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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. …”
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    ADT: A Generalized Algorithm and Program for Beyond Born–Oppenheimer Equations of “<i>N</i>” Dimensional Sub-Hilbert Space by Koushik Naskar (7510592)

    Published 2020
    “…In order to establish the workability of our program package, we selectively choose six realistic molecular species, namely, NO<sub>2</sub> radical, H<sub>3</sub><sup>+</sup>, F + H<sub>2</sub>, NO<sub>3</sub> radical, C<sub>6</sub>H<sub>6</sub><sup>+</sup> radical cation, and 1,3,5-C<sub>6</sub>H<sub>3</sub>F<sub>3</sub><sup>+</sup> radical cation, where two, three, five and six electronic states exhibit profound nonadiabatic interactions and are employed to compute diabatic PESs by using <i>ab initio</i> calculated adiabatic PESs and NACTs. …”
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    Python Integration of Acceleration to PPV vs Distance by PAUL KIOKO (15912428)

    Published 2024
    “…<p dir="ltr">The use of Python programming language to integrate acceleration vs distance to Peak Particle velocity vs distance away from the train vibration source</p>…”
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    BeeGOns! End Node - Python code by Manuel Castillo-Cara (12151920)

    Published 2022
    “…Programming phase in Python sources<div><br></div><div>Abstract: The widespread deployment of sensors interconnected by wireless links, together with the management and exploitation of the data collected have given rise to the concept of Internet of Things (IoT). …”
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    Open Data Package for Article "Exploring Complexity Issues in Junior Developer Code using Static Analysis and FCA" by Arthur-Jozsef Molnar (8884949)

    Published 2024
    “…<p dir="ltr">The present dataset include the SonarQube issues uncovered as part of our exploratory research targeting code complexity issues in junior developer code written in the Python or Java programming languages. The dataset also includes the actual rule configurations and thresholds used for the Python and Java languages during source code analysis.…”
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