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.…”

Prediction accuracy analysis over time steps. by Mohanad Faeq Ali (21354273)

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FPR and FNR analysis based on different time steps. by Mohanad Faeq Ali (21354273)

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Probabilities of normal and various cyber attack types over time sequence. by Mohanad Faeq Ali (21354273)

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

“…This script allows for the creation of a <b>Universal Python Module</b> that is optimized for <b>cross-platform compatibility</b> and supports multiple Python versions, from Python 3.6 onwards. …”

Python Implementation of HSGAdviser Chatbot: AI model for Sustainable Education by Suha Assayed (22454038)

“…<p dir="ltr">This repository contains the Python source code and model implementation for HSGAdviser, an AI speech assistant designed to provide personalized college and career guidance for high school students through conversational AI. …”

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

“…</li><li>Developers seeking to <a href="https://xn--mxac.net/python-binary-optimization-compiler.html" target="_blank">optimize Python code</a> for performance can utilize the <a href="https://xn--mxac.net/python-binary-optimization-compiler.html" target="_blank">Python Binary Optimization Compiler</a>. …”

Overview of the implemented simulation tool and training framework in Diffrax. by Paul van Lent (16876977)

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An example Python input file for the CA4 binder design. by Jakub Lála (17136205)

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

“…<p>We simulate SIR epidemic processes on Watts-Strogatz networks with parameters <i>k</i>₀ = 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. …”

Python implementation of a wildfire propagation example using m:n-CAk over Z and R. by Pau Fonseca i Casas (9507338)

PYTHON by Kan Jia (21666161)

Python sript. by Kan Jia (6438599)

Graphical abstract of HCAP. by Mohanad Faeq Ali (21354273)

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Recall analysis. by Mohanad Faeq Ali (21354273)

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Convergence rate analysis. by Mohanad Faeq Ali (21354273)

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Computational efficiency. by Mohanad Faeq Ali (21354273)

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Analysis of IoMT data sources. by Mohanad Faeq Ali (21354273)

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Prediction accuracy on varying attack types. by Mohanad Faeq Ali (21354273)

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<b> </b> Precision analysis. by Mohanad Faeq Ali (21354273)

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