Suchergebnisse - "Python Visualization"

Nagesh's Lineage Plotter: 3D Visualization of Generational Evolution representing Circle of Life

Autoren: Nagesh, K

Schlagwörter: generational modeling, lineage plotting, 3D visualization, Python visualization, AI simulation, vector graphics, generational simulation, Circle of Life

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

Autoren: Kiljan, Meredith

Schlagwörter: 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

Modeling and Simulation of Combustion in Python

Autoren: Sadeq, Abdellatif

Schlagwörter: 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

A Comparative Study of Data Visualization Tools and Their Practical Applications

Autoren: Dr. V. Maria Antoniate Martin, S. Karthik

Quelle: International Journal of Sciences and Innovation Engineering; Vol. 2 No. 9 (2025): IJSCI VOLUME-02 ISSUE-09 SEPTEMBER 2025; 1027-1030 ; 3049-0251

Schlagwörter: Data Visualization, Visualization Tools, Interactive Dashboards, Business Intelligence, Open-Source Libraries, Python Visualization, GIS Integration

Dateibeschreibung: application/pdf

Relation: https://ijsci.com/index.php/home/article/view/645/IJSCI02092025117; https://ijsci.com/index.php/home/article/view/645

Verfügbarkeit: https://ijsci.com/index.php/home/article/view/645
https://doi.org/10.70849/IJSCI

A New Perspective on Proving the Collatz Conjecture

Autoren: AL-ABSI, AHMED ABDO SALEH AHMED

Schlagwörter: Collatz Conjecture, recursive proof, number theory, inverse transformation, structural convergence, generational tree, G1 convergence, Collatz graph, recursive anchor, logic closure, uniqueness theorem, deterministic mapping, Python visualization, Rust implementation, mathematical convergence, nontrivial cycle exclusion

Relation: https://zenodo.org/records/15250307; oai:zenodo.org:15250307; https://doi.org/10.5281/zenodo.15250307

Verfügbarkeit: https://doi.org/10.5281/zenodo.15250307
https://zenodo.org/records/15250307

Visualizing Discrete and Continuous Structures: Daisy Trees, Phase-State Surfaces, Exotic Loops, and Curvature Anomalies

Autoren: Emmerson, Parker, Yaohushuason

Schlagwörter: fractal dimension, symbolic router, NetworkX, Julia set, Hamiltonian structure, spectral graph theory, truncated series, modal phase, vortex field, Grothendieck construction, PV velocity, continuation stacks, q-daisy advection, NumPy, computational geometry, operator Pythagoras, golden ratio modulation, environment collapse, complex analysis, presheaf topos, orthogonalized defect, damping factor, anti-holomorphic quadratic map, categorical semantics, exotic loops, resistance distance, modal fiber bundle, non-holomorphic dynamics, daisy tree, reproducible research, fractal rendering, convergence analysis, complex dynamics, incompressible flow, tile-based PV field, q-regular tree, Bethe lattice, orthogonal projection, curvature anomaly, Lyapunov exponents, Weierstrass M-test, gradient-based advection, Matplotlib, information dimension, Python visualization, echo residual, escape radius, graph visualization, streamlines, phase-state function

Optimizing Task Allocation in the LHC Computing Grid for the High-Luminosity LHC Using a Heuristic Approach

Autoren: Berger, Teodor

Schlagwörter: LHC Computing Grid, HL-LHC, task allocation, optimization, heuristic algorithm, energy efficiency, Python, visualization

The impact of sea-level rise in numerically modeled landfalling hurricanes: Katrina and the gulf coast.

Autoren: Mercuri, Serenity Nadirah

Quelle: Electronic Theses and Dissertations

Schlagwörter: Numerical modeling, weather forecasting, sea-level rise, climate change, hurricane Katrina, tropical cyclones, meteorology, geoscience, geography, python visualization, Atmospheric Sciences, Climate, Earth Sciences, Environmental Sciences, Mathematics, Oceanography and Atmospheric Sciences and Meteorology, Other Earth Sciences, Other Environmental Sciences, Other Physical Sciences and Mathematics, Other Physics, Physical Sciences and Mathematics, Physics

Dateibeschreibung: application/pdf

Relation: https://ir.library.louisville.edu/etd/3901; https://ir.library.louisville.edu/context/etd/article/5102/viewcontent/Serenity_Mercuri_Thesis.pdf

Verfügbarkeit: https://ir.library.louisville.edu/etd/3901
https://doi.org/10.18297/etd/3901
https://ir.library.louisville.edu/context/etd/article/5102/viewcontent/Serenity_Mercuri_Thesis.pdf

Shai Vaingast's Beginning Python Visualization (Apress).

Quelle: Linux Journal. Apr2009, Issue 180, p44-44. 1/5p.

Schlagwörter: *VISUAL programming languages (Computer science), NONFICTION

Reviews & Products: BEGINNING Python Visualization: Crafting Visual Transformation Scripts (Book)

People: VAINGAST, Shai