Suchergebnisse - (( (statement OR state) python code analysis ) OR ( (stateeee OR statene) 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

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

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

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

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

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

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

People: Floyd, George, ca. 1973-2020

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

Autoren: Park, Chanjun Yoon, Jeongho Lim, Heuiseok

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

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

NAS Parallel Benchmarks with Python: a performance and programming effort analysis focusing on GPUs.

Autoren: Di Domenico, Daniel Lima, João V. F. Cavalheiro, Gerson G. H.

Quelle: Journal of Supercomputing. May2023, Vol. 79 Issue 8, p8890-8911. 22p.

Schlagwörter: *PYTHON programming language, *FORTRAN, *C++

Static Analysis of Corpus of Source Codes of Python Applications.

Autoren: Kapustin, D. A. Shvyrov, V. V. Shulika, T. I.

Quelle: Programming & Computer Software. Aug2023, Vol. 49 Issue 4, p302-309. 8p.

Schlagwörter: *SOURCE code, *PYTHONS, *PYTHON programming language, *CORPORA, *ROBBERS

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

Autoren: T. Hejczyk J. Wrotniak P. Powroźnik et al.

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

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

Dateibeschreibung: 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

Zugangs-URL: https://doaj.org/article/c9d170a1144c4d9f86026066ca8dbfea

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

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

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

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

GraphPyRec: A novel graph-based approach for fine-grained Python code recommendation.

Autoren: Zong, Xing Zheng, Shang Zou, Haitao et al.

Quelle: Science of Computer Programming. Dec2024, Vol. 238, pN.PAG-N.PAG. 1p.

Schlagwörter: *GRAPH neural networks, *ARTIFICIAL intelligence, *LANGUAGE models, *SOFTWARE engineering, *FLOW control (Data transmission systems), *PYTHON programming language

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

Autoren: Siney, Melissa Salehi, Reza Hassan, Mohamed G. et al.

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

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

Smart Compiler Assistant: An AST based Python Code Analysis

Autoren: Aneesh, Ch Saumik, Gembali Varun, Kvv et al.

Quelle: 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT) ; page 1-6

Verfügbarkeit: https://doi.org/10.1109/icccnt61001.2024.10724220
http://xplorestaging.ieee.org/ielx8/10723818/10723316/10724220.pdf?arnumber=10724220

Equivalent sentiment measures for cross-language analysis of corporate communications

Autoren: Karol Marek Klimczak Jan Makary Fryczak Dominika Hadro et al.

Quelle: MethodsX, Vol 12, Iss , Pp 102745- (2024)

Schlagwörter: Business communication, Financial reporting, Textual analysis, Text mining, Python, Science

Dateibeschreibung: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2215016124001985; https://doaj.org/toc/2215-0161

Zugangs-URL: https://doaj.org/article/2b2996048ae24fdb9fdc20b97328452f

ChatGPT for Univariate Statistics: Validation of AI-Assisted Data Analysis in Healthcare Research.

Autoren: Ruta, Michael R Gaidici, Tony Irwin, Chase et al.

Quelle: Journal of Medical Internet Research. 2025, Vol. 27, p1-9. 9p.

Schlagwörter: *Data analysis, *Data management, ChatGPT, Inferential statistics, Medical care research, Statistical software, Univariate analysis, Descriptive statistics

Firma/Körperschaft: OpenAI Inc.

Python API Misuse Mining and Classification Based on Hybrid Analysis and Attention Mechanism.

Autoren: He, Xincheng Liu, Xiaojin Xu, Lei

Quelle: International Journal of Software Engineering & Knowledge Engineering. Oct2023, Vol. 33 Issue 10, p1567-1597. 31p.

Schlagwörter: *COMPUTER software development, *APPLICATION program interfaces, PYTHONS, PYTHON programming language, CLASSIFICATION

CLAVE: A deep learning model for source code authorship verification with contrastive learning and transformer encoders.

Autoren: Álvarez-Fidalgo, David Ortin, Francisco

Quelle: Information Processing & Management. May2025, Vol. 62 Issue 3, pN.PAG-N.PAG. 1p.

Schlagwörter: *Transformer models, Language models, Source code, Dispute resolution, Python programming language

Modelling the positive and negative interaction between mood and thermal sensation in the built environment using a combined Markov Chain Monte Carlo algorithm and Morris method.

Autoren: Özbey, Mehmet Furkan Turhan, Cihan

Quelle: Building Services Engineering Research & Technology. Nov2025, Vol. 46 Issue 6, p737-752. 16p.

Schlagwörter: *MARKOV chain Monte Carlo, MOOD (Psychology), THERMAL comfort, SENSITIVITY analysis, PSYCHOLOGICAL factors, ENVIRONMENTAL psychology

MLtool Python Code

Autoren: Nikolai A Zarkevich Nishan Senanayake Joshua Stuckner et al.

Schlagwörter: Computer Programming and Software

Relation: MLtool: Universal Supervised Machine Learning Tool to Model Tabulated Data

Zugangs-URL: https://ntrs.nasa.gov/citations/20230005458

User guide for Social Determinants of Health Survey data in the All of Us Research Program.

Autoren: Koleck, Theresa A Dreisbach, Caitlin Zhang, Chen et al.

Quelle: Journal of the American Medical Informatics Association. Dec2024, Vol. 31 Issue 12, p3032-3041. 10p.

Schlagwörter: Social determinants of health, Health equity, Research personnel, Sociometry, Source code

A Firm's Operational Risk: Data Set and Empirical Evidence.

Autoren: Astvansh, Vivek Simpson, Joseph J.

Quelle: Manufacturing & Service Operations Management (M&SOM). Jan/Feb2026, Vol. 28 Issue 1, p326-341. 16p.

Schlagwörter: *OPERATIONAL risk, *TRANSFORMER models, *STAKEHOLDER theory, *LEGAL liability, *FINANCIAL disclosure, *EMPIRICAL research, NUMERICAL analysis

Geografische Kategorien: UNITED States