Výsledky vyhľadávania - (( (statement OR (statee OR statneee)) python code analysis ) OR ( state python code analysis ))~

Programming models to support data science workflows

Autori: Ramón-Cortés Vilarrodona, Cristián

Prispievatelia: 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)

Predmety: 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 súboru: application/pdf

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

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

Autori: Yi Rong Yan Zhou

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

Predmety: 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 súboru: electronic resource

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

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

Utilizing Deep Learning and Object-Based Image Analysis to Search for Low-Head Dams in Indiana, USA.

Autori: Crookston, Brian M. Arnold, Caitlin R.

Zdroj: Water (20734441); Mar2025, Vol. 17 Issue 6, p876, 24p

Predmety: IMAGE analysis, WATER supply, DAMS, MODEL validation, LEARNING ability

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

Autori: Siney, Melissa Salehi, Reza Hassan, Mohamed G. a ďalší

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

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

A Study of Large Language Models in Detecting Python Code Violations

Autori: Hekar A. Mohammed Salih Qusay I. Sarhan

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

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

Popis súboru: 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

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

Economic Impact of Abortions in Dairy Cow Herds.

Autori: Palma, Osvaldo Plà-Aragonès, Lluís M. Mac Cawley, Alejandro a ďalší

Zdroj: Veterinary Sciences; Jul2025, Vol. 12 Issue 7, p645, 14p

Predmety: ECONOMIC impact, ABORTION, MARKOV processes, PROFITABILITY, MILK yield, DAIRY cattle, ANIMAL health

Code Redteaming: Probing Ethical Sensitivity of LLMs Through Natural Language Embedded in Code.

Autori: Park, Chanjun Yoon, Jeongho Lim, Heuiseok

Zdroj: Mathematics (2227-7390). Jan2026, Vol. 14 Issue 1, p189. 18p.

Predmety: *LANGUAGE models, *ETHICS, *NATURAL language processing, *RISK assessment, *MORAL attitudes

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

Autori: Fachada, Nuno Fernandes, Daniel Fernandes, Carlos M. a ďalší

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

Predmety: *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

Autori: Chris J. Vargo

Typ zdroja: eBook.

Predmet: Machine learning

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

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

Autori: Liu, Hongli Clark, Martyn P. Gharari, Shervan a ďalší

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

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

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

Autori: Rasmus Krebs Somnath Mazumdar

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

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

Popis súboru: electronic resource

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

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

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

Autori: Yong Cui

Typ zdroja: eBook.

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

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

Measurement and Development for Automated Secure Coding Solutions

Autori: Frantz, Miles Eugene

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

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

Popis súboru: ETD; application/pdf

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

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

Autori: Varçin, Hakan Üneş, Fatih Gemici, Ercan a ďalší

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

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

Data Clustering with Python : From Theory to Implementation

Autori: Guojun Gan

Typ zdroja: eBook.

Predmet: Python (Computer program language), Cluster analysis

Kategórie: MATHEMATICS / Probability & Statistics / General

A Python Code for Simulating Single Tactile Receptors and the Spiking Responses of Their Afferents.

Autori: Ouyang, Qiangqiang Wu, Juan Shao, Zhiyu a ďalší

Zdroj: Frontiers in Neuroinformatics; 4/17/2019, pN.PAG-N.PAG, 13p

Predmety: PYTHON programming language, HAPTIC devices, NEUROPLASTICITY, UNITS of time, CIPHERS, COMPUTATIONAL neuroscience

Fast Python : High Performance Techniques for Large Datasets

Autori: Tiago Antao

Typ zdroja: eBook.

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

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

An exploratory text-mining approach to analyzing DEI-related issues in eight leading architecture & design firms' publications.

Autori: Mohammed, Hassnaa More, Prathamesh Pravin Saudagar, Onkar Vishnu

Zdroj: Design Journal. Jul2025, Vol. 28 Issue 4, p783-807. 25p.

Predmety: Diversity & inclusion policies, Text mining, Architectural design, Big data, Social consciousness, Design services, Python programming language, Data analysis

Osoby: Floyd, George, ca. 1973-2020

Percolation Theory Using Python

Autori: Malthe-Sørenssen, Anders

Predmety: 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 súboru: application/pdf

Relation: Lecture Notes in Physics

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

Numerical Python

Autori: Robert Johansson

Typ zdroja: eBook.

Predmet: Computer programming, Python (Computer program language)

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