Výsledky vyhľadávania - (( (staten OR strategie) python code analysis ) OR ( state python code analysis ))*

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

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

Generación y control de formas libres en entornos BIM : modelado paramétrico, modelado algorítmico

Autori: Larrondo Lizarraga, Antonio

Prispievatelia: University/Department: Universitat Politècnica de Catalunya. Departament de Representació Arquitectònica

Thesis Advisors: Coloma Picó, Eloi, Regot Marimón, Joaquín M. (Joaquín Manuel)

Zdroj: TDX (Tesis Doctorals en Xarxa)

Predmety: Modelado de formas libres, Modelado conceptual, Modelado de masa, Modelado paramétrico, Modelado algorítmico, Editor gráfico de algoritmos, Lenguajes de programación visual, Lenguajes de programación orientados a objetos, Modeling, Algorithmic graphic editor, Àrees temàtiques de la UPC::Arquitectura

Popis súboru: application/pdf

Prístupová URL adresa: http://hdl.handle.net/10803/457875
https://dx.doi.org/10.5821/dissertation-2117-112206

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

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

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

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

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

Analysis of Microstructural, Electronic and Magnetic Properties of Nanocrystalline Compound Sm2ZrCo16: Effects of Annealing Temperature and Role of Intergranular Exchange Coupling.

Autori: Fersi, R. Reinhold, A. Pereira, A. a ďalší

Zdroj: Journal of Magnetism & Magnetic Materials. Aug2025, Vol. 626, pN.PAG-N.PAG. 1p.

Predmety: *EXCHANGE interactions (Magnetism), *MAGNETIC structure, *MAGNETIC domain, *MAGNETIC materials, *MAGNETIC properties

Time Series Analysis with Python Cookbook : Practical Recipes for the Complete Time Series Workflow, From Modern Data Engineering to Advanced Forecasting and Anomaly Detection

Autori: Tarek A. Atwan

Typ zdroja: eBook.

Predmet: Python (Computer program language), Machine learning

Kategórie: COMPUTERS / Data Science / Data Modeling & Design, COMPUTERS / Data Science / General, COMPUTERS / Data Science / Data Analytics

Time Series Analysis with Python Cookbook : Practical Recipes for Exploratory Data Analysis, Data Preparation, Forecasting, and Model Evaluation

Autori: Tarek A. Atwan

Typ zdroja: eBook.

Predmet: Machine learning, Python (Computer program language)

Kategórie: COMPUTERS / Data Science / Data Modeling & Design, COMPUTERS / Data Science / Data Warehousing, COMPUTERS / Languages / Python

Comparative Analysis of AI Models for Python Code Generation: A HumanEval Benchmark Study

Autori: Ali Bayram Gonca Gokce Menekse Dalveren Mohammad Derawi

Zdroj: Applied Sciences, Vol 15, Iss 18, p 9907 (2025)

Predmety: AI models, code generation, HumanEval, Python, machine learning, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Popis súboru: electronic resource

Relation: https://www.mdpi.com/2076-3417/15/18/9907; https://doaj.org/toc/2076-3417

Prístupová URL adresa: https://doaj.org/article/3c87d90632f84decb1cbab6e1475a082

Hands-on 3: Introduction to developing Python computational pipelines for predictive machine learning modelling of livestock data.

Autori: Tulpan, Dan¹

Zdroj: Journal of Animal Science. 2024 Supplement, Vol. 102, p68-68. 1/4p.

Predmet: Machine learning, Personal computers, Animal science, Data modeling, Python programming language

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

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

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

Autori: James V Stone

Typ zdroja: eBook.

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

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

Association of Drugs for Sale on the Internet and Official Health Indicators: Darknet Parsing and Correlational Study.

Autori: Soshnikov, Sergey Bekker, Svetlana Idrisov, Bulat a ďalší

Zdroj: JMIR Formative Research; 2024, Vol. 8, p1-13, 13p

Asynchronous Programming in Python : Apply Asyncio in Python to Build Scalable, High-performance Apps Across Multiple Scenarios

Autori: Nicolas Bohorquez

Typ zdroja: eBook.

Kategórie: COMPUTERS / Languages / Python, COMPUTERS / Programming / Parallel, COMPUTERS / Programming / Algorithms