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  1. 141

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

    Published 2025
    “…</p><p dir="ltr">Workshop Description: Want to use Python to visualize your dataset? In this workshop, we will use libraries such as Matplotlib, Seaborn, and more to create meaningful plots. …”
  2. 142

    Tools used in implementing the RNN models. by Fahmi H. Quradaa (17896527)

    Published 2024
    “…In addition, more research is needed to investigate the capabilities of the recurrent neural network techniques for identifying semantic clones across different programming languages and binary codes. The development of standardized benchmarks for languages like Python, Scratch, and C#, along with cross-language comparisons, is essential. …”
  3. 143

    Real-Time Optical Imaging Acquisition and Processing in Python: A Practical Guide Using CAS: Code Repository by Michael Hughes (8821646)

    Published 2025
    “…<p dir="ltr">Real-time data acquisition and processing is an important step in the development of new approaches to optical imaging in the research lab. Python is increasingly used for scientific computing, and allows for straightforward application of artificial intelligence models using popular frameworks such as PyTorch. …”
  4. 144

    WEDAP: A Python Package for Streamlined Plotting of Molecular Simulation Data by Darian T. Yang (12321348)

    Published 2024
    “…Here, we present the WEDAP Python package for simplifying the analysis of data generated from either conventional MD simulations or the weighted ensemble (WE) path sampling method, as implemented in the widely used WESTPA software package. …”
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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
    “…</p><p dir="ltr">PyGMT (<a href="https://www.pygmt.org/" target="_blank">https://www.pygmt.org/</a>) wraps around the very fast GMT C code to make it accessible through the Python programming language. The introduction of meaningful aliases for the single-letter flags (e. g., "region" for "R" or "projection" for "J") and ongoing efforts regarding a more Pythonic syntax for GMT arguments significantly increase user-friendliness and readability of the code. …”