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  1. 1

    PyCG: Practical Call Graph Generation in Python by Salis, Vitalis, Sotiropoulos, Thodoris, Louridas, Panos, Spinellis, Diomidis, Mitropoulos, Dimitris

    ISBN: 1665402962, 9781665402965
    ISSN: 1558-1225
    Published: IEEE 01.05.2021
    “… We propose a pragmatic, static approach for call graph generation in Python. We compute all assignment relations between program identifiers of functions, variables, classes, and modules through an inter-procedural analysis…”
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    Conference Proceeding
  2. 2

    A Study of Large Language Models in Detecting Python Code Violations by Mohammed Salih, Hekar A., Sarhan, Qusay I.

    ISSN: 2410-9355, 2307-549X
    Published: Koya University 01.10.2025
    Published in ARO (Koya) (01.10.2025)
    “… Common static code analysis tools for Python, such as Pylint and Flake8, are widely used to enforce code quality by detecting coding violations without executing the code…”
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    Journal Article
  3. 3

    Evaluating Large Language Models in Class-Level Code Generation by Du, Xueying, Liu, Mingwei, Wang, Kaixin, Wang, Hanlin, Liu, Junwei, Chen, Yixuan, Feng, Jiayi, Sha, Chaofeng, Peng, Xin, Lou, Yiling

    ISSN: 1558-1225
    Published: ACM 14.04.2024
    “…Recently, many large language models (LLMs) have been proposed, showing advanced proficiency in code generation…”
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    Conference Proceeding
  4. 4

    NeuroPycon: An open-source python toolbox for fast multi-modal and reproducible brain connectivity pipelines by Meunier, David, Pascarella, Annalisa, Altukhov, Dmitrii, Jas, Mainak, Combrisson, Etienne, Lajnef, Tarek, Bertrand-Dubois, Daphné, Hadid, Vanessa, Alamian, Golnoush, Alves, Jordan, Barlaam, Fanny, Saive, Anne-Lise, Dehgan, Arthur, Jerbi, Karim

    ISSN: 1053-8119, 1095-9572, 1095-9572
    Published: United States Elsevier Inc 01.10.2020
    Published in NeuroImage (Orlando, Fla.) (01.10.2020)
    “… NeuroPycon is an open-source multi-modal brain data analysis toolkit which provides Python-based template pipelines for advanced multi-processing of MEG, EEG, functional and anatomical MRI data…”
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    Journal Article
  5. 5

    mesas.py v1.0: a flexible Python package for modeling solute transport and transit times using StorAge Selection functions by Harman, Ciaran J., Xu Fei, Esther

    ISSN: 1991-9603, 1991-959X, 1991-962X, 1991-9603, 1991-962X
    Published: Katlenburg-Lindau Copernicus GmbH 19.01.2024
    Published in Geoscientific Model Development (19.01.2024)
    “…, and in the transport dynamics. SAS is currently the state-of-the-art approach to interpreting tracer transport…”
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    Journal Article
  6. 6

    Hitac: a hierarchical taxonomic classifier for fungal ITS sequences compatible with QIIME2 by Miranda, Fábio M., Azevedo, Vasco C., Ramos, Rommel J., Renard, Bernhard Y., Piro, Vitor C.

    ISSN: 1471-2105, 1471-2105
    Published: London BioMed Central 02.07.2024
    Published in BMC bioinformatics (02.07.2024)
    “…Background Fungi play a key role in several important ecological functions, ranging from organic matter decomposition to symbiotic associations with plants…”
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    Journal Article
  7. 7

    Percolation theory using Python by Malthe-Sørenssen, Anders

    ISBN: 3031598997, 9783031598999, 3031599004, 9783031599002
    Published: Cham Springer 2024
    “… Readers will learn how to generate, analyze, and comprehend data and models, with detailed theoretical discussions complemented by accessible computer codes…”
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    eBook Book
  8. 8

    Understanding the Robustness of Transformer-Based Code Intelligence via Code Transformation: Challenges and Opportunities by Li, Yaoxian, Qi, Shiyi, Gao, Cuiyun, Peng, Yun, Lo, David, Lyu, Michael R., Xu, Zenglin

    ISSN: 0098-5589, 1939-3520
    Published: New York IEEE 01.02.2025
    Published in IEEE transactions on software engineering (01.02.2025)
    “…Transformer-based models have demonstrated state-of-the-art performance in various intelligent coding tasks such as code comment generation and code completion…”
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    Journal Article
  9. 9

    Integrated reliability analysis procedure for spatially variable soil slopes using recursive FORM algorithm enhanced by importance sampling: Abaqus via Python implementations by Ji, Jian, Liao, Wenwang, Hu, Yining, Lü, Qing

    ISSN: 1749-9518, 1749-9526
    Published: Taylor & Francis 02.04.2024
    Published in Georisk (02.04.2024)
    “… The improved Hasofer-Lind-Rackwitz-Fiessler (iHLRF) recursive algorithm is adopted to implement the FORM procedure when coupled with finite element codes for slope stability analysis, and the KL is used to reduce the dimension of random variables…”
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    Journal Article
  10. 10

    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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    eBook
  11. 11

    Single-cell sequencing to multi-omics: technologies and applications by Wu, Xiangyu, Yang, Xin, Dai, Yunhan, Zhao, Zihan, Zhu, Junmeng, Guo, Hongqian, Yang, Rong

    ISSN: 2050-7771, 2050-7771
    Published: London BioMed Central 27.09.2024
    Published in Biomarker research (27.09.2024)
    “… Single-cell RNA sequencing (scRNA-seq) is revolutionizing biomedical science by analyzing cellular state and intercellular heterogeneity…”
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    Journal Article
  12. 12

    PyPIMalDet: A malicious PyPI package detection method combining code features and metadata features by Yan, Jiale, Zhao, Bo

    ISSN: 0893-6080, 1879-2782, 1879-2782
    Published: United States Elsevier Ltd 01.05.2026
    Published in Neural networks (01.05.2026)
    “… Given the vast number of software packages and frequent updates on PyPI, existing detection methods based on dynamic analysis or large language models are computationally and time-consuming…”
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    Journal Article
  13. 13

    Leveraging Python to Process Cross-Cultural Temperament Interviews: A Novel Platform for Text Analysis by Underwood, Joshua J., Kirchhoff, Cornelia, Warwick, Haven, Gartstein, Maria A.

    ISSN: 0022-0221, 1552-5422
    Published: Los Angeles, CA SAGE Publications 01.02.2020
    Published in Journal of cross-cultural psychology (01.02.2020)
    “… Specifically, we used Python natural language processing capabilities to analyze semistructured temperament interviews conducted with U.S…”
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    Journal Article
  14. 14

    BGC-val: a model- and grid-independent Python toolkit to evaluate marine biogeochemical models by de Mora, Lee, Yool, Andrew, Palmieri, Julien, Sellar, Alistair, Kuhlbrodt, Till, Popova, Ekaterina, Jones, Colin, Allen, J. Icarus

    ISSN: 1991-9603, 1991-959X, 1991-962X, 1991-9603, 1991-962X
    Published: Katlenburg-Lindau Copernicus GmbH 17.10.2018
    Published in Geoscientific Model Development (17.10.2018)
    “…The biogeochemical evaluation toolkit, BGC-val, is a model- and grid-independent Python toolkit that has been built to evaluate marine biogeochemical models using a simple interface…”
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    Journal Article
  15. 15

    PeptideBuilder: A simple Python library to generate model peptides by Tien, Matthew Z., Sydykova, Dariya K., Meyer, Austin G., Wilke, Claus O.

    ISSN: 2167-8359, 2167-8359
    Published: United States PeerJ. Ltd 21.05.2013
    Published in PeerJ (San Francisco, CA) (21.05.2013)
    “… For example, using our library, one can generate a model of a set of amino acids in a specific conformation using just a few lines of python code…”
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    Journal Article
  16. 16

    Mathematical Modeling in Systems Biology

    ISBN: 9783036590370, 3036590374, 3036590366, 9783036590363
    Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
    “…The reprint presents a collection of systems biology-related topics and new studies that utilize computational, mathematical, and systems-oriented approaches…”
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    eBook
  17. 17

    From code to reliability: Python-powered Paraconsistent Logic for alarm detection in the power gris/ Do codigo a confiabilidade: Logica Paraconsistente impulsionada por Python para a deteccao de alarmes na rede de energia by de Oliveira, Joseffe Barroso, Gino, Joao Vitor Santa Rosa, de Lima, Carlos Jose, Filho, Joao Inacio da Silva

    ISSN: 2178-9010, 2178-9010
    Published: Sindicato das Secretarias e Secretarios do Estado de Sao Paulo 01.10.2023
    Published in GeSec : Revista de Gestão e Secretariado (01.10.2023)
    “… This application enables the comparison of triggered alarms with the resultant logical states obtained during the analysis…”
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    Journal Article
  18. 18

    Raw Data to Results: A Hands-On Introduction and Overview of Computational Analysis for Single-Molecule Localization Microscopy by Martens, Koen J. A., Turkowyd, Bartosz, Endesfelder, Ulrike

    ISSN: 2673-7647, 2673-7647
    Published: Frontiers Media S.A 01.02.2022
    Published in Frontiers in bioinformatics (01.02.2022)
    “… Importantly, user-friendly, ready-to-use and well-documented code in Python and MATLAB with exemplary data is provided as an interactive experience for the reader, as well as a starting…”
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    Journal Article
  19. 19

    BASIN-3D: A brokering framework to integrate diverse environmental data by Varadharajan, Charuleka, Hendrix, Valerie C., Christianson, Danielle S., Burrus, Madison, Wong, Catherine, Hubbard, Susan S., Agarwal, Deborah A.

    ISSN: 0098-3004, 1873-7803
    Published: United Kingdom Elsevier Ltd 01.02.2022
    Published in Computers & geosciences (01.02.2022)
    “…Diverse observational and simulation datasets are needed to understand and predict complex ecosystem behavior over seasonal to decadal and century time-scales…”
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    Journal Article
  20. 20

    MultiNMRFit: a software to fit 1D and pseudo-2D NMR spectra by Millard, Pierre, Le Grégam, Loïc, Dubiley, Svetlana, Gabrielli, Valeria, Gosselin-Monplaisir, Thomas, Lippens, Guy, Charlier, Cyril

    ISSN: 1367-4811, 1367-4803, 1367-4811
    Published: England Oxford University Press 01.09.2025
    Published in Bioinformatics (Oxford, England) (01.09.2025)
    “…Abstract Motivation Nuclear Magnetic Resonance (NMR) is widely used for quantitative analysis of metabolic systems…”
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    Journal Article