Search Results - (( (state OR stavba) python code analysis ) OR ( stabat python code analysis ))~

Programming models to support data science workflows

Authors: Ramón-Cortés Vilarrodona, Cristián

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

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

Source: TDX (Tesis Doctorals en Xarxa)

Subject Terms: 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

File Description: application/pdf

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

FILL-IN-THE-MIDDLE (‘FIM’) CODE COMPLETIONS USING STATIC CODE ANALYSIS

MEG and EEG data analysis with MNE-Python

Authors: Gramfort, Alexandre Luessi, Martin Hamalainen, Matti et al.

Source: Gramfort, A., M. Luessi, E. Larson, D. A. Engemann, D. Strohmeier, C. Brodbeck, R. Goj, et al. 2013. “MEG and EEG data analysis with MNE-Python.” Frontiers in Neuroscience 7 (1): 267. doi:10.3389/fnins.2013.00267. http://dx.doi.org/10.3389/fnins.2013.00267.

Subject Terms: Methods Article, electroencephalography (EEG), magnetoencephalography (MEG), neuroimaging, software, python, open-source

File Description: application/pdf

Relation: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3872725/pdf/; Frontiers in Neuroscience

Access URL: http://nrs.harvard.edu/urn-3:HUL.InstRepos:11879699

Quantitative virus infectivity titration and dose-response analyses using cell-culture based methods and python code-assisted data analysis

Authors: Henna-Maarit Kyröläinen Iiris Mustonen Juho Enäkoski et al.

Source: iScience, Vol 29, Iss 3, Pp 115018- (2026)

Subject Terms: virology, Science

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2589004226003937; https://doaj.org/toc/2589-0042

Access URL: https://doaj.org/article/66ab127160aa4b968be933c3101d8f30

Permissible code analysis

Mining code expressions for data analysis

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

Authors: Yi Rong Yan Zhou

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

Subject Terms: 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

File Description: electronic resource

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

Access URL: https://doaj.org/article/0e8d85656442482785bc981b326c25a4

DYNAMIC SOURCE CODE ANALYSIS AND NATURAL LANGUAGE ANNOTATION

Rule creation for code analysis

A Study of Large Language Models in Detecting Python Code Violations

Authors: Hekar A. Mohammed Salih Qusay I. Sarhan

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

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

File Description: 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

Access URL: https://doaj.org/article/a66cf05353b54e19a03b46c0b089d1fc

SYSTEMS AND METHODS FOR ENTRY POINT-BASED CODE ANALYSIS AND TRANSFORMATION

Software code analysis using fuzzy fingerprinting

Compilation with caching of code analysis result

Meta-designing quantum experiments with language models.

Authors: Arlt, Sören Duan, Haonan Li, Felix et al.

Source: Nature Machine Intelligence; Feb2026, Vol. 8 Issue 2, p148-157, 10p

SYSTEMS AND METHODS FOR CODE CLUSTERING ANALYSIS AND TRANSFORMATION

MINING CODE EXPRESSIONS FOR DATA ANALYSIS

PERMISSIBLE CODE ANALYSIS

Permissible code analysis

Systems and methods for entry point-based code analysis and transformation

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

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

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

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