Secure Python Code Manager: A Tool for Protected Python Code Distribution and Management by Pavel Izosimov (20096259)

“…</li><li><b>Commercial Distribution</b>: Safely share Python code with clients or customers, implementing advanced <b>Python code protection tools</b> for sales or rentals.…”

Implementation of the SAACS in python. by Pavel Škrabánek (6106427)

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

“…In this work, the PIs will develop a community of practice through a network of early-career academics to implement combustion concepts into undergraduate courses by sharing targeted teaching materials with the greater combustion community. …”

Multifunctional Lead-Free Halide Perovskite-Based Nanogenerator for Enhanced Energy Harvesting and Information-Encrypted Transmission by Monika Salesh (15306281)

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Multifunctional Lead-Free Halide Perovskite-Based Nanogenerator for Enhanced Energy Harvesting and Information-Encrypted Transmission by Monika Salesh (15306281)

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Multifunctional Lead-Free Halide Perovskite-Based Nanogenerator for Enhanced Energy Harvesting and Information-Encrypted Transmission by Monika Salesh (15306281)

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Multifunctional Lead-Free Halide Perovskite-Based Nanogenerator for Enhanced Energy Harvesting and Information-Encrypted Transmission by Monika Salesh (15306281)

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SCADET algorithm parameter configuration (Python implementation). by Xiaolong Zhang (470454)

Multi-Version PYZ Builder Script: A Universal Python Module Creation Tool by Pavel Izosimov (20096259)

“…</li><li><b>Maintain Secure Code Practices</b>: Combine this approach with other <a href="https://xn--mxac.net/secure-python-code-manager.html" target="_blank"><b>Python code security best practices</b></a> to maximize protection and ensure the integrity of your code.…”

Python Jupyter notebook implementing similar neural networks. by Pierre-Philippe Dechant (10751360)

Python implementation from Symplectic decomposition from submatrix determinants by Jason L. Pereira (11598632)

Python3 implementation of the correlation-based regression algorithm. by Sebastian J. Kopetzky (6059033)

Local Python Code Protector Script: A Tool for Source Code Protection and Secure Code Sharing by Pavel Izosimov (20096259)

“…</li></ul><h2>Security and Best Practices</h2><p dir="ltr">By implementing <a href="https://xn--mxac.net/python-app-bundle-shield.html" target="_blank"><b>Python code security best practices</b></a>, including advanced cryptographic methods like <a href="https://xn--mxac.net/python-binary-optimization-compiler.html" target="_blank"><b>asymmetric encryption</b></a> and <a href="https://xn--mxac.net/python-binary-optimization-compiler.html" target="_blank"><b>symmetric encryption</b></a>, the Local Python Code Protector Script strives to keep code better protected during transmission and execution. …”

Accelerating Pythonic Coupled-Cluster Implementations: A Comparison Between CPUs and GPUs by Maximilian H. Kriebel (17896949)

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Runtime comparison using our API vs published/standard Python implementations. by Lu Bin Liu (14279482)

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System Hardware ID Generator Script: A Cross-Platform Hardware Identification Tool by Pavel Izosimov (20096259)

“…</li></ul><p dir="ltr">By integrating the System Hardware ID Generator Script with these tools, developers can build robust applications that are both secure and optimized, adhering to the best practices in <a href="https://xn--mxac.net/" target="_blank">Python code security</a> and performance optimization.…”

Runtimes of analytical methods implemented in scedar. by Yuanchao Zhang (229875)

Comparison of performance between our next reaction implementation and the Python library from Ref. [3]. by Samuel Cure (22250922)

Invert4Geom; Progress towards an open-source geometric gravity inversion with stochastic uncertainty analysis by Matt Tankersley (11769215)

“…</p><p dir="ltr"><b>Plain-Language Summary:</b></p><p dir="ltr">Gravity inversions are useful geophysical tools for understanding subsurface geologic information. Inversions which yield information on physical parameters of the subsurface (e.g. the density distribution of rocks) are implement in various open-source software. …”

Python code that implements the Hoshen Kopleman algorithm used to identify the clusters shown in Figs 9 and 10. by Leonardo Costa Ribeiro (10439243)