Výsledky vyhľadávania - (( state:ny python code analysis ) OR ( state python code analysis ))~

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  1. 1

    MEG and EEG data analysis with MNE-Python Autor Gramfort, Alexandre

    ISSN: 1662-453X, 1662-4548, 1662-453X
    Vydavateľské údaje: Switzerland Frontiers Research Foundation 26.12.2013
    Vydané v Frontiers in neuroscience (26.12.2013)
    “… As part of the MNE software suite, MNE-Python is an open-source software package that addresses this challenge by providing state-of-the-art algorithms implemented in Python that cover multiple…”
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    Journal Article
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    Domain Knowledge Matters: Improving Prompts with Fix Templates for Repairing Python Type Errors Autor Peng, Yun, Gao, Shuzheng, Gao, Cuiyun, Huo, Yintong, Lyu, Michael R.

    ISSN: 1558-1225
    Vydavateľské údaje: ACM 14.04.2024
    “…As a dynamic programming language, Python has become increasingly popular in recent years…”
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  3. 3

    Discovering Repetitive Code Changes in Python ML Systems Autor Dilhara, Malinda, Ketkar, Ameya, Sannidhi, Nikhith, Dig, Danny

    ISSN: 1558-1225
    Vydavateľské údaje: ACM 01.05.2022
    “… Despite the extraordinary rise in popularity of Python-based ML systems, they do not benefit from these advances…”
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  4. 4

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

    ISSN: 1558-1225
    Vydavateľské údaje: ACM 14.04.2024
    “…Recently, many large language models (LLMs) have been proposed, showing advanced proficiency in code generation…”
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  5. 5

    PyTy: Repairing Static Type Errors in Python Autor Chow, Yiu Wai, Di Grazia, Luca, Pradel, Michael

    ISSN: 1558-1225
    Vydavateľské údaje: ACM 14.04.2024
    “… As more and more code bases get type-annotated, static type checkers detect an increasingly large number of type errors…”
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  6. 6

    A Python Instrument Control and Data Acquisition Suite for Reproducible Research Autor Koerner, Lucas J., Caswell, Thomas A., Allan, Daniel B., Campbell, Stuart I.

    ISSN: 0018-9456, 1557-9662
    Vydavateľské údaje: New York IEEE 01.04.2020
    “… The National Synchrotron Light Source-II (NSLS-II) has generated an open-source Python data acquisition, management, and analysis software suite that automates X-ray…”
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  7. 7

    SpotFlow: Tracking Method Calls and States at Runtime Autor Hora, Andre

    ISSN: 2574-1934
    Vydavateľské údaje: ACM 14.04.2024
    “… In this paper, we propose SpotFlow, a tool to ease the runtime analysis of Python programs. With Spot-Flow, practitioners and researchers can easily extract information…”
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  8. 8

    CoverUp: Effective High Coverage Test Generation for Python Autor Altmayer Pizzorno, Juan, Berger, Emery D.

    ISSN: 2994-970X, 2994-970X
    Vydavateľské údaje: New York, NY, USA ACM 19.06.2025
    “… We evaluate our prototype CoverUp implementation across a benchmark of challenging code derived from open-source Python projects and show that CoverUp substantially improves on the state of the art…”
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  9. 9

    SNPAAMapper-Python: A highly efficient genome-wide SNP variant analysis pipeline for Next-Generation Sequencing data Autor Li, Chang, Ma, Kevin, Xu, Nicole, Fu, Chenjian, He, Andrew, Liu, Xiaoming, Bai, Yongsheng

    ISSN: 2624-8212, 2624-8212
    Vydavateľské údaje: Frontiers Media S.A 12.09.2022
    Vydané v Frontiers in artificial intelligence (12.09.2022)
    “… In this study, we updated SNPAAMapper, a variant annotation pipeline by converting perl codes to python for generating annotation output with an improved computational efficiency and updated…”
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  10. 10

    Bloat beneath Python’s Scales: A Fine-Grained Inter-Project Dependency Analysis Autor Drosos, Georgios-Petros, Sotiropoulos, Thodoris, Spinellis, Diomidis, Mitropoulos, Dimitris

    ISSN: 2994-970X, 2994-970X
    Vydavateľské údaje: New York, NY, USA ACM 12.07.2024
    “… In this work, we conduct a large-scale, fine-grained analysis to understand bloated dependency code in the PyPI ecosystem…”
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    Inspect4py: A Knowledge Extraction Framework for Python Code Repositories Autor Filgueira, Rosa, Garijo, Daniel

    ISSN: 2574-3864
    Vydavateľské údaje: ACM 01.05.2022
    “…This work presents inspect4py, a static code analysis framework designed to automatically extract the main features, metadata and documentation of Python code repositories…”
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  12. 12

    Unleashing the Giants: Enabling Advanced Testing for Infrastructure as Code Autor Sokolowski, Daniel, Spielmann, David, Salvaneschi, Guido

    ISSN: 2574-1934
    Vydavateľské údaje: ACM 14.04.2024
    “…Infrastructure as Code (IaC) programs are written in imperative programming languages like Python or TypeScript while declar-atively defining the target state of software deployments, which the IaC solution then sets up, e.g…”
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  13. 13

    Kubernetes for Developers Autor Joseph Heck

    ISBN: 1788834755, 9781788834759
    Vydavateľské údaje: Packt Publishing 06.04.2018
    “… In 'Kubernetes for Developers,' you'll learn essential Kubernetes concepts and master practical skills to containerize, run, and manage your code…”
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    E-kniha
  14. 14

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

    ISSN: 0010-4655, 1879-2944
    Vydavateľské údaje: Elsevier B.V 01.10.2021
    Vydané v 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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    Restoring Reproducibility of Jupyter Notebooks Autor Wang, Jiawei, Kuo, Tzu-yang, Li, Li, Zeller, Andreas

    Vydavateľské údaje: ACM 01.10.2020
    “…Jupyter notebooks-documents that contain live code, equations, visualizations, and narrative text-now are among the most popular means to compute, present, discuss and disseminate scientific findings…”
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  16. 16

    Computational Tools for the Multiscale Analysis of Hi-C Data in Bacterial Chromosomes Autor Varoquaux, Nelle, Lioy, Virginia S, Boccard, Frédéric, Junier, Ivan

    ISSN: 1940-6029, 1940-6029
    Vydavateľské údaje: United States 2022
    “… Our objective is twofold. On the one hand, we aim at providing a full, understandable Python/Jupyter-based code which can be used by both computer scientists and biologists with no advanced computational background…”
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    A Study of Large Language Models in Detecting Python Code Violations Autor Mohammed Salih, Hekar A., Sarhan, Qusay I.

    ISSN: 2410-9355, 2307-549X
    Vydavateľské údaje: Koya University 01.10.2025
    Vydané v 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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    MolProbity: More and better reference data for improved all‐atom structure validation Autor Williams, Christopher J., Headd, Jeffrey J., Moriarty, Nigel W., Prisant, Michael G., Videau, Lizbeth L., Deis, Lindsay N., Verma, Vishal, Keedy, Daniel A., Hintze, Bradley J., Chen, Vincent B., Jain, Swati, Lewis, Steven M., Arendall, W. Bryan, Snoeyink, Jack, Adams, Paul D., Lovell, Simon C., Richardson, Jane S., Richardson, David C.

    ISSN: 0961-8368, 1469-896X, 1469-896X
    Vydavateľské údaje: United States Wiley Subscription Services, Inc 01.01.2018
    Vydané v Protein science (01.01.2018)
    “… There have been many infrastructure improvements, including rewrite of previous Java utilities to now use existing or newly written Python utilities in the open…”
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    Lost in Translation: A Study of Bugs Introduced by Large Language Models While Translating Code Autor Pan, Rangeet, Ibrahimzada, Ali Reza, Krishna, Rahul, Sankar, Divya, Wassi, Lambert Pougeum, Merler, Michele, Sobolev, Boris, Pavuluri, Raju, Sinha, Saurabh, Jabbarvand, Reyhaneh

    ISSN: 1558-1225
    Vydavateľské údaje: ACM 14.04.2024
    “… The prerequisite for advancing the state of LLM-based code translation is to understand their promises and limitations over existing techniques…”
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    Detecting and Explaining Anomalies Caused by Web Tamper Attacks via Building Consistency-based Normality Autor Liao, Yifan, Xu, Ming, Lin, Yun, Teoh, Xiwen, Xie, Xiaofei, Feng, Ruitao, Liauw, Frank, Zhang, Hongyu, Dong, Jin Song

    ISSN: 2643-1572
    Vydavateľské údaje: ACM 27.10.2024
    “… However, their frontend can be manipulable by the clients (e.g., the frontend code can be modified to bypass some validation steps…”
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