Suchergebnisse - (( (statne OR stat) python code analysis ) OR ( (statene OR state:ny) python code analysis ))*

Percolation theory using Python von Malthe-Sørenssen, Anders

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

“… : 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 von Smith, Matthew J., Mansournia, Mohammad A., Maringe, Camille, Zivich, Paul N., Cole, Stephen R., Leyrat, Clémence, Belot, Aurélien, Rachet, Bernard, Luque‐Fernandez, Miguel A.

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

“… 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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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 von Ross, Dylan H, Cho, Jang Ho, Zhang, Rutan, Hines, Kelly M, Xu, Libin

“… 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 von Danial, Albert

“… 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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Domain Knowledge Matters: Improving Prompts with Fix Templates for Repairing Python Type Errors von Peng, Yun, Gao, Shuzheng, Gao, Cuiyun, Huo, Yintong, Lyu, Michael R.

“… 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 von Dilhara, Malinda, Ketkar, Ameya, Sannidhi, Nikhith, Dig, Danny

“… 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 von Jin, Wuxia, Xu, Shuo, Chen, Dawei, He, Jiajun, Zhong, Dinghong, Fan, Ming, Chen, Hongxu, Zhang, Huijia, Liu, Ting

“… 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 von Gharibi, Gharib, Tripathi, Rashmi, Lee, Yugyung

“… 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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TypeEvalPy: A Micro-Benchmarking Framework for Python Type Inference Tools von Venkatesh, Ashwin Prasad S., Sabu, Samkutty, Wang, Jiawei, Mir, Amir M., Li, Li, Bodden, Eric

“… TYPE-EVALPy contains 154 code snippets with 845 type annotations across 18 categories that target various Python features …”
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Towards Effective Static Type-Error Detection for Python von Oh, Wonseok, Oh, Hakjoo

“… 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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Statistical analysis of feature-based molecular networking results from non-targeted metabolomics data von 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

“… We provide explanations and code in two scripting languages (R and Python) as well …”
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Multi-Step Automated Generation of Parameter Docstrings in Python: An Exploratory Study von Venkatkrishna, Vatsal, Nagabushanam, Durga Shree, Simon, Emmanuel Iko-Ojo, Vidoni, Melina

“… Documentation debt hinders the effective utilisation of open-source software. Although code summarisation tools have been helpful for developers, most would …”
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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 von de Oliveira, Joseffe Barroso, Gino, Joao Vitor Santa Rosa, de Lima, Carlos Jose, Filho, Joao Inacio da Silva

“… This application enables the comparison of triggered alarms with the resultant logical states obtained during the analysis …”
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PyTy: Repairing Static Type Errors in Python von Chow, Yiu Wai, Di Grazia, Luca, Pradel, Michael

“… As more and more code bases get type-annotated, static type checkers detect an increasingly large number of type errors …”
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Python for the Life Sciences - A Gentle Introduction to Python for Life Scientists von Lancaster, Alex, Webster, Gordon

“… The book was written specifically for biologists with little or no prior experience of writing code - with the goal of giving them not only a foundation in Python programming, but also the confidence …”
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A Python Instrument Control and Data Acquisition Suite for Reproducible Research von Koerner, Lucas J., Caswell, Thomas A., Allan, Daniel B., Campbell, Stuart I.

“… 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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AI Writes, We Analyze: The ChatGPT Python Code Saga von Rabbi, Md Fazle, Champa, Arifa, Zibran, Minhaz, Islam, Md Rakibul

“… In this study, we quantitatively analyze 1,756 AI-written Python code snippets in the DevGPT dataset and evaluate them for quality and security issues …”
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Derivatives analytics with Python: data analysis, models, simulation, calibration and hedging von Hilpisch, Yves J

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