Python3 implementation of the correlation-based regression algorithm. by Sebastian J. Kopetzky (6059033)

Implementations benchmark. by Serena Aneli (17002149)

Experimental results for feature selection performance (F1-scores and numbers of non-zero variables in parentheses) with the semi-simulated data based on four TCGA cancer datasets. by Jongkwon Jo (14204404)

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Experimental results. by Jongkwon Jo (14204404)

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Experimental results for feature selection performance (F1-scores) with the simulation data. by Jongkwon Jo (14204404)

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EthoPy: Reproducible Behavioral Neuroscience Made Simple by Alexandros Evangelou (22235917)

Python Code for SRD GUI by Doron Nakar (21664370)

Hardware parameters of optimal implementations. by Xuzhen He (14676114)

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Locality of reference in optimal implementations. by Xuzhen He (14676114)

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Real-Time Optical Imaging Acquisition and Processing in Python: A Practical Guide Using CAS: Code Repository by Michael Hughes (8821646)

“…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. …”

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

“…</li><li><b>Code Security Best Practices</b>: The tool enforces <b>Python code security best practices</b>, helping you adhere to industry standards for code protection.…”

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.…”

Python code SRD GUI (.py format) by Doron Nakar (21664370)

Implementation of the 1D heat model with array programming. by Xuzhen He (14676114)

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Successful image data extraction in a python environment. by Alireza Naghizadeh (11016333)

Recombination and mutation estimation times using the fastest (dynamic-numba) likelihood implementation depending on the number of markers. by Serena Aneli (17002149)

HaPy-Bug – Human Annotated Python Bug Resolution Dataset by Piotr Przymus (14564009)

“…Additionally, we explore its potential applications in bug tracking, the analysis of bug-fixing practices, and the development of repository analysis tools. …”

SQL to Python data transfer overhead analysis. by João António (6496931)

Hard Potato: A Python Library to Control Commercial Potentiostats and to Automate Electrochemical Experiments by Oliver Rodríguez (14038920)

“…Our library has potential applications that expand beyond the automation of simple repetitive tasks; for example, it can interface with peripheral hardware and well-established third-party Python libraries as part of a more complex and intelligent setup that relies on laboratory automation, advanced optimization, and machine learning.…”

Hard Potato: A Python Library to Control Commercial Potentiostats and to Automate Electrochemical Experiments by Oliver Rodríguez (14038920)

“…Our library has potential applications that expand beyond the automation of simple repetitive tasks; for example, it can interface with peripheral hardware and well-established third-party Python libraries as part of a more complex and intelligent setup that relies on laboratory automation, advanced optimization, and machine learning.…”