Výsledky vyhledávání - (( (stateeeene OR state) python code analysis ) OR ( (stateeee OR statnii) python code analysis ))*

Serenity: Library Based Python Code Analysis for Code Completion and Automated Machine Learning

Autoři: Zhao, Wenting Abdelaziz, Ibrahim Dolby, Julian a další

Témata: Computer Science - Programming Languages, Computer Science - Artificial Intelligence, text

URL: http://arxiv.org/abs/2301.05108

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

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

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

LMs: Understanding Code Syntax and Semantics for Code Analysis

Autoři: Ma, Wei Liu, Shangqing Lin, Zhihao a další

Témata: Computer Science - Software Engineering, Computer Science - Artificial Intelligence, text

URL: http://arxiv.org/abs/2305.12138

Python code analysis and figures - intensity zones

Autoři: Fredrik Mentzoni

Témata: Sports science and exercise not elsewhere classified, sports scienes

Dostupnost: https://doi.org/10.6084/m9.figshare.28562558.v1
https://figshare.com/articles/software/Python_code_analysis_and_figures_-_intensity_zones/28562558

Analysis of accretion disc structure and stability using open code for vertical structure

Autoři: Tavleev, A. S. Lipunova, G. V. Malanchev, K. L.

Témata: Astrophysics - High Energy Astrophysical Phenomena, text

URL: http://arxiv.org/abs/2303.02184

Static Analysis of Corpus of Source Codes of Python Applications.

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

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

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

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

Autoři: He, Xincheng Liu, Xiaojin Xu, Lei

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

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

Assessing Pilot Aeromedical Risk Analysis Using Healthcare Data [Structured Query Language (SQL) and Python Code]

Autoři: United States. Department of Transportation. Federal Aviation Administration. Office of Aviation. Office of Aerospace Medicine Slater, David Slater, Zoryanna [Zory] a další

Témata: Safety management, Certification, Aviation medicine, Aviation safety, Risk management, Coding systems, Data files, Analytic Code

URL: https://doi.org/10.21949/1529627
https://rosap.ntl.bts.gov/view/dot/72389

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

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

Luminescence Signal Analysis Using Python

Autoři: Vasilis Pagonis

Resource Type: eBook.

Témata: 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

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

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.

Autoři: Özbey, Mehmet Furkan Turhan, Cihan

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

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

Applied Time Series Analysis and Forecasting with Python

Autoři: Changquan Huang Alla Petukhina

Resource Type: eBook.

Témata: Python (Computer program language), Time-series analysis, Time-series analysis--Forecasting, Time-series analysis--Computer programs

Categories: MATHEMATICS / Probability & Statistics / General, BUSINESS & ECONOMICS / Econometrics, BUSINESS & ECONOMICS / Statistics, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Languages / Python, COMPUTERS / Mathematical & Statistical Software

Software Design for Python Programmers : Principles and Patterns

Autoři: Ronald Mak

Resource Type: eBook.

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

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

Autoři: Tarek A. Atwan

Resource Type: eBook.

Témata: Python (Computer program language), Machine learning

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

Time Series Analysis with Python Cookbook : Practical Recipes for Exploratory Data Analysis, Data Preparation, Forecasting, and Model Evaluation

Autoři: Tarek A. Atwan

Resource Type: eBook.

Témata: Machine learning, Python (Computer program language)

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

MoveApps: a serverless no-code analysis platform for animal tracking data.

Autoři: Kölzsch, Andrea Davidson, Sarah C. Gauggel, Dominik a další

Zdroj: Movement Ecology. 7/18/2022, Vol. 10 Issue 1, p1-12. 12p.