Výsledky vyhľadávania - (( (staten OR stat) python code analysis ) OR ( (state 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

Automation of Software Code Analysis Using Machine Learning Methods.

Autori: Moshkin, V. S. Dyrnochkin, A. A. Yarushkina, N. G.

Zdroj: Pattern Recognition & Image Analysis; Sep2023, Vol. 33 Issue 3, p417-424, 8p

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

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

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

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

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

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

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

Autori: López, Francisco M. Pomi, Andrés

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

Numerical Analyses of a SAW Gas Sensor in a Non-Steady State

Autori: T. Hejczyk J. Wrotniak P. Powroźnik a ďalší

Zdroj: International Journal of Electronics and Telecommunications, Vol vol. 71, Iss No 4 (2025)

Predmety: gas sensors, numerical modeling, ingebrigtsen’s formula, dmmp, (rr)-p3ht, acoustoelectric analysis (naa), Electrical engineering. Electronics. Nuclear engineering, TK1-9971, Telecommunication, TK5101-6720

Popis súboru: electronic resource

Relation: https://journals.pan.pl/Content/136909/6-5168-Hejczyk_sk.pdf; https://doaj.org/toc/2081-8491; https://doaj.org/toc/2300-1933

Prístupová URL adresa: https://doaj.org/article/c9d170a1144c4d9f86026066ca8dbfea

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

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

Software Design for Python Programmers : Principles and Patterns

Autori: Ronald Mak

Typ zdroja: eBook.

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

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

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

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

Luminescence Signal Analysis Using Python

Autori: Vasilis Pagonis

Typ zdroja: eBook.

Predmet: Radiation dosimetry, Mathematical physics, Python (Computer program language), Quantum physics, Optical spectroscopy

Kategórie: SCIENCE / Life Sciences / Biophysics, COMPUTERS / Languages / Python, SCIENCE / Physics / Mathematical & Computational, SCIENCE / Physics / Quantum Theory, SCIENCE / Spectroscopy & Spectrum Analysis, TECHNOLOGY & ENGINEERING / Materials Science / General

Text Analysis with Python: A Research Oriented Guide

Autori: Mamta, Mittal Gopi, Battineni Bhimavarapu, Usharani a ďalší

Typ zdroja: eBook.

Predmet: Programming languages (Electronic computers), Python (Computer program language), Text processing (Computer science)

Kategórie: COMPUTERS / Languages / Python, COMPUTERS / Artificial Intelligence / General