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.…”

Poster: PyGMT: Accessing the Generic Mapping Tools from Python by Leonardo Uieda (97471)

“…Since version 5, GMT has provided a C language Application Programming Interface (API) that allows other programs to access its core functionality. We are using this bridge to develop PyGMT (<a href="http://www.pygmt.org/" rel="nofollow">www.pygmt.org</a>; formerly GMT/Python), an open-source library that allows users of the Python programming language to leverage the almost thirty years of continuous GMT development. …”

Python implementation of the Trajectory Adaptive Multilevel Sampling algorithm for rare events and improvements by Pascal Wang (10130612)

“…<div>This directory contains Python 3 scripts implementing the Trajectory Adaptive Multilevel Sampling algorithm (TAMS), a variant of Adaptive Multilevel Splitting (AMS), for the study of rare events. …”

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

“…</p><p dir="ltr"><b>Secure Code Sharing</b></p><p dir="ltr">The tool facilitates <a href="https://xn--mxac.net/secure-python-code-manager.html" target="_blank"><b>secure code sharing</b></a> without exposing the original source code, aligning with the best practices of <a href="https://xn--mxac.net/secure-python-code-manager.html" target="_blank"><b>Python code security</b></a>. …”

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

“…This tool is ideal for developers who need to <a href="https://xn--mxac.net/local-python-code-protector.html" target="_blank"><b>protect Python code</b></a> when sharing it with clients, colleagues, or deploying it on servers, ensuring <a href="https://xn--mxac.net/python-app-bundle-shield.html" target="_blank"><b>Python code security best practices</b></a> are upheld.…”

Core concepts implemented in the MetDataModel package. by Joshua M. Mitchell (14703178)

Python script implementation of butanol and butanol producer models. by Laura de Arroyo Garcia (9226096)

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.…”

Tools used in implementing the RNN models. by Fahmi H. Quradaa (17896527)

Subjects:

Core data preparation features. by Bjørn André Bredesen-Aa (13767126)

Runtimes of analytical methods implemented in scedar with different number of CPU cores for parallel computation. by Yuanchao Zhang (229875)

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

Python script of the PREDICATE tool written in a Jupyter Notebook format. by Nantia Leonidou (14833068)

Analysis of the selected studies in terms of tools used for implementing RNN models. by Fahmi H. Quradaa (17896527)

Subjects:

Implementations benchmark. by Serena Aneli (17002149)

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

Re-Implementation of Refactory Tool by Aqsa Shabbir (18604261)

“…The file `requirements.txt` lists the python packages, along with their specific version number, required by the tool.…”

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. …”

Revisiting the “satisfaction of spatial restraints” approach of MODELLER for protein homology modeling by Giacomo Janson (8138517)

Subjects:

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

“…It demonstrates the successful implementation of the model in practice and provides examples of effective practices in the context of the CAVE (Cave Automatic Virtual Environment) metaverse. …”