Výsledky vyhledávání - (( (stated OR (stated OR statee)) python code analysis ) OR ( state python code analysis ))*

Programming models to support data science workflows

Autoři: Ramón-Cortés Vilarrodona, Cristián

Přispěvatelé: University/Department: Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors

Thesis Advisors: Badia Sala, Rosa M. (Rosa Maria), Ejarque Artigas, Jorge

Zdroj: TDX (Tesis Doctorals en Xarxa)

Témata: Distributed computing, High-performance computing, Data science pipelines, Task-ba workflows, Dataflows, Containers (Computer sicience), COMPSs, PyCOMPSs, AutoParallel, Docker, Àrees temàtiques de la UPC::Informàtica

Popis souboru: application/pdf

Přístupová URL adresa: http://hdl.handle.net/10803/669728
https://dx.doi.org/10.5821/dissertation-2117-330142

Modelling a Lab-Scale Continuous Flow Aerobic Granular Sludge Reactor: Optimisation Pathways for Scale-Up.

Autoři: Siney, Melissa Salehi, Reza Hassan, Mohamed G. a další

Zdroj: Water (20734441); Jul2025, Vol. 17 Issue 14, p2131, 37p

Témata: CONTINUOUS flow reactors, MATHEMATICAL models, COMPUTATIONAL fluid dynamics, WASTEWATER treatment, SENSITIVITY analysis, CHEMICAL oxygen demand, CHEMICAL reactors

Use It or Lose It: Facilitating the Use of Interactive Data Apps in Psychological Research Data Sharing.

Autoři: Usée, Franziska Melzig, Christiane A. Ostwald, Dirk

Zdroj: Europe's Journal of Psychology; Aug2024, Vol. 20 Issue 3, p202-219, 18p

Témata: NATURAL language processing, OPEN scholarship, CLINICAL psychology, PSYCHOLOGICAL research, PYTHON programming language

Quantifying cross-language code reuse via function-level clone detection

Autoři: Yi Rong Yan Zhou

Zdroj: Journal of King Saud University: Computer and Information Sciences, Vol 37, Iss 10, Pp 1-20 (2025)

Témata: Natural language processing, Code reuse detection, Function-level clone analysis, Java and python source code, Academic plagiarism detection, Electronic computers. Computer science, QA75.5-76.95

Popis souboru: electronic resource

Relation: https://doaj.org/toc/1319-1578; https://doaj.org/toc/2213-1248

Přístupová URL adresa: https://doaj.org/article/0e8d85656442482785bc981b326c25a4

A Study of Large Language Models in Detecting Python Code Violations

Autoři: Hekar A. Mohammed Salih Qusay I. Sarhan

Zdroj: ARO-The Scientific Journal of Koya University, Vol 13, Iss 2 (2025)

Témata: Large language models, Software metrics, Software quality, Static code analysis, Technology, Science

Popis souboru: electronic resource

Relation: https://aro.koyauniversity.org/index.php/aro/article/view/2395; https://doaj.org/toc/2410-9355; https://doaj.org/toc/2307-549X

Přístupová URL adresa: https://doaj.org/article/a66cf05353b54e19a03b46c0b089d1fc

An Improved Copula‐Based Framework for Efficient Global Sensitivity Analysis.

Autoři: Liu, Hongli Clark, Martyn P. Gharari, Shervan a další

Zdroj: Water Resources Research; Jan2024, Vol. 60 Issue 1, p1-22, 22p

Témata: SENSITIVITY analysis, GAUSSIAN mixture models, DATA envelopment analysis, PARAMETER estimation

GPT-4.1 Sets the Standard in Automated Experiment Design Using Novel Python Libraries.

Autoři: Fachada, Nuno Fernandes, Daniel Fernandes, Carlos M. a další

Zdroj: Future Internet. Sep2025, Vol. 17 Issue 9, p412. 28p.

Témata: *Experimental design, *Quantitative research, Language models, Python programming language, Generative pre-trained transformers, Benchmark problems (Computer science), Code generators

The Computational Content Analyst : Using Machine Learning to Classify Media Messages

Autoři: Chris J. Vargo

Resource Type: eBook.

Témata: Machine learning

Categories: LANGUAGE ARTS & DISCIPLINES / Communication Studies, SOCIAL SCIENCE / Methodology, SOCIAL SCIENCE / Media Studies

Development of a Three-Dimensional CFD Model and OpenCV Code by Comparing with Experimental Data for Spillway Model Studies.

Autoři: Varçin, Hakan Üneş, Fatih Gemici, Ercan a další

Zdroj: Water (20734441); Feb2023, Vol. 15 Issue 4, p756, 31p

Témata: THREE-dimensional modeling, SPILLWAYS, WATER depth, IMAGE processing, DATA modeling

Inhibitory dynamics in dual-route evidence accumulation account for response time distributions from conflict tasks.

Autoři: López, Francisco M. Pomi, Andrés

Zdroj: Cognitive Neurodynamics; Aug2024, Vol. 18 Issue 4, p1507-1524, 18p

Analyzing LLM-Generated Code According to Four ISO/IEC 5055:2021 Categories

Autoři: Rasmus Krebs Somnath Mazumdar

Zdroj: IEEE Access, Vol 13, Pp 202482-202499 (2025)

Témata: Analysis, ISO, LLMs, maintainability, performance, Python, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Popis souboru: electronic resource

Relation: https://ieeexplore.ieee.org/document/11269792/; https://doaj.org/toc/2169-3536

Přístupová URL adresa: https://doaj.org/article/3faae1da4e0b47beb1e1ac9da1ee6b78

Python How-To : 63 Techniques to Improve Your Python Code

Autoři: Yong Cui

Resource Type: eBook.

Témata: Python (Computer program language), Computer programming, Video games--Programming

Categories: COMPUTERS / Languages / Python, COMPUTERS / Data Science / General, COMPUTERS / Internet / Web Programming

Measurement and Development for Automated Secure Coding Solutions

Autoři: Frantz, Miles Eugene

Thesis Advisors: Computer Science and#38; Applications, Yao, Danfeng, Rajagopalan, Raj, Meng, Na, Chung, Taejoong Tijay, Brown, Dwayne Christian

Témata: Large Language Models, Machine Learning, Static Code Analysis, Python, Java, Benchmark

Popis souboru: ETD; application/pdf

Dostupnost: https://hdl.handle.net/10919/121100

Fast Python : High Performance Techniques for Large Datasets

Autoři: Tiago Antao

Resource Type: eBook.

Témata: Python (Computer program language), Electronic data processing

Categories: COMPUTERS / Languages / Python, COMPUTERS / Data Science / General, COMPUTERS / Software Development & Engineering / General

Numerical Python

Autoři: Robert Johansson

Resource Type: eBook.

Témata: Computer programming, Python (Computer program language)

Categories: COMPUTERS / Languages / Python, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Database Administration & Management, COMPUTERS / Mathematical & Statistical Software, MATHEMATICS / Probability & Statistics / General

Percolation Theory Using Python

Autoři: Malthe-Sørenssen, Anders

Témata: fractal models, critical phenomena in statistical physics, disordered systems, scaling theory, anomalous diffusion, random media textbook, Statistical physics, Condensed matter physics (liquid state and solid state physics), Cybernetics and systems theory, Engineering applications of electronic, magnetic, optical materials, Mathematical physics, Geophysics

Popis souboru: application/pdf

Relation: Lecture Notes in Physics

Přístupová URL adresa: https://library.oapen.org/handle/20.500.12657/92326

Linear Regression With Python : A Tutorial Introduction to the Mathematics of Regression Analysis

Autoři: James V Stone

Resource Type: eBook.

Categories: MATHEMATICS / Probability & Statistics / Regression Analysis, COMPUTERS / Languages / Python, MATHEMATICS / Probability & Statistics / General

Enhancing Cardiac Arrhythmia Detection in WBAN Sensors Through Supervised Machine Learning and Data Dimensionality Reduction Techniques.

Autoři: Hussein, Safa Saad Rashidi, C. B. M. Aljunid, S. A. a další

Zdroj: Mathematical Modelling of Engineering Problems; Dec2023, Vol. 10 Issue 6, p2051-2062, 12p

Témata: SUPERVISED learning, DATA reduction, ARRHYTHMIA, MACHINE learning, INDEPENDENT component analysis, BODY area networks

Software Design for Python Programmers : Principles and Patterns

Autoři: Ronald Mak

Resource Type: eBook.

Categories: COMPUTERS / Languages / Python, COMPUTERS / Programming / Object Oriented, COMPUTERS / Software Development & Engineering / Systems Analysis & Design

Regularized Maximum Likelihood Estimation for the Random Coefficients Model in Python.

Autoři: Dunker, Fabian Mendoza, Emil Reale, Marco

Zdroj: Mathematics (2227-7390); Dec2025, Vol. 13 Issue 23, p3764, 29p

Témata: PYTHON programming language, MAXIMUM likelihood statistics, CONSUMPTION (Economics), MATHEMATICAL programming, MULTILEVEL models, SCIENTIFIC computing