Search Results - (( (stat OR statement) python code analysis ) OR ( state python code analysis ))*

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  1. 1

    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
  2. 2

    LiPydomics: A Python Package for Comprehensive Prediction of Lipid Collision Cross Sections and Retention Times and Analysis of Ion Mobility-Mass Spectrometry-Based Lipidomics Data by Ross, Dylan H, Cho, Jang Ho, Zhang, Rutan, Hines, Kelly M, Xu, Libin

    ISSN: 1520-6882, 1520-6882
    Published: United States 17.11.2020
    Published in Analytical chemistry (Washington) (17.11.2020)
    “… Existing solutions for these data analysis challenges (i.e., multivariate statistics and lipid identification…”
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    Journal Article
  3. 3

    Detecting Memory Errors in Python Native Code by Tracking Object Lifecycle with Reference Count by Ma, Xutong, Yan, Jiwei, Zhang, Hao, Yan, Jun, Zhang, Jian

    ISSN: 2643-1572
    Published: IEEE 11.09.2023
    “… To detect such problems, state-of-the-art approaches have made groundbreaking contributions to identifying inappropriate final refcount values before returning from native code to Python…”
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    Conference Proceeding
  4. 4

    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
    “…, function-level or statement-level code generation), which mainly asks LLMs to generate one single code unit (e.g…”
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    Conference Proceeding
  5. 5

    Decoding the JAK-STAT Axis in Colorectal Cancer with AI-HOPE-JAK-STAT: A Conversational Artificial Intelligence Approach to Clinical–Genomic Integration by Yang, Ei-Wen, Waldrup, Brigette, Velazquez-Villarreal, Enrique

    ISSN: 2072-6694, 2072-6694
    Published: Switzerland MDPI AG 17.07.2025
    Published in Cancers (17.07.2025)
    “…: AI-HOPE-JAK-STAT combines large language models (LLMs), a natural language-to-code engine, and harmonized public CRC datasets from cBioPortal…”
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    Journal Article
  6. 6

    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
  7. 7

    Robustness Analysis of Watermarking Techniques for LLM-Generated Code by Cao, Di, Liu, Shigang, Zhang, Jun, Xiang, Yang

    ISSN: 2576-3156, 2576-3156
    Published: IEEE 01.12.2025
    Published in IEEE networking letters (01.12.2025)
    “… This work systematically evaluates two state-of-the-art watermarking paradigms: SWEET, which embeds token-level statistical biases, and CodeMark, which leverages semantic-preserving transformations at the statement level…”
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    Journal Article
  8. 8

    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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    Journal Article
  9. 9

    Artificial intelligence programming with Python: from zero to hero by Xiao, Perry

    ISBN: 1119820863, 9781119820864, 1119820944, 9781119820949
    Published: Hoboken Wiley 2022
    “…A hands-on roadmap to using Python for artificial intelligence programming In Practical Artificial Intelligence Programming with Python…”
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    eBook Book
  10. 10

    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
  11. 11

    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
  12. 12

    Word Level Language Identification from Social Media Code-Mixed Data Leveraging Transformer-Based Models by Chanda, Supriya, Pal, Sukomal

    ISSN: 2661-8907, 2662-995X, 2661-8907
    Published: Singapore Springer Nature Singapore 01.10.2025
    Published in SN computer science (01.10.2025)
    “…Code-mixing is mixing of two or more languages in a statement or a conversation. Multilingual communities all over the world often use this on a regular basis, especially during communication in social media…”
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    Journal Article
  13. 13

    Towards Identifying Code Proficiency Through the Analysis of Python Textbooks by Rojpaisarnkit, Ruksit, Robles, Gregorio, Kula, Raula Gaikovina, Wang, Dong, Ragkhitwetsagul, Chaiyong, Gonzalez-Barahona, Jesus M., Matsumoto, Kenichi

    ISSN: 2576-3148
    Published: IEEE 06.10.2024
    “… This method involves assigning levels of competence to Python constructs-for instance, placing simple 'print' statements at the most basic level and abstract base classes at the most…”
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    Conference Proceeding
  14. 14

    Rhodium: Python Library for Many-Objective Robust Decision Making and Exploratory Modeling by Hadjimichael, Antonia, Gold, David, Hadka, David, Reed, Patrick

    ISSN: 2049-9647, 2049-9647
    Published: Ubiquity Press Ltd 09.06.2020
    Published in Journal of open research software (09.06.2020)
    “…Rhodium is an open source Python library for robust decision making (RDM), many-objective robust decision making (MORDM…”
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    Journal Article
  15. 15

    Pastas: Open Source Software for the Analysis of Groundwater Time Series by Collenteur, Raoul A., Bakker, Mark, Caljé, Ruben, Klop, Stijn A., Schaars, Frans

    ISSN: 0017-467X, 1745-6584, 1745-6584
    Published: Malden, US Blackwell Publishing Ltd 01.11.2019
    Published in Ground water (01.11.2019)
    “…), and the detection of trends and outliers. Pastas is a new and open source Python package for the analysis of hydrogeological time series…”
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    Journal Article
  16. 16

    Towards Identifying Code Proficiency through the Analysis of Python Textbooks by Rojpaisarnkit, Ruksit, Robles, Gregorio, Kula, Raula Gaikovina, Wang, Dong, Ragkhitwetsagul, Chaiyong, Gonzalez-Barahona, Jesus M, Matsumoto, Kenichi

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 05.08.2024
    Published in arXiv.org (05.08.2024)
    “… This method involves assigning levels of competence to Python constructs, for instance, placing simple 'print' statements at the most basic level and abstract base classes at the most…”
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    Paper
  17. 17

    exLong: Generating Exceptional Behavior Tests with Large Language Models by Zhang, Jiyang, Liu, Yu, Nie, Pengyu, Li, Junyi Jessy, Gligoric, Milos

    ISSN: 1558-1225
    Published: IEEE 26.04.2025
    “…Many popular programming languages, including C#, Java, and Python, support exceptions…”
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    Conference Proceeding
  18. 18

    ribofootPrinter: A precision python toolbox for analysis of ribosome profiling data by Kerkhofs, Kyra, Guydosh, Nicholas R

    ISSN: 2692-8205, 2692-8205
    Published: United States Cold Spring Harbor Laboratory Press 15.09.2025
    Published in bioRxiv (15.09.2025)
    “… We therefore introduce ribofootPrinter, a suite of Python tools designed to offer an accessible and modifiable set of code for analysis of data from ribosome profiling and related types of small RNA…”
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    Journal Article Paper
  19. 19

    Analysis methods and code for very high-precision mass measurements of unstable isotopes by Karthein, J., Atanasov, D., Blaum, K., Lunney, D., Manea, V., Mougeot, M.

    ISSN: 0010-4655, 1879-2944
    Published: Elsevier B.V 01.10.2021
    Published in Computer physics communications (01.10.2021)
    “…We present a robust analysis code developed in the Python language and incorporating libraries of the ROOT data analysis framework for the state-of-the-art mass spectrometry method called phase…”
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    Journal Article
  20. 20

    Solving Spatial Optimization Problems via Lagrangian Relaxation and Automatic Gradient Computation by Lei, Zhen, Lei, Ting L.

    ISSN: 2220-9964, 2220-9964
    Published: Basel MDPI AG 01.01.2025
    “…Spatial optimization is an integral part of GIS and spatial analysis. It involves making various decisions in space, ranging from the location of public facilities to vehicle routing and political districting…”
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    Journal Article