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System Hardware ID Generator Script: A Cross-Platform Hardware Identification Tool
Published 2024“…</li></ul><h2>Integration with Other Tools</h2><p dir="ltr">The System Hardware ID Generator Script is part of the broader suite of tools offered by the <a href="https://xn--mxac.net/" target="_blank">Alpha Beta Network</a>, dedicated to enhancing security and performance in <a href="https://xn--mxac.net/" target="_blank">Python programming</a>.</p><ul><li>For advanced <a href="https://xn--mxac.net/local-python-code-protector.html" target="_blank">Python code protection tools</a>, consider using the <a href="https://xn--mxac.net/local-python-code-protector.html" target="_blank">Local Python Code Protector Script</a>. …”
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Multi-Version PYZ Builder Script: A Universal Python Module Creation Tool
Published 2024“…This tool represents a significant advancement in the realm of <a href="https://xn--mxac.net/secure-python-code-manager.html" target="_blank"><b>secure code sharing</b></a>, providing a robust solution for modern Python programming challenges.…”
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Comparison of performance between our next reaction implementation and the Python library from Ref. [3].
Published 2025“…<p>We simulate SIR epidemic processes on Watts-Strogatz networks with parameters <i>k</i><sub>0</sub> = 5, <i>p</i> = 0.1 <b>(a)</b> and Barabási-Albert networks with parameter <i>m</i> = 5 <b>(b)</b> using the Python wrapper of our C++ implementation and compare its performance with the Python library from Ref. …”
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Python implementation of a wildfire propagation example using m:n-CAk over Z and R.
Published 2025“…</p><p dir="ltr"><br></p><p dir="ltr">## Files in the Project</p><p dir="ltr"><br></p><p dir="ltr">### Python Scripts</p><p dir="ltr">- **Wildfire_on_m_n-CAk.py**: This file contains the main code for the fire cellular automaton. …”
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City-level GDP estimates for China under alternative pathways from 2020 to 2100-python code
Published 2025“…The dataset is complemented by processing code and raw input data in the "Python_Code" directory to ensure full reproducibility. …”
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Resolving Harvesting Errors in Institutional Repository Migration : Using Python Scripts with VS Code and LLM Integration.
Published 2025“…Therefore, we decided to create a dedicated Python program using Large Language Model (LLM)-assisted coding.…”
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Heatmap showing the simulated output of the XOR circuit by Tamsir <i>et al</i>. [11].
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Simulation results for the phage communication circuit from Pathania <i>et al</i>. [5].
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Simulation results of the quorum sensing circuit by Omar Din <i>et al</i>. [28].
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