Search Results - (( (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

Authors: Zhao, Wenting Abdelaziz, Ibrahim Dolby, Julian et al.

Index Terms: 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.

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

Measurement and Development for Automated Secure Coding Solutions

Authors: Frantz, Miles Eugene

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

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

File Description: ETD; application/pdf

Availability: 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.

Authors: Hejczyk, Tomasz Wrotniak, Jarosław Powroźnik, Paulina et al.

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

Subject Terms: *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

Authors: Ma, Wei Liu, Shangqing Lin, Zhihao et al.

Index Terms: Computer Science - Software Engineering, Computer Science - Artificial Intelligence, text

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

Python code analysis and figures - intensity zones

Authors: Fredrik Mentzoni

Subject Terms: Sports science and exercise not elsewhere classified, sports scienes

Availability: 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

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

Index Terms: Astrophysics - High Energy Astrophysical Phenomena, text

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

Static Analysis of Corpus of Source Codes of Python Applications.

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

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

Subject Terms: *SOURCE code, *PYTHONS, *PYTHON programming language, *CORPORA, *ROBBERS

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

Authors: He, Xincheng Liu, Xiaojin Xu, Lei

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

Subject Terms: *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]

Authors: United States. Department of Transportation. Federal Aviation Administration. Office of Aviation. Office of Aerospace Medicine Slater, David Slater, Zoryanna [Zory] et al.

Index Terms: 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

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

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

Availability: 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

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

Luminescence Signal Analysis Using Python

Authors: Vasilis Pagonis

Resource Type: eBook.

Subjects: 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

Authors: Malthe-Sørenssen, Anders

Subject Terms: 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

File Description: application/pdf

Relation: Lecture Notes in Physics

Access URL: 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.

Authors: Özbey, Mehmet Furkan Turhan, Cihan

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

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

Applied Time Series Analysis and Forecasting with Python

Authors: Changquan Huang Alla Petukhina

Resource Type: eBook.

Subjects: 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

Authors: 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

Authors: Tarek A. Atwan

Resource Type: eBook.

Subjects: 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

Authors: Tarek A. Atwan

Resource Type: eBook.

Subjects: 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.

Authors: Kölzsch, Andrea Davidson, Sarah C. Gauggel, Dominik et al.

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