from the TimeTree Resource for Downstream Analyses
Le Clercq, Louis-Stéphane ; Kotzé, Antoinette ; Grobler, J. Paul ; et al.
Journal of Molecular Evolution. 91(4):502-513

Research PAReTT PYTHON Time trees Divergence time Timelines …
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122

RESEARCH ON INFORMATION REPRINTING CHARACTERISTICS OF TECHNOLOGY SHARING WECHAT OFFICIAL ACCOUNT-TAKING 'PYTHON' AS AN EXAMPLE
Wenhui Lyu ; Albattat Ahmad ; Mingxia Wei ; et al.
Proceedings on Engineering Sciences, Vol 7, Iss 2, Pp 1355-1366 (2025)

python social media wechat TA1-2040 Engineering (General). C...
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124

Automated Settlement Prediction of Shallow Foundations Using Pushed-in PENCEL Pressuremeter Data and Briaud’s Method: A Python Framework
Ygzaw, Brhane W. ; Cosentino, Paul J.
Geotechnical and Geological Engineering: An International Journal. 43(9)

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125

Differential expression analysis with inmoose, the integrated multi-omic open-source environment in Python
Colange, Maximilien ; Appé, Guillaume ; Meunier, Léa ; et al.
BMC Bioinformatics. 26(1)

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126

Optimizing survey conditions for Burmese python detection and removal using community science data
McCaffrey, Kelly R. ; Miller, Melissa A. ; Balaguera-Reina, Sergio A. ; et al.
Scientific Reports. 15(1)

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128

Python algorithm package for automated Estimation of major legume root traits using two dimensional images
Ghimire, Amit ; Chung, Yong Suk ; Jeong, Sungmoon ; et al.
Scientific Reports. 15(1)

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129

PhotoHolmes: a Python library for forgery detection in digital images
O’Flaherty, Julián ; Paganini, Rodrigo ; Sotelo, Juan Pablo ; et al.
Multimedia Tools and Applications: An International Journal. 84(28):34021-34045

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131

Student Result Analysis System Using Python Libraries
Ashrafi, Mudassir ; Bhonslay, Varun ; Khamkar, Prasad ; et al.
New Horizons of Science. 3:77-85

[INFO.EIAH]Computer Scie... Technology for Human Lea...
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132

A Standardized Threshold Approach for Outlier Detection Using Python Algorithms
Alhashami, Zahir Saif ; Ministry of Education, Oman.
Mathematics and Computer Science: Research Updates Vol.Mathematics and Computer Science: Research Updates Vol. 6. 6:15-33

[MATH]Mathematics [math]
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133

A Framework Utilizing a Seamless Integration of Python with AspenPlus� for a Multi-Criteria Process Evaluation
Maier, Simon ; Weyand, Julia ; Kaur, Ginif ; et al.
Systems and Control Transactions. 4:1631-1636

Aspen Plus Life Cycle As...
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134

A Python/Numpy-based package to support model discrimination and identification
Tabrizi, Seyed Zuhair Bolourchian ; Barbera, Elena ; Silva, Wilson Ricardo Leal da ; et al.
Systems and Control Transactions. 4:1282-1287

model calibration, model...
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135

Physics in Python Course at Zagreb University of Applied Sciences
Horvat, Dubravko ; Kuić, Domagoj ; Knapp, Alemka ; et al.
International Journal of Innovative Research in Multidisciplinary Education.

education physics course, Python,... Physics course physics course Python
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136

Improving Computational Thinking for Middle School Students through Python Programming: Interaction Effect Analysis of Grade Level and Gender
Lihui Sun ; Junjie Liu
28

Computation Thinking Skills Skill Development Middle School Students Programming Programming Languages …
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137

noisemonitor: A Python Package For Sound Level Monitor Analysis
Fraisse, Valérian ; Schulich School of Music [Montréal] ; McGill University = Université McGill [Montréal, Canada] ; et al.
Acoustics Week in Canada, Canadian Acoustics, Oct 2023, Montréal Québec, Canada

Montréal Québec, Canada... Sound level monitoring sound environment python [SPI.ACOU]Engineering Sc... Acoustics [physics.class...
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138

XLM: A Python package for non-autoregressive language models
Patel, Dhruvesh ; Maram, Durga Prasad ; Chintha, Sai Sreenivas ; et al.

Computation and Language
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139

retinalysis-fundusprep: A python package for robust color fundus image bounds extraction
Quiros, Jose Vargas ; Liefers, Bart ; van Garderen, Karin ; et al.

Other Quantitative Biolo...
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140

gridfm-datakit-v1: A Python Library for Scalable and Realistic Power Flow and Optimal Power Flow Data Generation
Puech, Alban ; Mazzonelli, Matteo ; Cintas, Celia ; et al.

Machine Learning Artificial Intelligence Systems and Control Optimization and Control
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