Výsledky vyhledávání - (( (statne OR state) python code analysis ) OR ( (state:ny OR statnet) python code analysis ))

Programming models to support data science workflows

Autoři: Ramón-Cortés Vilarrodona, Cristián

Přispěvatelé: 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)

Témata: 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 souboru: application/pdf

Přístupová URL adresa: 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.

Autoři: Fachada, Nuno Fernandes, Daniel Fernandes, Carlos M. a další

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

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

Practical Data Analysis Using Jupyter Notebook : Learn How to Speak the Language of Data by Extracting Useful and Actionable Insights Using Python

Autoři: Marc Wintjen

Resource Type: eBook.

Témata: Python (Computer program language), Electronic data processing, Information visualization

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

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

Autoři: Yi Rong Yan Zhou

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

Témata: 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 souboru: electronic resource

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

Přístupová URL adresa: https://doaj.org/article/0e8d85656442482785bc981b326c25a4

A Study of Large Language Models in Detecting Python Code Violations

Autoři: Hekar A. Mohammed Salih Qusay I. Sarhan

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

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

Popis souboru: 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

Přístupová URL adresa: https://doaj.org/article/a66cf05353b54e19a03b46c0b089d1fc

Mastering Exploratory Analysis with Pandas : Build an End-to-end Data Analysis Workflow with Python

Autoři: Harish Kumar Garg

Resource Type: eBook.

Categories: COMPUTERS / Languages / Python, COMPUTERS / Data Science / General, COMPUTERS / Data Science / Data Modeling & Design

Statistics for Data Science and Analytics

Autoři: Peter C. Bruce Peter Gedeck Janet Dobbins

Resource Type: eBook.

Témata: Statistics, Python (Computer program language)

Categories: COMPUTERS / Languages / Python, COMPUTERS / Data Science / Data Analytics, MATHEMATICS / Probability & Statistics / General

Numerical analysis of recovery stage with disappearing polymer layer RR-P3HT for the detection of DMMP based on diffusion equations.

Autoři: Hejczyk, Tomasz Wrotniak, Jarosław Powroźnik, Paulina a další

Zdroj: International Journal of Electronics & Telecommunications. 2025, Vol. 71 Issue 4, p1-7. 7p.

Témata: *NUMERICAL analysis, *SURFACE acoustic wave sensors, *ELECTRIC conductivity, *REACTION-diffusion equations, *GAS detectors, *POLYMERIC membranes, *SURFACE interactions

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

Autoři: Rasmus Krebs Somnath Mazumdar

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

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

Popis souboru: electronic resource

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

Přístupová URL adresa: https://doaj.org/article/3faae1da4e0b47beb1e1ac9da1ee6b78

Advanced Python Programming : Accelerate Your Python Programs Using Proven Techniques and Design Patterns

Autoři: Quan Nguyen

Resource Type: eBook.

Témata: Python (Computer program language), Application software--Development

Categories: COMPUTERS / Computer Literacy

GE-IA-NAM: gene–environment interaction analysis via imaging-assisted neural additive model.

Autoři: Li, Jingmao Xu, Yaqing Ma, Shuangge a další

Zdroj: Bioinformatics. Sep2025, Vol. 41 Issue 9, p1-9. 9p.

Témata: *CANCER research, *GENOTYPE-environment interaction, *DIAGNOSTIC imaging, *DEEP learning, *EMPIRICAL research, *COMPUTER simulation

HABiC: an algorithm based on the exact computation of the Kantorovich-Rubinstein optimizer for binary classification in transcriptomics.

Autoři: Cordier, Chiara Jézéquel, Pascal Campone, Mario a další

Zdroj: Bioinformatics. Jun2025, Vol. 41 Issue 6, p1-13. 13p.

Témata: *PREDICTION algorithms, *TRANSCRIPTOMES, *DEGREES of freedom, *INDIVIDUALIZED medicine, *MACHINE learning

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

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

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

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

Percolation Theory Using Python

Autoři: Malthe-Sørenssen, Anders

Témata: 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 souboru: application/pdf

Relation: Lecture Notes in Physics

Přístupová URL adresa: https://library.oapen.org/handle/20.500.12657/92326

The Computational Content Analyst : Using Machine Learning to Classify Media Messages

Autoři: Chris J. Vargo

Resource Type: eBook.

Témata: Machine learning

Categories: LANGUAGE ARTS & DISCIPLINES / Communication Studies, SOCIAL SCIENCE / Methodology, SOCIAL SCIENCE / Media Studies

Smart Compiler Assistant: An AST based Python Code Analysis

Autoři: Aneesh, Ch Saumik, Gembali Varun, Kvv a další

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

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

Measurement and Development for Automated Secure Coding Solutions

Autoři: Frantz, Miles Eugene

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

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

Popis souboru: ETD; application/pdf

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

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

Autoři: Siney, Melissa Salehi, Reza Hassan, Mohamed G. a další

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

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

Enhancing genome-scale metabolic models with kinetic data: resolving growth and citramalate production trade-offs in Escherichia coli.

Autoři: Lázaro, Jorge Wongprommoon, Arin Júlvez, Jorge a další

Zdroj: Bioinformatics Advances. 2025, Vol. 5 Issue 1, p1-11. 11p.

Témata: *ESCHERICHIA coli, *METABOLIC models, *CHEMICAL kinetics, *METABOLIC flux analysis, *MATHEMATICAL programming

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

Autoři: Nuno Fachada Daniel Fernandes Carlos M. Fernandes a další

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

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

Popis souboru: electronic resource

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

Přístupová URL adresa: https://doaj.org/article/0b7290b02eba46929e6de40288c33a7e