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Percolation theory using Python by Malthe-Sørenssen, Anders

“… Readers will learn how to generate, analyze, and comprehend data and models, with detailed theoretical discussions complemented by accessible computer codes…”
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Decoding the JAK-STAT Axis in Colorectal Cancer with AI-HOPE-JAK-STAT: A Conversational Artificial Intelligence Approach to Clinical–Genomic Integration by Yang, Ei-Wen, Waldrup, Brigette, Velazquez-Villarreal, Enrique

“…: AI-HOPE-JAK-STAT combines large language models (LLMs), a natural language-to-code engine, and harmonized public CRC datasets from cBioPortal…”
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LiPydomics: A Python Package for Comprehensive Prediction of Lipid Collision Cross Sections and Retention Times and Analysis of Ion Mobility-Mass Spectrometry-Based Lipidomics Data by Ross, Dylan H, Cho, Jang Ho, Zhang, Rutan, Hines, Kelly M, Xu, Libin

“… Existing solutions for these data analysis challenges (i.e., multivariate statistics and lipid identification…”
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VULCAN: An Open-source, Validated Chemical Kinetics Python Code for Exoplanetary Atmospheres by Tsai, Shang-Min, Lyons, James R., Grosheintz, Luc, Rimmer, Paul B., Kitzmann, Daniel, Heng, Kevin

“…We present an open-source and validated chemical kinetics code for studying hot exoplanetary atmospheres, which we name VULCAN…”
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PHOTONAI—A Python API for rapid machine learning model development by Leenings, Ramona, Winter, Nils Ralf, Plagwitz, Lucas, Holstein, Vincent, Ernsting, Jan, Sarink, Kelvin, Fisch, Lukas, Steenweg, Jakob, Kleine-Vennekate, Leon, Gebker, Julian, Emden, Daniel, Grotegerd, Dominik, Opel, Nils, Risse, Benjamin, Jiang, Xiaoyi, Dannlowski, Udo, Hahn, Tim

“…PHOTONAI is a high-level Python API designed to simplify and accelerate machine learning model development…”
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pyComBat, a Python tool for batch effects correction in high-throughput molecular data using empirical Bayes methods by Behdenna, Abdelkader, Colange, Maximilien, Haziza, Julien, Gema, Aryo, Appé, Guillaume, Azencott, Chloé-Agathe, Nordor, Akpéli

“… Results In this technical note, we present a new Python implementation of ComBat and ComBat-Seq…”
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stk: A python toolkit for supramolecular assembly by Turcani, Lukas, Berardo, Enrico, Jelfs, Kim E.

“… stk is a modular, extensible and open‐source Python library that provides a simple Python API and integration with third party computational codes…”
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SciPy 1.0: fundamental algorithms for scientific computing in Python by Virtanen, Pauli, Gommers, Ralf, Oliphant, Travis E., Haberland, Matt, Reddy, Tyler, Cournapeau, David, Burovski, Evgeni, Peterson, Pearu, Weckesser, Warren, Bright, Jonathan, van der Walt, Stéfan J., Brett, Matthew, Wilson, Joshua, Millman, K. Jarrod, Mayorov, Nikolay, Nelson, Andrew R. J., Jones, Eric, Kern, Robert, Larson, Eric, Carey, C J, Polat, İlhan, Feng, Yu, Moore, Eric W., VanderPlas, Jake, Laxalde, Denis, Perktold, Josef, Cimrman, Robert, Henriksen, Ian, Quintero, E. A., Harris, Charles R., Archibald, Anne M., Ribeiro, Antônio H., Pedregosa, Fabian, van Mulbregt, Paul

“… Since its initial release in 2001, SciPy has become a de facto standard for leveraging scientific algorithms in Python, with over 600 unique code contributors, thousands of dependent packages…”
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GPAW: An open Python package for electronic structure calculations by Mortensen, Jens Jørgen, Larsen, Ask Hjorth, Kuisma, Mikael, Ivanov, Aleksei V, Taghizadeh, Alireza, Peterson, Andrew, Haldar, Anubhab, Dohn, Asmus Ougaard, Schäfer, Christian, Jónsson, Elvar Örn, Hermes, Eric D, Nilsson, Fredrik Andreas, Kastlunger, Georg, Levi, Gianluca, Jónsson, Hannes, Häkkinen, Hannu, Fojt, Jakub, Kangsabanik, Jiban, Sødequist, Joachim, Lehtomäki, Jouko, Heske, Julian, Enkovaara, Jussi, Winther, Kirsten Trøstrup, Dulak, Marcin, Melander, Marko M, Ovesen, Martin, Louhivuori, Martti, Walter, Michael, Gjerding, Morten, Lopez-Acevedo, Olga, Erhart, Paul, Warmbier, Robert, Würdemann, Rolf, Kaappa, Sami, Latini, Simone, Boland, Tara Maria, Bligaard, Thomas, Skovhus, Thorbjørn, Susi, Toma, Maxson, Tristan, Rossi, Tuomas, Chen, Xi, Schmerwitz, Yorick Leonard A, Schiøtz, Jakob, Olsen, Thomas, Jacobsen, Karsten Wedel, Thygesen, Kristian Sommer

“…We review the GPAW open-source Python package for electronic structure calculations…”
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Python code smells detection using conventional machine learning models by Sandouka, Rana, Aljamaan, Hamoud

“… This article proposes a Python code smell dataset for Large Class and Long Method code smells…”
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Methods and Benchmark for Detecting Cryptographic API Misuses in Python by Frantz, Miles, Xiao, Ya, Pias, Tanmoy Sarkar, Meng, Na, Yao, Danfeng

“… The current static code analysis tools for Python are unable to scan the increasing complexity of the source code…”
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Functional Python Programming: Use a functional approach to write succinct, expressive, and efficient Python code by Lott, Steven F

“…Python isn’t all about object-oriented programming. Discover a valuable way of thinking about code design through a function-first approach…”
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SBML2HYB: a Python interface for SBML compatible hybrid modeling by Pinto, José, Costa, Rafael S, Alexandre, Leonardo, Ramos, João, Oliveira, Rui

“…Abstract Summary Here, we present sbml2hyb, an easy-to-use standalone Python tool that facilitates the conversion of existing mechanistic models of biological systems in Systems Biology Markup Language (SBML…”
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pyMBE: The Python-based molecule builder for ESPResSo by Beyer, David, Torres, Paola B, Pineda, Sebastian P, Narambuena, Claudio F, Grad, Jean-Noël, Košovan, Peter, Blanco, Pablo M

“…We present the Python-based Molecule Builder for ESPResSo (pyMBE), an open source software application to design custom coarse-grained (CG…”
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Bridging Python to Silicon: The SODA Toolchain by Agostini, Nicolas Bohm, Curzel, Serena, Zhang, Jeff Jun, Limaye, Ankur, Tan, Cheng, Amatya, Vinay, Minutoli, Marco, Castellana, Vito Giovanni, Manzano, Joseph, Brooks, David, Wei, Gu-Yeon, Tumeo, Antonino

“…Systems performing scientific computing, data analysis, and machine learning tasks have a growing demand for application-specific accelerators that can provide high computational performance…”
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PyCG: Practical Call Graph Generation in Python by Salis, Vitalis, Sotiropoulos, Thodoris, Louridas, Panos, Spinellis, Diomidis, Mitropoulos, Dimitris

“… We propose a pragmatic, static approach for call graph generation in Python. We compute all assignment relations between program identifiers of functions, variables, classes, and modules through an inter-procedural analysis…”
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Dedenser: A Python Package for Clustering and Downsampling Chemical Libraries by Beck, Armen G, Fine, Jonathan, Lam, Yu-Hong, Sherer, Edward C, Regalado, Erik L, Aggarwal, Pankaj

“…The screening of chemical libraries is an essential starting point in the drug discovery process. While some researchers desire a more thorough screening of…”
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ABrox—A user-friendly Python module for approximate Bayesian computation with a focus on model comparison by Mertens, Ulf Kai, Voss, Andreas, Radev, Stefan

“…We give an overview of the basic principles of approximate Bayesian computation (ABC), a class of stochastic methods that enable flexible and likelihood-free…”
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Domain Knowledge Matters: Improving Prompts with Fix Templates for Repairing Python Type Errors by Peng, Yun, Gao, Shuzheng, Gao, Cuiyun, Huo, Yintong, Lyu, Michael R.

“…As a dynamic programming language, Python has become increasingly popular in recent years…”
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Cardio PyMEA: A user-friendly, open-source Python application for cardiomyocyte microelectrode array analysis by Dunham, Christopher S., Mackenzie, Madelynn E., Nakano, Haruko, Kim, Alexis R., Nakano, Atsushi, Stieg, Adam Z., Gimzewski, James K.

“…Open source analytical software for the analysis of electrophysiological cardiomyocyte data offers a variety of new functionalities to complement closed-source, proprietary tools…”
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