Suchergebnisse - (( (statement OR stat) python code analysis ) OR ( (stateless OR stateeed) python code analysis ))

HARP: Holistic Analysis for Refactoring Python-Based Analytics Programs.

Autoren: Weijie Zhou Yue Zhao Guoqiang Zhang et al.

Quelle: ICSE: International Conference on Software Engineering; 6/17/2020, p506-517, 12p

Schlagwörter: PYTHON programming language, MACHINE learning, DATA analytics, SOFTWARE engineering, COMPUTER software development

Towards Secure APIs: A Survey on RESTful API Vulnerability Detection.

Autoren: Tanveer, Fatima Iradat, Faisal Iqbal, Waseem et al.

Quelle: Computers, Materials & Continua; 2025, Vol. 84 Issue 3, p4223-4257, 35p

Schlagwörter: COMPUTER security vulnerabilities, WEB services, DETECTION algorithms, TAXONOMY, PENETRATION testing (Computer security), INTERNET security, CYBERTERRORISM

Mastering Geospatial Analysis with Python : Explore GIS Processing and Learn to Work with GeoDjango, CARTOframes and MapboxGL-Jupyter

Autoren: Silas Toms Paul Crickard Eric van Rees

Resource Type: eBook.

Schlagworte: Python (Computer program language), Geographic information systems

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

Functional Python Programming, 3rd Edition : Use a Functional Approach to Write Succinct, Expressive, and Efficient Python Code

Autoren: Steven F. Lott

Resource Type: eBook.

Schlagworte: Python (Computer program language), Functional programming (Computer science)

Categories: COMPUTERS / Programming / General, COMPUTERS / Programming / Object Oriented, COMPUTERS / Languages / Python

SuperflexPy 1.3.0: an open-source Python framework for building, testing, and improving conceptual hydrological models.

Autoren: Dal Molin, Marco Kavetski, Dmitri Fenicia, Fabrizio

Quelle: Geoscientific Model Development; 2021, Vol. 14 Issue 11, p7047-7072, 26p

Schlagwörter: HYDROLOGIC models, CONCEPTUAL models, COMPUTER software installation, PYTHON programming language, SOFTWARE architecture, DESIGN software

Object-Oriented Analysis and Design for Information Systems : Modeling with BPMN, OCL, IFML, and Python

Autoren: Raul Sidnei Wazlawick

Resource Type: eBook.

Schlagworte: Object-oriented methods (Computer science)

Categories: COMPUTERS / Data Science / General

Expert Python Programming : Become a Master in Python by Learning Coding Best Practices and Advanced Programming Concepts in Python 3.7

Autoren: Michał Jaworski Tarek Ziadé

Resource Type: eBook.

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

Categories: COMPUTERS / Languages / Python, COMPUTERS / Software Development & Engineering / Systems Analysis & Design, COMPUTERS / Internet / Application Development

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

Autoren: Marc Wintjen

Resource Type: eBook.

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

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

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: LANGUAGE models, EXPERIMENTAL design, PYTHON programming language, GENERATIVE pre-trained transformers, QUANTITATIVE research, BENCHMARK problems (Computer science), CODE generators

Expert Python Programming – Fourth Edition : Master Python by Learning the Best Coding Practices and Advanced Programming Concepts

Autoren: Michał Jaworski Tarek Ziade Tarek Ziadé

Resource Type: eBook.

Schlagworte: Python (Computer program language)

Categories: COMPUTERS / Languages / Python, COMPUTERS / Software Development & Engineering / Systems Analysis & Design, COMPUTERS / Internet / Application Development

CLM App: Interlamellar Distance of Pearlite via CLM Revisited and Automated.

Autoren: Zouhar, Martin Mikmeková, Šárka Hovjacký, Jan et al.

Quelle: Materials (1996-1944); Feb2026, Vol. 19 Issue 3, p635, 17p

Schlagwörter: AUTOMATION, IMAGE analysis, QUALITY control, MICROSTRUCTURE

Economic and Veterinary Evaluation of Pet Insurance in Türkiye: Potential, Role in Health, and Impact on Practice.

Autoren: GENÇGÖNÜL, Betül Zehra¹ betul.zehra@hacettepe.edu.tr

Quelle: Kafkas Üniversitesi Veteriner Fakültesi Dergisi. Jan/Feb2026, Vol. 32 Issue 1, p147-153. 7p.

Textual Financial Data Repository and Python Code for Machine Learning, AI, and Textual Analyses: Major Sections from 10-K, 10-Q, and Financial Statement Notes

Autoren: Mauricio Codesso Rani Hoitash Udi Hoitash

Comparative Analysis of AI Models for Python Code Generation: A HumanEval Benchmark Study.

Autoren: Bayram, Ali Menekse Dalveren, Gonca Gokce Derawi, Mohammad

Quelle: Applied Sciences (2076-3417); Sep2025, Vol. 15 Issue 18, p9907, 17p

Schlagwörter: ARTIFICIAL intelligence, PYTHON programming language, COMPARATIVE studies, EVALUATION methodology, BENCHMARK problems (Computer science), GENERATIVE pre-trained transformers, MACHINE learning, COMPUTER software development

The state of the late Quaternary megafauna extinction debate: a systematic review and analysis.

Autoren: Stewart, Mathew Peters, Carli Ziegler, Michael J. et al.

Quelle: Frontiers in Mammal Science. 2025, p1-27. 27p.

Eating Disorders in People Who Identify as Gender-Diverse: Associations Between Gender Diversity, Eating Disorder Diagnosis, Minority Stress Experiences and Mental Health Comorbidity.

Autoren: Murphy, Rebecca Sharpe, Helen

Quelle: Nutrients. Feb2026, Vol. 18 Issue 3, p458. 24p.

Portable Electronic Olfactometer for Non-Invasive Screening of Canine Ehrlichiosis: A Proof-of-Concept Study Using Machine Learning.

Autoren: Durán Cotrina, Silvana Valentina Acevedo, Cristhian Manuel Durán Carrillo Gómez, Jeniffer Katerine

Quelle: Veterinary Sciences. Jan2026, Vol. 13 Issue 1, p88. 20p.

A statistical approach to automated analysis of the low‐contrast object detectability test for the large ACR MRI phantom.

Autoren: Golestani, Ali M. Gee, Julia M.

Quelle: Journal of Applied Clinical Medical Physics; Jul2025, Vol. 26 Issue 7, p1-9, 9p

Schlagwörter: LINEAR statistical models, IMAGING phantoms, QUALITY control, PYTHON programming language, MAGNETIC resonance imaging

Regularized Maximum Likelihood Estimation for the Random Coefficients Model in Python.

Autoren: Dunker, Fabian Mendoza, Emil Reale, Marco

Quelle: Mathematics (2227-7390); Dec2025, Vol. 13 Issue 23, p3764, 29p

Schlagwörter: PYTHON programming language, MAXIMUM likelihood statistics, CONSUMPTION (Economics), MATHEMATICAL programming, MULTILEVEL models, SCIENTIFIC computing

Varietal Differences in Kidney Beans Modulate Gut Microbiota and Inflammation During High-Fat Diet-Induced Obesity in Male Mice.

Autoren: Rodrigue, Alexane F. Pereira, Bruna B. Freije, Giorgio et al.

Quelle: Nutrients. Feb2026, Vol. 18 Issue 3, p461. 34p.