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

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    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 Kniha
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    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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    Journal Article
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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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    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
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    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, 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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    Python for MATLAB Development - Extend MATLAB with 300,000+ Modules from the Python Package Index Autor Danial, Albert

    ISBN: 9781484272220, 1484272226, 1484272234, 9781484272237
    Vydavateľské údaje: Berkeley, CA Apress, an imprint of Springer Nature 2022
    “…This book shows you how to enhance MATLAB with Python solutions to a vast array of computational problems in science, engineering, optimization, statistics, finance, and simulation…”
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    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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    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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    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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    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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    PyAnalyzer: An Effective and Practical Approach for Dependency Extraction from Python Code Autor Jin, Wuxia, Xu, Shuo, Chen, Dawei, He, Jiajun, Zhong, Dinghong, Fan, Ming, Chen, Hongxu, Zhang, Huijia, Liu, Ting

    ISSN: 1558-1225
    Vydavateľské údaje: ACM 14.04.2024
    “… However, dynamic language features in Python make code behaviors obscure and nondeter-ministic…”
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    Code2graph: Automatic Generation of Static Call Graphs for Python Source Code Autor Gharibi, Gharib, Tripathi, Rashmi, Lee, Yugyung

    ISSN: 2643-1572
    Vydavateľské údaje: ACM 01.09.2018
    “… However, there is a lack of software tools that can automatically analyze the Python source-code and construct its static call graph…”
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    Statistics Using Python Autor Campesato, Oswald

    ISBN: 9781683928805, 1683928806
    Vydavateľské údaje: 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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    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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    SIMA: Python software for analysis of dynamic fluorescence imaging data Autor Kaifosh, Patrick, Zaremba, Jeffrey D., Danielson, Nathan B., Losonczy, Attila

    ISSN: 1662-5196, 1662-5196
    Vydavateľské údaje: Switzerland Frontiers Research Foundation 23.09.2014
    Vydané v Frontiers in neuroinformatics (23.09.2014)
    “… To address this need, we have developed SIMA, an open source Python package that facilitates common analysis tasks related to fluorescence imaging…”
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    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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    Towards Effective Static Type-Error Detection for Python Autor Oh, Wonseok, Oh, Hakjoo

    ISSN: 2643-1572
    Vydavateľské údaje: ACM 27.10.2024
    “… This empirical investigation revealed four key static-analysis features that are crucial for the effective detection of Python type errors in practice…”
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    TypeEvalPy: A Micro-Benchmarking Framework for Python Type Inference Tools Autor Venkatesh, Ashwin Prasad S., Sabu, Samkutty, Wang, Jiawei, Mir, Amir M., Li, Li, Bodden, Eric

    ISSN: 2574-1934
    Vydavateľské údaje: ACM 14.04.2024
    “… TYPE-EVALPy contains 154 code snippets with 845 type annotations across 18 categories that target various Python features…”
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    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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    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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