Výsledky vyhledávání - (( (statement OR stat) python code analysis ) OR ( (stateene OR statement) python code analysis ))

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  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
  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

    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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  4. 4

    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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  5. 5

    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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  6. 6

    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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  7. 7

    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
  8. 8

    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)
    “…The widespread adoption of large language models (LLMs) for code generation raises critical concerns regarding authorship attribution and accountability, motivating the development of watermarking techniques to trace model outputs…”
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  9. 9

    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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  10. 10

    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
  11. 11

    Learning to Generate Pseudo-Code from Source Code Using Statistical Machine Translation Autor Oda, Yusuke, Fudaba, Hiroyuki, Neubig, Graham, Hata, Hideaki, Sakti, Sakriani, Toda, Tomoki, Nakamura, Satoshi

    Vydáno: IEEE 01.11.2015
    “…Pseudo-code written in natural language can aid the comprehension of source code in unfamiliar programming languages…”
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  12. 12

    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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  13. 13

    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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  14. 14

    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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  15. 15

    Beyond Functional Correctness: An Empirical Evaluation of Large Language Models for Text-to-Code Generation Autor Nogueira, Rodrigo Pato, Vieira, Marco, Campos, Joao R.

    ISSN: 2332-6549
    Vydáno: IEEE 21.10.2025
    “…Large Language Models (LLMs) have become increasingly popular for text-to-code generation, a task that involves converting natural language descriptions into code…”
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  16. 16

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

    ISSN: 0098-5589, 1939-3520
    Vydáno: New York IEEE Computer Society 01.02.2025
    “… Specifically, 27 and 24 code transformation strategies are implemented for two popular programming languages, Java and Python, respectively…”
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  17. 17

    A Large-Scale Study of Test Coverage Evolution Autor Hilton, Michael, Bell, Jonathan, Marinov, Darko

    ISSN: 2643-1572
    Vydáno: ACM 01.09.2018
    “…Statement coverage is commonly used as a measure of test suite quality. Coverage is often used as a part of a code review process…”
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  18. 18

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

    ISSN: 2049-9647, 2049-9647
    Vydáno: Ubiquity Press Ltd 09.06.2020
    Vydáno v 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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    Towards Identifying Code Proficiency Through the Analysis of Python Textbooks Autor Rojpaisarnkit, Ruksit, Robles, Gregorio, Kula, Raula Gaikovina, Wang, Dong, Ragkhitwetsagul, Chaiyong, Gonzalez-Barahona, Jesus M., Matsumoto, Kenichi

    ISSN: 2576-3148
    Vydáno: 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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    Enhancing LLMs Interactions for Python: A Smart API Framework for Extracting and Utilizing Semantic Code Information Autor Ahmad, Nouman, Zhang, Changsheng

    Vydáno: IEEE 20.06.2025
    “… In order to recognize import statements, custom functions, and class declarations, as well as how they are used within modules and classes, our system uses libest to parse and analyze Python source files…”
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