Suchergebnisse - (( (stat OR (statni OR statee)) python code analysis ) OR ( state python code analysis ))~

Programming models to support data science workflows

Autoren: Ramón-Cortés Vilarrodona, Cristián

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

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

Quelle: TDX (Tesis Doctorals en Xarxa)

Schlagwörter: 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

Dateibeschreibung: application/pdf

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

Automation of Software Code Analysis Using Machine Learning Methods.

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

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

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

Autoren: Yi Rong Yan Zhou

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

Schlagwörter: 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

Dateibeschreibung: electronic resource

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

Zugangs-URL: https://doaj.org/article/0e8d85656442482785bc981b326c25a4

A Study of Large Language Models in Detecting Python Code Violations

Autoren: Hekar A. Mohammed Salih Qusay I. Sarhan

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

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

Dateibeschreibung: 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

Zugangs-URL: https://doaj.org/article/a66cf05353b54e19a03b46c0b089d1fc

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

Autoren: Fachada, Nuno Fernandes, Daniel Fernandes, Carlos M. et al.

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

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

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

Autoren: Tarek A. Atwan

Resource Type: eBook.

Schlagworte: Python (Computer program language), Machine learning

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

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

Autoren: Liu, Hongli Clark, Martyn P. Gharari, Shervan et al.

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

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

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

Autoren: Rasmus Krebs Somnath Mazumdar

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

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

Dateibeschreibung: electronic resource

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

Zugangs-URL: https://doaj.org/article/3faae1da4e0b47beb1e1ac9da1ee6b78

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

Autoren: Yong Cui

Resource Type: eBook.

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

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

Data Clustering with Python : From Theory to Implementation

Autoren: Guojun Gan

Resource Type: eBook.

Schlagworte: Python (Computer program language), Cluster analysis

Categories: MATHEMATICS / Probability & Statistics / General

Measurement and Development for Automated Secure Coding Solutions

Autoren: Frantz, Miles Eugene

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

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

Dateibeschreibung: ETD; application/pdf

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

Fast Python : High Performance Techniques for Large Datasets

Autoren: Tiago Antao

Resource Type: eBook.

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

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

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

Autoren: López, Francisco M. Pomi, Andrés

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

Numerical Python

Autoren: Robert Johansson

Resource Type: eBook.

Schlagworte: 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

Autoren: Malthe-Sørenssen, Anders

Schlagwörter: 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

Dateibeschreibung: application/pdf

Relation: Lecture Notes in Physics

Zugangs-URL: https://library.oapen.org/handle/20.500.12657/92326

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

Autoren: James V Stone

Resource Type: eBook.

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

Software Design for Python Programmers : Principles and Patterns

Autoren: Ronald Mak

Resource Type: eBook.

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

Text Analysis with Python: A Research Oriented Guide

Autoren: Mamta, Mittal Gopi, Battineni Bhimavarapu, Usharani et al.

Resource Type: eBook.

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

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

Luminescence Signal Analysis Using Python

Autoren: Vasilis Pagonis

Resource Type: eBook.

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

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

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

Autoren: Nuno Fachada Daniel Fernandes Carlos M. Fernandes et al.

Quelle: Future Internet, Vol 17, Iss 9, p 412 (2025)

Schlagwörter: large language models, code generation, Python libraries, Information technology, T58.5-58.64

Dateibeschreibung: electronic resource

Relation: https://www.mdpi.com/1999-5903/17/9/412; https://doaj.org/toc/1999-5903

Zugangs-URL: https://doaj.org/article/0b7290b02eba46929e6de40288c33a7e