Search alternatives:
practical implications » practical applications (Expand Search), practical application (Expand Search)
Showing 21 - 40 results of 125 for search '(( python plot representing ) OR ( python practical implications ))', query time: 0.36s Refine Results
  1. 21
  2. 22
  3. 23
  4. 24

    Genomic view of archaeal and bacterial diversity in skeleton of coral Porites lutea and Isopora palifera by Kshitij Tandon (9398705)

    Published 2022
    “…From inner to outer, Innermost circle represents MAGs color coded at bacterial class level, heatmap represents different ELP categories (Inner to outer: HEAT repeats; WD domain repeats, WD40; Ankyrin Repeats, ARPs; and Tetratricopeptide repeats, TPRs) and Bar plot represent total ELP counts in MAGs. …”
  5. 25
  6. 26
  7. 27
  8. 28
  9. 29

    Creation of adjacency plots. by Laura Muñoz-Baena (9911640)

    Published 2022
    “…Finally, we used a Python script to generate dot files using Graphviz. …”
  10. 30

    [DATASET] How do rift-related fault network distributions evolve? by Sophie Pan (12484179)

    Published 2023
    “…Alternatively there is an option to generate an equivalent excel file, but whereby each row represents an x, y coordinate (with the associated label represented as a unique accessible index) – this option works better for plotting the results and the option to generate this is given in the input.py script and jupyter notebooks.…”
  11. 31

    Developing a community of practice for implementation of combustion concepts in undergraduate courses. by Jacqueline O’Connor (6556856)

    Published 2019
    “…First, we will develop and disseminate case studies based on current events or relevant technologies that highlight both important combustion fundamentals as well as broader implications like ethics, health, and society. Second, we will develop computational exercises using interactive Jupyter notebooks and the Python interface to Cantera. …”
  12. 32

    A comparison between the static Python-based visualizations of the p65 activity in activated fibroblasts and the dynamic, HTML-based visualizations that use these same reduction me... by Hector Torres (11708207)

    Published 2025
    “…<p><b>(a)</b> UMAP, t-SNE, PCA, and Diffmap were first generated using the Python libraries Scikit-learn, UMAP, and PyDiffmap within Jupyter to generate static graphs as a starting point. …”
  13. 33
  14. 34
  15. 35
  16. 36

    PTPC-UHT bounce by David Parry (22169299)

    Published 2025
    “…</p><p dir="ltr">Included files:</p><ul><li>Python source code (<code>PTPC_UHT_bounce.py</code>)</li><li>Parameter sets for representative runs (α,β,Tcrit,V(T)\alpha, \beta, T_{\mathrm{crit}}, V(T)α,β,Tcrit​,V(T))</li><li>Output arrays of trajectories across multiple bounces</li><li>Multi-panel plots (PNG/PDF) for a(t)a(t)a(t), H(t)H(t)H(t), T(t)T(t)T(t), S(t)S(t)S(t), R(t)R(t)R(t), and ρT\rho_TρT​</li></ul><p dir="ltr">This dataset ensures full reproducibility of the PTPC simulations and provides a starting point for independent verification, parameter exploration, and future model extensions.…”
  17. 37
  18. 38
  19. 39

    Data for "A hollow fiber membrane permeance evaluation device demonstrating outside-in and inside-out performance differences" by Timothy Warner (20222838)

    Published 2025
    “…</li><li>Flux decline data generated by the analysis software.</li><li>Plot data derived from the above data sources.</li><li>Python code to generate figures from the plot data.…”
  20. 40