Search Results - Python Programming Language Version 3.10

Determination of Alzheimer's Disease Stages by Artificial Learning Algorithms

Authors: Bulut, Nurgül Çakar, Tuna Arslan, İlker et al.

Source: International Journal of Statistics in Medical Research. 14:532-542

Subject Terms: Matplotlib 3.6.0, Adult, Explainable Artificial Intelligence, Scikit-Learn 1.1.3, Major Clinical Study, Neuropsychiatric Inventory, Deep Neural Network, Python Programming Language Version 3.10, Learning Algorithm, Alzheimer's Disease, Sensitivity and Specificity, Article, Machine Learning, Python Libraries Numpy 1.23.0, Artificial Intelligence, Alzheimer Disease, Controlled Study, Neuropathology, Artificial Learning Algorithm, Aged, Principal Component Analysis, Tensorflow 2.10, Nuclear Magnetic Resonance Imaging, Random Forest, Receiver Operating Characteristic, National Alzheimer's Coordinating Center, Depression, Bayesian Learning, Geriatric Depression Scale, Machine Learning Algorithm, Mini Mental State Examination, Decision Support System, Shapley Addictive Explanations, Statsmodel 0.13.5, Logistic Regression Analysis, Montreal Cognitive Assessment, Physician, Pandas 1.5.0, Diagnostic Test Accuracy Study, Cognitive Defect, XGBoost, Human

Access URL: https://hdl.handle.net/20.500.11779/3094
https://doi.org/10.6000/1929-6029.2025.14.50

pyMKM: An Open-Source Python Package for Microdosimetric Kinetic Model Calculation in Research and Clinical Applications.

Authors: Magro, Giuseppe Pavanello, Vittoria Jia, Yihan et al.

Source: Computation; Nov2025, Vol. 13 Issue 11, p264, 21p

Subject Terms: MICRODOSIMETRY, RADIATION dosimetry, COMPUTER simulation, PYTHON programming language, OPEN source software, PHYSIOLOGICAL effects of radiation

Development of Open-Source Tools for Event-Based Hydrological Modelling Using GIS and Python.

Authors: Almeida-Ñauñay, Andrés F. Sanz, Ernesto Berlanga, Antonio et al.

Source: Water (20734441); Jul2025, Vol. 17 Issue 14, p2160, 24p

Subject Terms: HYDROLOGIC models, GEOGRAPHIC information systems, OPEN source software, WATERSHEDS, GEOSPATIAL data, PYTHON programming language, WATER management, DISCRETE event simulation

Geographic Terms: EBRO River (Spain)

An optimal deep feature–based AI chat conversation system for smart medical application.

Authors: Lal, Mily Neduncheliyan, S.

Source: Personal & Ubiquitous Computing; Aug2023, Vol. 27 Issue 4, p1483-1494, 12p

Subject Terms: CHATBOTS, ARTIFICIAL intelligence, ONLINE chat, PYTHON programming language, CONVERSATION

Computer Vision System: Measuring Displacement and Bending Angle of Ionic Polymer-Metal Composites.

Authors: Manaf, Eyman Fitzgerald, Karol Higginbotham, Clement L. et al.

Source: Applied Sciences (2076-3417); Jul2022, Vol. 12 Issue 13, pN.PAG-N.PAG, 16p

Subject Terms: PYTHON programming language, COMPUTER systems, COMPUTER vision, STANDARD deviations, MATHEMATICAL formulas, MATHEMATICAL functions, ANGLES

Python 3: Features Every Developer Should Know Of. (cover story)

Authors: Kairi, Sourav

Source: Open Source For You; Jun2025, Vol. 13 Issue 8, p51-57, 7p

Subject Terms: MULTICORE processors, PROGRAMMING languages, REFUSE collection, DATA structures, RAPID response teams, PYTHON programming language, PARSING (Computer grammar)

Less is More? An Empirical Study on Configuration Issues in Python PyPI Ecosystem.

Authors: Peng, Yun Hu, Ruida Wang, Ruoke et al.

Source: ICSE: International Conference on Software Engineering; 2024, p1-12, 12p

Subject Terms: EMPIRICAL research, PYTHON programming language, PROGRAMMING languages, ECOSYSTEMS, BENCHMARKING (Management)

Python in a Nutshell

Authors: Alex Martelli Anna Martelli Ravenscroft Steve Holden et al.

Resource Type: eBook.

Subjects: Python (Computer program language)

Categories: COMPUTERS / Languages / Python, COMPUTERS / Computer Science, COMPUTERS / Data Science / General, COMPUTERS / Software Development & Engineering / General, COMPUTERS / Programming / Open Source, COMPUTERS / Internet / Web Programming

On the Use of LLMs for GIS-Based Spatial Analysis.

Authors: Pierdicca, Roberto Muralikrishna, Nikhil Tonetto, Flavio et al.

Source: ISPRS International Journal of Geo-Information; Oct2025, Vol. 14 Issue 10, p401, 28p

Subject Terms: GEOGRAPHIC information systems, GEOGRAPHIC spatial analysis, PYTHON programming language, USER interfaces, AUTOMATION software, GENERATIVE pre-trained transformers, COMPUTER performance, USER-centered system design

THE PYTHON PROGRAMMING LANGUAGE: Numerical Analysis/Machine Learning Series.

Authors: Doskas, Constantinos

Source: ISSA Journal; Mar/Apr2025, Vol. 23 Issue 2, p23-25, 3p

Subject Terms: MACHINE learning, PYTHON programming language, DEEP learning, ARTIFICIAL neural networks, NUMERICAL analysis, DATA structures, COMPUTER vision

Developing Graphics Frameworks with Python and OpenGL

Authors: Lee Stemkoski Michael Pascale

Resource Type: eBook.

Subjects: Python (Computer program language), Computer graphics--Computer programs, Computer graphics--Mathematics

Categories: COMPUTERS / Software Development & Engineering / Computer Graphics, COMPUTERS / Programming / Games, COMPUTERS / Computer Science, COMPUTERS / Programming / General, COMPUTERS / Languages / Python, COMPUTERS / Programming / Open Source

Forecasting: Principles and Practice, the Pythonic Way.

Authors: HOOVER, JIM

Source: Foresight: The International Journal of Applied Forecasting; 2025Q4, Issue 79, p46-48, 3p

Subject Terms: FORECASTING, PYTHON programming language, ARTIFICIAL intelligence, SOURCE code, STATISTICAL sampling

A Q-analysis package for higher-order interactions analysis in Python and its application in network physiology.

Authors: Smirnov, Nikita Kurkin, Semen Hramov, Alexander E.

Source: Frontiers in Network Physiology; 2025, p1-21, 21p

Subject Terms: PYTHON programming language, FUNCTIONAL magnetic resonance imaging, FUNCTIONAL connectivity

Analysis and Prediction of Concentration Polarization in a Pilot Reverse Osmosis Plant with Seawater at Different Concentrations Using Python Software.

Authors: Álvarez-Sánchez, Jesús Dévora-Isiordia, Germán Eduardo Villegas-Peralta, Yedidia et al.

Source: Processes; Oct2025, Vol. 13 Issue 10, p3139, 19p

Subject Terms: REVERSE osmosis, PREDICTION models, SALINIZATION, SALINE water conversion, WATER supply management, PYTHON programming language, CONCENTRATION gradient, ARTIFICIAL membranes

AdaGram in Python: An AI Framework for Multi-Sense Embedding in Text and Scientific Formulas.

Authors: Arokiaraj, Arun Josephraj Ibrahim, Samah Then, André et al.

Source: Mathematics (2227-7390); Jul2025, Vol. 13 Issue 14, p2241, 27p

Subject Terms: PYTHON programming language, LATEX, SEMANTICS, MATHEMATICAL notation, CONTEXTUALISM (Philosophy), ALGORITHMS

"EL LENGUAJE PYTHON Y SU POTENCIAL EN EL DESARROLLO DE SOFTWARE DE INTELIGENCIA ARTIFICIAL". (Spanish)

Authors: Monroy Alfaro, Carlos Roberto

Source: Masferrer Investiga: Revista Científica de la Universidad Salvadoreña Alberto Masferrer; Mar2022, Vol. 12 Issue 1, p18-41, 24p

Subject Terms: ARTIFICIAL intelligence, COMPUTER software development, PYTHON programming language, APPLICATION software, DATA analysis

Sire: An interoperability engine for prototyping algorithms and exchanging information between molecular simulation programs.

Authors: Woods, Christopher J. Hedges, Lester O. Mulholland, Adrian J. et al.

Source: Journal of Chemical Physics; 5/28/2024, Vol. 160 Issue 20, p1-10, 10p

Subject Terms: SIMULATION software, INFORMATION sharing, ALGORITHMS, MOLECULAR dynamics, NONPROFIT organizations, INTERNETWORKING, PYTHON programming language

ModuleGuard: Understanding and Detecting Module Conflicts in Python Ecosystem.

Authors: Zhu, Ruofan Wang, Xingyu Liu, Chengwei et al.

Source: ICSE: International Conference on Software Engineering; 2024, p1-12, 12p

Subject Terms: PYTHON programming language, COMPUTER software development, INTEGRATED software, NAMESPACE (Computer science), SOFTWARE engineering

Soft Actor-Critic Reinforcement Learning Improves Distillation Column Internals Design Optimization.

Authors: Fortela, Dhan Lord B. Broussard, Holden Ward, Renee et al.

Source: ChemEngineering; Apr2025, Vol. 9 Issue 2, p34, 20p

Subject Terms: REINFORCEMENT learning, CHEMICAL processes, MACHINE learning, CHEMICAL models, INTEGRATED software, PYTHON programming language

Glucostats: an efficient Python library for glucose time series feature extraction and visual analysis.

Authors: Peiro-Corbacho, Pablo Lara-Abelenda, Francisco J. Chushig-Muzo, David et al.

Source: BMC Bioinformatics; 9/24/2025, Vol. 26 Issue 1, p1-16, 16p

Subject Terms: CONTINUOUS glucose monitoring, TIME series analysis, IMAGE analysis, GLUCOSE, PYTHON programming language, FEATURE extraction, UTILITIES (Computer programs), DATA visualization