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    Data Bloom 2025: Visualize with Python by Sarah Siddiqui (16670961)

    Published 2025
    “…<p dir="ltr">Data Bloom: Visualize with Python will be presented via Zoom on Monday, October 6, 2025 as part of the Fall 2025 Data Bloom workshop series.…”
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    Data Bloom 2024: Visualize with Python by Vansh Desai (20309584)

    Published 2025
    “…<p dir="ltr">Data Bloom: Visualize with Python was presented via Zoom on Friday, November 1, 2024 as part of the Fall 2024 Data Bloom workshop series.…”
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    PyGMT – Accessing and Integrating GMT with Python and the Scientific Python Ecosystem (AGU24, U12B-05) by Yvonne Fröhlich (20442683)

    Published 2024
    “…PyGMT integrates smoothly within the Scientific Python ecosystem. In addition to standard file formats such as ASCII and NetCDF files, common Pythonic data structures for tabular and grid data such as numpy.ndarray, pandas.DataFrame, geopandas.GeoDataFrame, and xarray.DataArray are supported. …”
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    BSTPP: a python package for Bayesian spatiotemporal point processes by Isaac Manring (20705955)

    Published 2025
    “…There is a lack of packages with the ability to perform inference for these models, particularly in python. Thus we present BSTPP a python package for Bayesian inference on spatiotemporal point processes. …”
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    Tree file outputs from the phylogenetic analyses of the genus Python by Krystal Tolley (9093161)

    Published 2025
    “…In addition, fossil evidence was appraised as supporting evidence for distribution but also to evaluate the hypothesis that large pythons (e.g., <u>></u> 6 m in body length) are restricted to warmer climatic zones, and this would be likely to influence their historical and present-day distributions. …”
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    Data Sheet 1_osl-ephys: a Python toolbox for the analysis of electrophysiology data.docx by Mats W. J. van Es (20762876)

    Published 2025
    “…Here, we introduce osl-ephys by presenting examples applied to a publicly available M/EEG data (the multimodal faces dataset). osl-ephys is open-source software distributed on the Apache License and available as a Python package through PyPi and GitHub.…”