Výsledky vyhľadávania - (( (stateene OR stat) python code analysis ) OR ( (statnet OR statement) python code analysis ))*

Alternativne vyhľadávanie:

  1. 1

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

    ISSN: 2072-6694, 2072-6694
    Vydavateľské údaje: Switzerland MDPI AG 17.07.2025
    Vydané v 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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    Introduction to computational causal inference using reproducible Stata, R, and Python code: A tutorial Autor Smith, Matthew J., Mansournia, Mohammad A., Maringe, Camille, Zivich, Paul N., Cole, Stephen R., Leyrat, Clémence, Belot, Aurélien, Rachet, Bernard, Luque‐Fernandez, Miguel A.

    ISSN: 0277-6715, 1097-0258, 1097-0258
    Vydavateľské údaje: England Wiley Subscription Services, Inc 30.01.2022
    Vydané v Statistics in medicine (30.01.2022)
    “…The main purpose of many medical studies is to estimate the effects of a treatment or exposure on an outcome. However, it is not always possible to randomize…”
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  3. 3

    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
    Vydavateľské údaje: 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
  4. 4

    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 Autor Ross, Dylan H, Cho, Jang Ho, Zhang, Rutan, Hines, Kelly M, Xu, Libin

    ISSN: 1520-6882
    Vydavateľské údaje: United States 17.11.2020
    Vydané v Analytical chemistry (Washington) (17.11.2020)
    “… Existing solutions for these data analysis challenges (i.e., multivariate statistics and lipid identification…”
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  5. 5

    Percolation theory using Python Autor Malthe-Sørenssen, Anders

    ISBN: 3031598997, 9783031598999, 3031599004, 9783031599002
    Vydavateľské údaje: 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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    E-kniha Kniha
  6. 6

    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
    Vydavateľské údaje: 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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  7. 7

    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
    Vydavateľské údaje: 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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  8. 8

    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
    Vydavateľské údaje: Elsevier B.V 01.12.2024
    Vydané 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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  9. 9

    Statistical analysis of feature-based molecular networking results from non-targeted metabolomics data Autor Pakkir Shah, Abzer K., Walter, Axel, Ottosson, Filip, Russo, Francesco, Navarro-Diaz, Marcelo, Boldt, Judith, Kalinski, Jarmo-Charles J., Kontou, Eftychia Eva, Elofson, James, Polyzois, Alexandros, González-Marín, Carolina, Farrell, Shane, Aggerbeck, Marie R., Pruksatrakul, Thapanee, Chan, Nathan, Wang, Yunshu, Pöchhacker, Magdalena, Brungs, Corinna, Cámara, Beatriz, Caraballo-Rodríguez, Andrés Mauricio, Cumsille, Andres, de Oliveira, Fernanda, Dührkop, Kai, El Abiead, Yasin, Geibel, Christian, Graves, Lana G., Hansen, Martin, Heuckeroth, Steffen, Knoblauch, Simon, Kostenko, Anastasiia, Kuijpers, Mirte C. M., Mildau, Kevin, Papadopoulos Lambidis, Stilianos, Portal Gomes, Paulo Wender, Schramm, Tilman, Steuer-Lodd, Karoline, Stincone, Paolo, Tayyab, Sibgha, Vitale, Giovanni Andrea, Wagner, Berenike C., Xing, Shipei, Yazzie, Marquis T., Zuffa, Simone, de Kruijff, Martinus, Beemelmanns, Christine, Link, Hannes, Mayer, Christoph, van der Hooft, Justin J. J., Damiani, Tito, Pluskal, Tomáš, Dorrestein, Pieter, Stanstrup, Jan, Schmid, Robin, Wang, Mingxun, Aron, Allegra, Ernst, Madeleine, Petras, Daniel

    ISSN: 1754-2189, 1750-2799, 1750-2799
    Vydavateľské údaje: London Nature Publishing Group UK 01.01.2025
    Vydané v Nature protocols (01.01.2025)
    “… We provide explanations and code in two scripting languages (R and Python) as well…”
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    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
    Vydavateľské údaje: Basel MDPI AG 01.12.2023
    Vydané 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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  11. 11

    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 Autor de Oliveira, Joseffe Barroso, Gino, Joao Vitor Santa Rosa, de Lima, Carlos Jose, Filho, Joao Inacio da Silva

    ISSN: 2178-9010, 2178-9010
    Vydavateľské údaje: Sindicato das Secretarias e Secretarios do Estado de Sao Paulo 01.10.2023
    “… This application enables the comparison of triggered alarms with the resultant logical states obtained during the analysis…”
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  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
    Vydavateľské údaje: 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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  13. 13

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

    ISBN: 9781394213245, 1394213247
    Vydavateľské údaje: 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
    Vydavateľské údaje: IEEE 01.12.2025
    Vydané 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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    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
    Vydavateľské údaje: Malden, US Blackwell Publishing Ltd 01.07.2022
    Vydané 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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  16. 16

    Nestedness for Dummies (NeD): A user friendly web interface for exploratory nestedness analysis Autor Strona, Giovanni, Galli, Paolo, Seveso, Davide, Montano, Simone, Fattorini, Simone

    ISSN: 1548-7660, 1548-7660
    Vydavateľské údaje: Foundation for Open Access Statistics 01.08.2014
    Vydané v Journal of statistical software (01.08.2014)
    “…Recent theoretical advances in nestedness analysis have led to the introduction of several alternative metrics to overcome most of the problems biasing the use of matrix 'temperature' calculated…”
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  17. 17

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

    ISBN: 1119820863, 9781119820864, 1119820944, 9781119820949
    Vydavateľské údaje: 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
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    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

    Vydavateľské údaje: 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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    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

    Vydavateľské údaje: 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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    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
    Vydavateľské údaje: New York Springer US 01.05.2023
    Vydané 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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