Showing 1 - 20 results of 104 for search '(( python effective implementation ) OR ( python practical applications ))', query time: 0.46s Refine Results
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    Secure Python Code Manager: A Tool for Protected Python Code Distribution and Management by Pavel Izosimov (20096259)

    Published 2024
    “…All Rights Reserved.By integrating advanced security features and adhering to industry <b>code security best practices</b>, the Secure Python Code Manager Script helps you <b>protect Python code</b> effectively. …”
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    Multi-Version PYZ Builder Script: A Universal Python Module Creation Tool by Pavel Izosimov (20096259)

    Published 2024
    “…</li></ul><p dir="ltr"><b>Application Areas</b></p><p dir="ltr">The <b>Multi-Version PYZ Builder Script</b> can be effectively applied in various areas:</p><ul><li><b>Commercial Distribution</b>: Distribute protected Python code to clients or customers, implementing advanced <a href="https://xn--mxac.net/secure-python-code-manager.html" target="_blank"><b>source code protection</b></a> for sales or rentals.…”
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    Local Python Code Protector Script: A Tool for Source Code Protection and Secure Code Sharing by Pavel Izosimov (20096259)

    Published 2024
    “…</p><h2>Key Features</h2><ul><li><a href="https://xn--mxac.net/secure-python-code-manager.html" target="_blank"><b>Code Obfuscation in Python</b></a>: Implements multi-level protection with dynamic encryption and obfuscation techniques, making it an effective <a href="https://xn--mxac.net/secure-python-code-manager.html" target="_blank"><b>Python obfuscator</b></a>.…”
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    System Hardware ID Generator Script: A Cross-Platform Hardware Identification Tool by Pavel Izosimov (20096259)

    Published 2024
    “…</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.…”
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    Exploring the integration of metaverse technologies in engineering education through the SAMR model by Snezhana Dineva (22444471)

    Published 2025
    “…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. …”
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    Dialogue Propositional Content Replacement (DPCR) code by Jacopo Amidei (10511297)

    Published 2025
    “…<p dir="ltr">This resource consists of a Python notebook with code that was implemented for a research project that developed a novel method for testing the components of theories of (dialogue) coherence through utterance substitution. …”
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    Real-Time Optical Imaging Acquisition and Processing in Python: A Practical Guide Using CAS: Code Repository by Michael Hughes (8821646)

    Published 2025
    “…This note provides guidelines for achieving high performance in Python for optical imaging applications, and introduces an open source framework 'CAS' for rapid protoyping of imaging system software. …”
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    HaPy-Bug – Human Annotated Python Bug Resolution Dataset by Piotr Przymus (14564009)

    Published 2025
    “…Additionally, we explore its potential applications in bug tracking, the analysis of bug-fixing practices, and the development of repository analysis tools. …”
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    BSTPP: a python package for Bayesian spatiotemporal point processes by Isaac Manring (20705955)

    Published 2025
    “…<p>Spatiotemporal point process models have a rich history of effectively modeling event data in space and time. However, they are sometimes neglected due to the difficulty of implementing them. …”
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    Cost functions implemented in Neuroptimus. by Máté Mohácsi (20469514)

    Published 2024
    “…However, using most of these software tools and choosing the most appropriate algorithm for a given optimization task require substantial technical expertise, which prevents the majority of researchers from using these methods effectively. 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. …”
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