Výsledky vyhledávání - Python Visualization Tools (Matplotlib, Plotly)

Modeling and Simulation of Combustion in Python

Autoři: Sadeq, Abdellatif

Témata: Alternative Fuels, Ignition Delay, Optimization Techniques, combustion modeling, Turbulence-Chemistry Interaction, Python Programming, Transport Phenomena, Pollutant Emissions, Heat Transfer, Hydrogen Combustion, Sensitivity Analysis, Advanced Sensitivity Frameworks, Machine Learning in Combustion, Python Visualization Tools (Matplotlib, Plotly), Chemical Kinetics, Multi-phase Combustion, Cantera Library, Reaction Mechanisms, Numerical Simulation, Flame Dynamics

*'Comparative Analysis of 3D Plotting Techniques for Multidimensional Data in Scientific Computing: Performance Metrics, Human Perception, and Cross-Domain Applications'* ; Alternative Titles: 1. 'From Static to Interactive: Evaluating 3D Visualization Tools for Scientific Data in Python' 2. 'Seeing Beyond the Plane: A Systematic Study of 3D Data Representation in Computational Research' 3. 'Benchmarking 3D Plotting Libraries: A Multidisciplinary Perspective on Matplotlib, Plotly, and PyVista' 4. 'The Art of Multidimensional Storytelling: How 3D Visualization Techniques Impact Scientific Insight' ; Subtitles: • *'Quantifying the Trade-offs: Speed vs. Interactivity in 3D Scientific Visualization'* • 'Color, Depth, and Cognition: Designing Effective 3D Plots for Human Interpretation' • *'From Physics to Genomics: Domain-Specific Best Practices for 3D Data Representation'* • 'Beyond the Benchmark: How Tool Selection Influences Research Outcomes in Computational Science'

Autoři: geruganti, sudhakar orcid:0009-0000-0039-

Relation: https://zenodo.org/records/16760411; oai:zenodo.org:16760411; https://doi.org/10.5281/zenodo.16760411

Dostupnost: https://doi.org/10.5281/zenodo.16760411
https://zenodo.org/records/16760411

Satellite Orbit Classification and Visualization Using TLE Data

Autoři: Rudraksh Shukla

Témata: Space debris, Satellite tracking, Satellite orbits, Orbit visualization, Risk zone classification, Space situational awareness, Data visualization, Python, Skyfield, Matplotlib, Plotly, Educational project, Space research, 3D satellite visualization, Low Earth Orbit, Medium Earth Orbit, Geostationary Orbit

The Integration of Data Science and Data Visualization: Achieving Digestible Insights Through Contemporary Platforms

Autoři: Kiljan, Meredith

Témata: matplotlib, ethical data visualization, plotly, big data, power bi, data visualization, data science, tableau, usability in visualization, augmented reality in visualization, python visualization libraries, adaptive visualizations, interactive dashboards, complex data sets

Python tools for structural tasks in chemistry.

Autoři: Ryzhkov, Fedor V. Ryzhkova, Yuliya E. Elinson, Michail N.

Zdroj: Molecular Diversity; Aug2025, Vol. 29 Issue 4, p3733-3752, 20p

Modelling Bodies in Static Equilibrium Using Python Programming: Bridging Theory and Practice.

Autoři: Chan, Choon Kit Dumka, Pankaj Dodiya, Kuldip a další

Zdroj: Mathematical Modelling of Engineering Problems; Jun2025, Vol. 12 Issue 6, p2195-2201, 7p

Témata: RIGID bodies, NUMERICAL analysis, PROBLEM solving, PYTHONS, ENGINEERING students

Impact Of Data Visualization In Data Analysis To Improve The Efficiency Of Machine Learning Models.

Autoři: Shinde, Bhakti Govind Shivthare, Sunayana

Zdroj: Journal of Advanced Zoology. 2024 Supplement, Vol. 45, p107-112. 6p.

Towards Spatial Data Visualization With Python: Unveiling Geographic Patterns and Trends

Autoři: Soressa Beyene Lemu Desalegn Aweke Wako Tesfaye Fufa a další

Zdroj: Advances in Geospatial Technologies ISBN: 9798369317549

Technical note: ShinyAnimalCV: open-source cloud-based web application for object detection, segmentation, and three-dimensional visualization of animals using computer vision.

Autoři: Wang, Jin Hu, Yu Xiang, Lirong a další

Zdroj: Journal of Animal Science. 2024, Vol. 102, p1-6. 6p.

Témata: Science education, Object recognition (Computer vision), Three-dimensional imaging, Machine learning, Animal communities, Deep learning, Computer vision

Data science for pattern recognition in agricultural large time series data: A case study on sugarcane sucrose yield

Autoři: Laura Valentina Bautista-Romero Juan David Sánchez-Murcia Joaquín Guillermo Ramírez-Gil

Zdroj: Heliyon, Vol 11, Iss 4, Pp e42632- (2025)

Témata: Data cleaning, Visualization tools, Machine learning, Frequentist model, Digital tools, Science (General), Q1-390, Social sciences (General), H1-99

Popis souboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2405844025010126; https://doaj.org/toc/2405-8440

Přístupová URL adresa: https://doaj.org/article/4873b8a385b54094b6ac8dab0acb89ce

ChinaVis24.MapCraft: dissecting and designing custom geo-infographics.

Autoři: Zhang, Xinyuan Xu, Yifan Li, Kaiwen a další

Zdroj: Journal of Visualization; Aug2025, Vol. 28 Issue 4, p837-857, 21p

The Application of Artificial Intelligence in Business Segmentation.

Autoři: Agova, Paulina Valcheva, Donika Asenov, Oleg

Zdroj: BRAIN: Broad Research in Artificial Intelligence & Neuroscience; Sep2025, Vol. 16 Issue 3, p74-85, 12p

Témata: ARTIFICIAL intelligence, MARKET segmentation, MARKETING research, MACHINE learning, MARKETING strategy, DATA analysis, AUTOMATION software

Enhancing Geographical Data Visualization through Python: A Comprehensive Study

Autoři: Shubham Sharma Amit Kumar Bansal

Zdroj: International Journal of Psychosocial Rehabilitation. :1819-1824

Grafičko izvještavanje o biološkim podacima u Pythonu

Autoři: Maljković, Jelena Kalinić, Hrvoje Krpan, Divna a další

Přispěvatelé: Maljković, Jelena Kalinić, Hrvoje Krpan, Divna a další

Témata: python, matplotlib, data visualisation, data exploration, plotly, bokeh

Popis souboru: application/pdf

Přístupová URL adresa: https://urn.nsk.hr/urn:nbn:hr:166:024783

Grafičko izvještavanje o biološkim podacima u Pythonu ; Biological data visualisation and reporting in Python

Autoři: Maljković, Jelena Kalinić, Hrvoje

Přispěvatelé: Maljković, Jelena Kalinić, Hrvoje

Témata: TEHNIČKE ZNANOSTI. Računarstvo, TECHNICAL SCIENCES. Computing, python, matplotlib, plotly, bokeh, vizualizacija podataka, pretraživanje podataka, data visualisation, data exploration

Popis souboru: application/pdf

Relation: https://repozitorij.svkst.unist.hr/islandora/object/pmfst:1047; https://urn.nsk.hr/urn:nbn:hr:166:024783; https://repozitorij.svkst.unist.hr/islandora/object/pmfst:1047/datastream/PDF

Dostupnost: https://repozitorij.svkst.unist.hr/islandora/object/pmfst:1047
https://urn.nsk.hr/urn:nbn:hr:166:024783
https://repozitorij.svkst.unist.hr/islandora/object/pmfst:1047/datastream/PDF

A user study of visualisations of spatio-temporal eye tracking data: A user study of visualisations of spatio-temporal eye tracking data: M. Claus et al.

Autoři: Claus, Marcel Hermens, Frouke Bromuri, Stefano

Zdroj: Journal of Visualization; Feb2025, Vol. 28 Issue 1, p153-169, 17p

A computational pipeline for image-based statistical analysis of biomolecular condensates dynamics using morphological descriptors.

Autoři: Rosa E Silva I Gurian Dariani G Benevenutti FZ a další

Zdroj: Scientific reports [Sci Rep] 2025 Jul 29; Vol. 15 (1), pp. 27560. Date of Electronic Publication: 2025 Jul 29.

Způsob vydávání: Journal Article

Informace o časopise: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE

Výrazy ze slovníku MeSH: Biomolecular Condensates*/chemistry , Biomolecular Condensates*/metabolism , Image Processing, Computer-Assisted*/methods , Computational Biology*/methods, Humans ; Principal Component Analysis ; DEAD-box RNA Helicases/chemistry ; DEAD-box RNA Helicases/metabolism ; DEAD-box RNA Helicases/genetics

Mapping the evolution of pediatric craniopharyngioma research: a bibliometric analysis.

Autoři: Frome S Dastagirzada Y Kurland D a další

Zdroj: Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery [Childs Nerv Syst] 2025 Nov 29; Vol. 41 (1), pp. 389. Date of Electronic Publication: 2025 Nov 29.

Způsob vydávání: Journal Article

Informace o časopise: Publisher: Springer International Country of Publication: Germany NLM ID: 8503227 Publication Model: Electronic Cited Medium: Internet ISSN: 1433-0350 (Electronic) Linking ISSN: 02567040 NLM ISO Abbreviation: Childs Nerv Syst Subsets: MEDLINE

Výrazy ze slovníku MeSH: Bibliometrics* , Biomedical Research* , Craniopharyngioma*/surgery , Craniopharyngioma*/therapy , Pituitary Neoplasms*/surgery , Pituitary Neoplasms*/therapy, Child ; Humans ; Pediatrics

The Python Data Visualization Landscape in 2020

Autoři: Bence Arató Kompetenzzentrum für nicht-textuelle Materialien

Přispěvatelé: Bence Arató Kompetenzzentrum für nicht-textuelle Materialien

Témata: Computer Science, Studienbereich Informatik, Ingenieurwissenschaften

Relation: https://av.tib.eu/media/49993

Dostupnost: https://av.tib.eu/media/49993

Election Analysis Using Data Science

Autoři: Shaik Zaheer Pasha Abdul Rahman

Zdroj: Indian Journal of Computer Science and Technology. :01-05