Výsledky vyhledávání - (( (state OR state:mn) python code analysis ) OR ( statement python code analysis ))*

  1. 1

    Python Data Analyst's Toolkit - Learn Python and Python-Based Libraries with Applications in Data Analysis and Statistics Autor Rajagopalan, Gayathri

    ISBN: 9781484263983, 1484263987, 9781484263990, 1484263995
    Vydáno: Berkeley, CA Apress, an imprint of Springer Nature 2021
    “… The code is presented in Jupyter notebooks that can further be adapted and extended. This book is divided into three parts - programming with Python, data analysis and visualization, and statistics…”
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    E-kniha Kniha
  2. 2

    Assessing code readability in Python programming courses using eye‐tracking Autor Segedinac, Milan, Savić, Goran, Zeljković, Ivana, Slivka, Jelena, Konjović, Zora

    ISSN: 1061-3773, 1099-0542
    Vydáno: Hoboken Wiley Subscription Services, Inc 01.01.2024
    “… This paper assesses the readability of Python code statements commonly used in undergraduate programming courses…”
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    Journal Article
  3. 3

    CpGtools: a python package for DNA methylation analysis Autor Wei, Ting, Nie, Jinfu, Larson, Nicholas B, Ye, Zhenqing, Eckel-Passow, Jeanette E, Robertson, Keith D, Kocher, Jean-Pierre A, Wang, Liguo

    ISSN: 1367-4803, 1367-4811, 1367-4811
    Vydáno: England Oxford University Press 12.07.2021
    Vydáno v Bioinformatics (Oxford, England) (12.07.2021)
    “…Abstract Motivation DNA methylation can be measured at the single CpG level using sodium bisulfite conversion of genomic DNA followed by sequencing or array…”
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    Journal Article
  4. 4

    Mitigating the Uncertainty and Imprecision of Log-Based Code Coverage Without Requiring Additional Logging Statements Autor Xu, Xiaoyan, Cogo, Filipe R., McIntosh, Shane

    ISSN: 0098-5589, 1939-3520
    Vydáno: New York IEEE 01.09.2024
    “…Understanding code coverage is an important precursor to software maintenance activities (e.g., better testing…”
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    Journal Article
  5. 5

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

    ISSN: 0017-467X, 1745-6584, 1745-6584
    Vydáno: Malden, US Blackwell Publishing Ltd 01.11.2019
    Vydáno v 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
  6. 6

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

    ISSN: 2643-1572
    Vydáno: 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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    Konferenční příspěvek
  7. 7

    GraphPyRec: A novel graph-based approach for fine-grained Python code recommendation Autor Zong, Xing, Zheng, Shang, Zou, Haitao, Yu, Hualong, Gao, Shang

    ISSN: 0167-6423
    Vydáno: Elsevier B.V 01.12.2024
    Vydáno v Science of computer programming (01.12.2024)
    “… Significant progress has been made in code recommendation for static languages in recent years, but it remains challenging for dynamic languages like Python as accurately determining data flows…”
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    Journal Article
  8. 8

    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
    Vydáno: 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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  9. 9

    Stress-Constrained Topology Optimization for Commercial Software: A Python Implementation for ABAQUS Autor Fernandes, Pedro, Ferrer, Àlex, Gonçalves, Paulo, Parente, Marco, Pinto, Ricardo, Correia, Nuno

    ISSN: 2076-3417, 2076-3417
    Vydáno: Basel MDPI AG 01.12.2023
    Vydáno v Applied sciences (01.12.2023)
    “…, using validated FEM commercial software. The methodology was validated by comparing the sensitivity analysis with the results obtained through finite differences and solving two benchmark problems with the following optimizers…”
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    Journal Article
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    Environmental and health risk assessment of polycyclic aromatic hydrocarbons and toxic elements in the red sea using Monte Carlo simulation Autor Sayed, F. Alshaima, Eid, Mohamed Hamdy, El-Sherbeeny, Ahmed M., Abdel-Gawad, Gouda Ismail, Mohamed, Essam A., Abukhadra, Mostafa R.

    ISSN: 2045-2322, 2045-2322
    Vydáno: London Nature Publishing Group UK 03.02.2025
    Vydáno v Scientific reports (03.02.2025)
    “…This research evaluates the environmental and health risks linked to potentially toxic elements (PTEs) and PAHs along the western coast of the Gulf of Suez,…”
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    Journal Article
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    Quantifying the interpretation overhead of Python Autor Zhang, Qiang, Xu, Lei, Zhang, Xiangyu, Xu, Baowen

    ISSN: 0167-6423, 1872-7964
    Vydáno: Elsevier B.V 01.03.2022
    Vydáno v Science of computer programming (01.03.2022)
    “…•Quantitative overhead analysis for the Python interpreter based on sampling.•Overhead decomposition from both opcode and project composition perspectives…”
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    Journal Article
  12. 12

    Python for Everyone: Learn and polish your coding skills in Python (English Edition) Autor Saurabh Chandrakar, Dr. Nilesh Bhaskarrao Bahadure

    ISBN: 9789355518170, 935551817X
    Vydáno: Los Angeles BPB Publications 2023
    “…A hands-on guide that will help you to write clean and efficient code in Python Key Features…”
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    E-kniha
  13. 13

    Data Science Fundamentals with R, Python, and Open Data Autor Cremonini, Marco

    ISBN: 9781394213245, 1394213247
    Vydáno: Hoboken, New Jersey John Wiley & Sons 2024
    “…Introduction to essential concepts and techniques of the fundamentals of R and Python needed to start data science projectsOrganized with a strong focus on open data, This book discusses concepts…”
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    E-kniha Kniha
  14. 14

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

    ISSN: 2576-3156, 2576-3156
    Vydáno: IEEE 01.12.2025
    Vydáno v 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
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    Visualization of Aqueous Geochemical Data Using Python and WQChartPy Autor Yang, Jing, Liu, Honghua, Tang, Zhonghua, Peeters, Luk, Ye, Ming

    ISSN: 0017-467X, 1745-6584, 1745-6584
    Vydáno: Malden, US Blackwell Publishing Ltd 01.07.2022
    Vydáno v 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
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    Artificial intelligence programming with Python: from zero to hero Autor Xiao, Perry

    ISBN: 1119820863, 9781119820864, 1119820944, 9781119820949
    Vydáno: 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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    E-kniha Kniha
  17. 17

    ProPy: Prolog-based Fault Localization Tool for Python Autor Morin, Janneke, Ghosh, Krishnendu

    Vydáno: IEEE 01.03.2022
    “… By examining which statements of the program were executed in successful versus unsuccessful test cases, then extract insight into the "suspiciousness" of areas of the program…”
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  18. 18

    The Python workshop: a practical, no-nonsense introduction to Python development Autor Andrew Bird, Bird, Dr Lau Cher Han, Han, Mario Corchero Jimenez, Jimenez, Graham Lee, Lee, Corey Wade, Wade

    Vydáno: Packt Publishing 06.11.2019
    “…Cut through the noise and get real results with a step-by-step approach to learning Python 3…”
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    E-kniha
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    NAS Parallel Benchmarks with Python: a performance and programming effort analysis focusing on GPUs Autor Di Domenico, Daniel, Lima, João V. F., Cavalheiro, Gerson G. H.

    ISSN: 0920-8542, 1573-0484, 1573-0484
    Vydáno: New York Springer US 01.05.2023
    Vydáno v The Journal of supercomputing (01.05.2023)
    “… As a counterpoint to that trend, this paper presents a performance and programming effort analysis with Python, an interpreted and high-level language, which was applied to develop the kernels…”
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    Journal Article
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    Semi-Supervised Code Translation Overcoming the Scarcity of Parallel Code Data Autor Zhu, Ming, Karim, Mohimenul, Lourentzou, Ismini, Yao, Danfeng Daphne

    ISSN: 2643-1572
    Vydáno: ACM 27.10.2024
    “… MIRACLE leverages static analysis and compilation to generate synthetic parallel code datasets with enhanced quality and alignment to address the challenge of data scarcity…”
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