Simplifying compiled Python packaging in the sciences by Henry Schreiner (17090404)

Steps followed during Data Mining protocol of the Chembl Database using Python tool. by Kassim Folorunsho Adebambo (22806479)

Code program. by Honglei Pang (22693724)

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

RMSF results of the ligands within the receptor during the simulation. by Kassim Folorunsho Adebambo (22806479)

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

“…</p><h2>Key Features</h2><ul><li><b>Secure Code Sharing</b>: Utilize advanced <b>encryption</b> and <b>obfuscation</b> methods to <b>protect Python code</b> during transfer, enabling <b>secure code sharing</b> and <b>Python secure code transfer</b>.…”

RMSD results of the ligands during the molecular dynamics simulation study. by Kassim Folorunsho Adebambo (22806479)

Ligand Interactions diagram of the four best molecules obtained during the molecular docking, the interactions details are shown in table 2. by Kassim Folorunsho Adebambo (22806479)

Protein Ligand Interactions of the four best-ranked molecules obtained during the molecular docking investigation, the Ligand Interaction diagrams are shown in Fig 15). by Kassim Folorunsho Adebambo (22806479)

Output datasets from ML–assisted bibliometric workflow in African phytochemical metabolomics research by Temitope Omogbene (18615415)

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

“…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.…”

<b>An in-season ecological program performed by soccer players changes pelvic kinematics during static, linear sprinting and sport-specific tasks: implication for hamstring injury<... by Dario De Caro (19237879)

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

“…</li><li><b>Cross-Platform Compatibility</b>: Works on Windows, macOS, Linux/Unix, and other operating systems where Python 3.6+ is installed, supporting <a href="https://xn--mxac.net/" target="_blank"><b>Python programming</b></a> in diverse environments.…”

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

“…</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>. …”

<b>FluxZayn: </b>An Extension for Stable Diffusion WebUI Forge 300 word overview by Umran Ali (3853630)

“…<p dir="ltr"><b>FluxZayn: </b>An Extension for Stable Diffusion WebUI Forge 300 word overview<br></p><p dir="ltr">This practice-led, auto-ethnographic case study documents the creation of FluxZayn, a Python-based extension for the Stable Diffusion WebUI Forge platform that enables one-click transparent PNG generation. …”

HCC Evaluation Dataset and Results by Jens-Rene Giesen (18461928)

Skyeye: Detecting Imminent Attacks via Analyzing Adversarial Smart Contracts by Hao Wu (18777114)

Creation of a surgical simulator using 3D printer. by Takashi Kimura (178058)

Not All local LLMs Are Equal: A Benchmark of Energy and Performance by Simão Cunha (19712455)

“…However, installing these specific versions is not mandatory:<br><br>```bash<br>bash scripts/install_prerequisites.sh<br>```<br><br>#### Dependencies<br><br>1. Install all Python libraries listed in `requirements.txt` using a virtual environment (e.g., named `env`):<br><br>```bash<br># Create a virtual environment named 'env'<br>python3 -m venv env<br><br># Activate the virtual environment<br>source env/bin/activate<br><br># Install the required Python libraries<br>pip3 install -r requirements.txt<br>```<br><br>For `llama-cpp-python` installation with CPU support (used in this paper), execute:<br><br>```bash<br>CMAKE_ARGS="-DLLAMA_BLAS=ON -DLLAMA_BLAS_VENDOR=OpenBLAS" pip3 install llama-cpp-python<br>```<br><br>For other hardware acceleration backends, refer to the [llama-cpp-python documentation](<u>https://github.com/abetlen/llama-cpp-python?…”

The artifacts and data for the paper "DD4AV: Detecting Atomicity Violations in Interrupt-Driven Programs with Guided Concolic Execution and Filtering" (OOPSLA 2025) by zixuan yuan (17602152)

“…<p dir="ltr">DD4AV is a dynamically controlled scheduling testing tool that explores possible interleavings of interrupt-driven programs to detect atomicity violations. This repository provides the tool and evaluation subjects for the paper "DD4AV: Detecting Atomicity Violations in Interrupt-Driven Programs with Guided Concolic Execution and Filtering<br>."…”