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.…”

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

Comparison of BlueRecording with existing tools by Joseph James Tharayil (21416715)

“…<div><p>As the size and complexity of network simulations accessible to computational neuroscience grows, new avenues open for research into extracellularly recorded electric signals. …”

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

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. …”

Exploring the integration of metaverse technologies in engineering education through the SAMR model by Snezhana Dineva (22444471)

“…The final deliverable is a plan for phased integration of metaverse learning into a Python programming course following this model, building on existing best practices.…”

Left schematic of the XOR gate implementation [11]. by Fabricio Cravo (21387854)

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

“…By implementing advanced security measures such as <a href="https://xn--mxac.net/secure-python-code-manager.html" target="_blank"><b>end-to-end encryption</b></a>, <a href="https://xn--mxac.net/secure-python-code-manager.html" target="_blank"><b>asymmetric encryption</b></a>, and <a href="https://xn--mxac.net/secure-python-code-manager.html" target="_blank"><b>symmetric encryption</b></a>, the platform strives to keep code better protected during transmission and execution.Explore other tools offered by Alpha Beta Network:</p><ul><li><a href="https://xn--mxac.net/secure-python-code-manager.html" target="_blank"><b>Secure Python Code Manager</b></a>: A command-line tool for secure Python code sharing and protection using the Alpha Beta Network cloud platform.…”

Python file of the computational framework. by Benoit Haut (9753029)

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

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

“…System Hardware ID Generator Script: Unique Device Identification for Enhanced Security and Licensing<p dir="ltr">The <b>System Hardware ID Generator Script</b> is a powerful Python tool developed to generate a unique Hardware ID (HWID) for the device it runs on. …”

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

“…<p dir="ltr">Local Python Code Protector Script: Advanced Tool for Python Code Protection and Secure Sharing</p><h2>Introduction</h2><p dir="ltr">The <b>Local Python Code Protector Script</b> is a powerful command-line tool designed to provide <a href="https://xn--mxac.net/local-python-code-protector.html" target="_blank"><b>source code protection</b></a> and <a href="https://xn--mxac.net/local-python-code-protector.html" target="_blank"><b>secure code sharing</b></a> for Python scripts. …”

EFGs: A Complete and Accurate Implementation of Ertl’s Functional Group Detection Algorithm in RDKit by Gonzalo Colmenarejo (650249)

Subjects:

Simple implementation examples of agent AI on free energy calculation and phase-field simulation by Toshiyuki Koyama (22828581)

“…</p> <p>Using Gibbs energy calculations and diffusion simulations as examples, we demonstrated the implementation method and usefulness of simple agent AI, where sample python codes are distributed as supplemental materials.…”

Memory monitoring recognition test workflow. by Pedro C. Martínez-Suárez (21192459)

“…The computerization of technical resources that allow the monitoring of reality offers a new tool to evaluate the attribution process, in an effective and agile way and with easy understanding of cognitive deficits in a friendly environment.…”

Voice recognition workflow. by Pedro C. Martínez-Suárez (21192459)

“…The computerization of technical resources that allow the monitoring of reality offers a new tool to evaluate the attribution process, in an effective and agile way and with easy understanding of cognitive deficits in a friendly environment.…”

Memory monitoring recognition test main screen. by Pedro C. Martínez-Suárez (21192459)

“…The computerization of technical resources that allow the monitoring of reality offers a new tool to evaluate the attribution process, in an effective and agile way and with easy understanding of cognitive deficits in a friendly environment.…”

Task descriptions. by Pedro C. Martínez-Suárez (21192459)

“…The computerization of technical resources that allow the monitoring of reality offers a new tool to evaluate the attribution process, in an effective and agile way and with easy understanding of cognitive deficits in a friendly environment.…”

MYTHOS: A Python Interface for Surface Crystal Structure Prediction of Organic Semiconductors by Emilio Lorini (21689822)

“…Based on molecular mechanics and molecular dynamics simulations, and implemented in a user-friendly Python program, this method enables a sequential layer-by-layer analysis of crystalline formation, thus allowing to identify surface-induced polymorphs (SIPs) and to study the transition between surface and bulk structures. …”

Cost functions implemented in Neuroptimus. by Máté Mohácsi (20469514)

“…To address these issues, we developed a generic platform (called Neuroptimus) that allows users to set up neural parameter optimization tasks via a graphical interface, and to solve these tasks using a wide selection of state-of-the-art parameter search methods implemented by five different Python packages. Neuroptimus also offers several features to support more advanced usage, including the ability to run most algorithms in parallel, which allows it to take advantage of high-performance computing architectures. …”