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  1. 1
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    Cloud-Based Mechanical Design Oriented Python Program Development System by Yen, Jesse, Yen, Chia Ming

    ISBN: 9783038354604, 3038354600
    ISSN: 1660-9336, 1662-7482, 1662-7482
    Published: Zurich Trans Tech Publications Ltd 28.05.2015
    Published in Applied Mechanics and Materials (28.05.2015)
    “…In this paper, a mechanical design oriented Python program development system was created to assist engineers to manage their programming assets more efficiently…”
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  2. 2
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    A Python Class for Neutrosophic Morphology by Affe, Lorenzo, Nordo, Giorgio, Smarandache, Florentin

    ISSN: 2331-6055, 2331-608X
    Published: Neutrosophic Sets and Systems 01.03.2025
    Published in Neutrosophic sets and systems (01.03.2025)
    “…In this work, we introduce a Python class, named NSmorph, developed to facilitate image manipulation through neutrosophic morphological operations…”
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  3. 3
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    Generating Pell Numbers by Gao, Weizheng, Allagan, Julian, Gao, Shanzhen, Su, Jianning, Malomo, Olumide, Eyob, Ephrem, Adekoya, Adeyemi

    ISSN: 2769-5654
    Published: IEEE 13.12.2023
    “… We will discuss some properties, algorithms, and Python programs used to generate Pell numbers, conjectures, and applications of Pell numbers…”
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  4. 4
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    Visualization of Aqueous Geochemical Data Using Python and WQChartPy by Yang, Jing, Liu, Honghua, Tang, Zhonghua, Peeters, Luk, Ye, Ming

    ISSN: 0017-467X, 1745-6584, 1745-6584
    Published: Malden, US Blackwell Publishing Ltd 01.07.2022
    Published in Ground water (01.07.2022)
    “… This method note presents WQChartPy, an open‐source Python package developed to plot a total of 12 diagrams for analysis of aqueous geochemical data…”
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  5. 5
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    PySmash: Python package and individual executable program for representative substructure generation and application by Yang, Zi-Yi, Yang, Zhi-Jiang, Zhao, Yue, Yin, Ming-Zhu, Lu, Ai-Ping, Chen, Xiang, Liu, Shao, Hou, Ting-Jun, Cao, Dong-Sheng

    ISSN: 1467-5463, 1477-4054, 1477-4054
    Published: England 02.09.2021
    Published in Briefings in bioinformatics (02.09.2021)
    “…Substructure screening is widely applied to evaluate the molecular potency and ADMET properties of compounds in drug discovery pipelines, and it can also be…”
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  6. 6
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    Pygion: Flexible, Scalable Task-Based Parallelism with Python by Slaughter, Elliott, Aiken, Alex

    Published: IEEE 01.11.2019
    “…Dynamic languages provide the flexibility needed to implement expressive support for task-based parallel program- ming constructs…”
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  7. 7
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    The Python Software Quality Dataset by Moldovan, Vasilica-Andreea, Berciu, Liviu-Marian, Patcas, Rares-Danut

    ISSN: 2376-9521
    Published: IEEE 28.08.2024
    “…With Python's ascension as a dominant program-ming language, particularly in the fields of artificial intelligence and data science, the need for comprehensive datasets focusing on software quality…”
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  8. 8
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    Enhancing self‐directed learning and Python mastery through integration of a large language model and learning analytics dashboard by Liu, Ming, Wu, Zhongming, Dai, Haimin, Su, Yifei, Malik, Laiba, Liao, Jian, Zhang, Wei, Guo, Shuo, Liu, Li, Zhao, Junqiang

    ISSN: 0007-1013, 1467-8535
    Published: 13.08.2025
    Published in British journal of educational technology (13.08.2025)
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  9. 9
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    Python 3 Using ChatGPT/GPT-4 by Campesato, Oswald

    ISBN: 9781501522284, 1501522280
    Published: Herndon, VA Mercury Learning & Information 2024
    “… Chapter One begins with an introduction to fundamental aspects of Python programming, including various data types, number formatting, Unicode and UTF-8 handling, and text manipulation techniques…”
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  10. 10
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    Easy Leaf Area: Automated Digital Image Analysis for Rapid and Accurate Measurement of Leaf Area by Easlon, Hsien Ming, Bloom, Arnold J.

    ISSN: 2168-0450, 2168-0450
    Published: United States Botanical Society of America 01.07.2014
    Published in Applications in plant sciences (01.07.2014)
    “…Premise of the study: Measurement of leaf areas from digital photographs has traditionally required significant user input unless backgrounds are carefully…”
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  11. 11
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    PyAnalyzer: An Effective and Practical Approach for Dependency Extraction from Python Code by Jin, Wuxia, Xu, Shuo, Chen, Dawei, He, Jiajun, Zhong, Dinghong, Fan, Ming, Chen, Hongxu, Zhang, Huijia, Liu, Ting

    ISSN: 1558-1225
    Published: ACM 14.04.2024
    “… However, dynamic language features in Python make code behaviors obscure and nondeter-ministic…”
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  12. 12
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    MagneticKP: A package for quickly constructing k⋅p models of magnetic and non-magnetic crystals by Zhang, Zeying, Yu, Zhi-Ming, Liu, Gui-Bin, Li, Zhenye, Yang, Shengyuan A., Yao, Yugui

    ISSN: 0010-4655, 1879-2944
    Published: Elsevier B.V 01.09.2023
    Published in Computer physics communications (01.09.2023)
    “… Program title:MagneticKP CPC Library link to program files:https://doi.org/10.17632/pgnbjspy4f.1 Developer's repository…”
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  13. 13
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    Learning Python with Raspberry Pi by Alex Bradbury, Ben Everard

    ISBN: 9781118717035, 1118717031, 1118717058, 9781118717059, 9781118717028, 1118717023
    Published: Newark Wiley 2014
    “… This approachable book serves as an ideal resource for anyone wanting to use Raspberry Pi to learn to program and helps you get started with the Python programming language…”
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  14. 14
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    Statistics Using Python by Campesato, Oswald

    ISBN: 9781683928805, 1683928806
    Published: Berlin Mercury Learning and Information 2024
    “…This book is designed to offer a fast-paced yet thorough introduction to essential statistical concepts using Python code samples, and aims to assist data scientists in their daily endeavors…”
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  15. 15
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    The Use of Agricultural Unmanned Aerial Vehicles in the Russian Federation: Assessment of Consumer Preferences by Urasova, A. A., Glezman, L. V., Fedoseeva, S. S.

    ISSN: 2072-6414, 2411-1406
    Published: 2023
    Published in Ekonomika regiona (2023)
    “… To perform parsing analysis, a script in the Python programming language was created, which receives information about the number of search queries characterising the popularity of agricultural UAVs…”
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  16. 16
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    Enabling Type Checking on Columns in Data Frame Libraries by Abstract Interpretation by Zhuang, Yungyu, Lu, Ming-Yang

    ISSN: 2169-3536, 2169-3536
    Published: Piscataway IEEE 2022
    Published in IEEE access (2022)
    “…Data frames are a tabular data structure widely used in transforming data to an appropriate form in data analysis, especially in data wrangling. However, when…”
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  17. 17
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    Solving ordinary differential equations in python by Sundnes, Joakim

    ISBN: 3031467671, 9783031467677, 9783031467684, 303146768X
    Published: Cham Springer 2024
    “… as a class hierarchy in Python…”
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  18. 18
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    MIIND : A Model-Agnostic Simulator of Neural Populations by Osborne, Hugh, Lai, Yi Ming, Lepperød, Mikkel Elle, Sichau, David, Deutz, Lukas, de Kamps, Marc

    ISSN: 1662-5196, 1662-5196
    Published: Lausanne Frontiers Research Foundation 06.07.2021
    Published in Frontiers in neuroinformatics (06.07.2021)
    “…MIIND is a software platform for easily and efficiently simulating the behaviour of interacting populations of point neurons governed by any 1D or 2D dynamical…”
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  19. 19
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    Modeling and Verification of a Sentiment Analysis System Using Aspect-Oriented Petri Nets by Shu-Hung Yang, Yi-Nan Lin, Cheng-Ying Yang, Ming-Kuen Chen, Victor R.L.Shen, Yu-Wei Lin

    ISSN: 1674-862X
    Published: Department of Business Management,National Taipei University of Technology,Taipei 10608%Department of Electronic Engineering,Ming Chi University of Technology,New Taipei 24301%Department of Computer Science,University of Taipei,Taipei 100%Department of Information Management,Chaoyang University of Technology,Taichung 413%Department of Computer Science and Information Engineering,National Taipei University,New Taipei 23741 2022
    Published in 电子科技学刊 (2022)
    “…) to improve the examination correctness without changing any process and program. We collect those comments from the online reviews with Scrapy tools, perform sentiment…”
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  20. 20
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    Professional Python by Sneeringer, Luke

    ISBN: 1119070856, 9781119070856
    Published: Newark John Wiley & Sons, Incorporated 2015
    “…Master the secret tools every Python programmer needs to knowProfessional Python goes beyond the basics to teach beginner- and intermediate-level Python programmers the little-known tools and…”
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