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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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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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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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Statistics Using Python by Campesato, Oswald

“…This book is designed to offer a fast-paced yet thorough introduction to essential statistical concepts using Python code samples, and aims to assist data scientists in their daily endeavors…”
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From code to reliability: Python-powered Paraconsistent Logic for alarm detection in the power gris/ Do codigo a confiabilidade: Logica Paraconsistente impulsionada por Python para a deteccao de alarmes na rede de energia by de Oliveira, Joseffe Barroso, Gino, Joao Vitor Santa Rosa, de Lima, Carlos Jose, Filho, Joao Inacio da Silva

“… This application enables the comparison of triggered alarms with the resultant logical states obtained during the analysis…”
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Analysis methods and code for very high-precision mass measurements of unstable isotopes by Karthein, J., Atanasov, D., Blaum, K., Lunney, D., Manea, V., Mougeot, M.

“…We present a robust analysis code developed in the Python language and incorporating libraries of the ROOT data analysis framework for the state-of-the-art mass spectrometry method called phase…”
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A Study of Large Language Models in Detecting Python Code Violations by Mohammed Salih, Hekar A., Sarhan, Qusay I.

“… Common static code analysis tools for Python, such as Pylint and Flake8, are widely used to enforce code quality by detecting coding violations without executing the code…”
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Introduction to computational causal inference using reproducible Stata, R, and Python code: A tutorial by Smith, Matthew J., Mansournia, Mohammad A., Maringe, Camille, Zivich, Paul N., Cole, Stephen R., Leyrat, Clémence, Belot, Aurélien, Rachet, Bernard, Luque‐Fernandez, Miguel A.

“…The main purpose of many medical studies is to estimate the effects of a treatment or exposure on an outcome. However, it is not always possible to randomize…”
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libRoadRunner 2.0: a high performance SBML simulation and analysis library by Welsh, Ciaran, Xu, Jin, Smith, Lucian, König, Matthias, Choi, Kiri, Sauro, Herbert M

“…Abstract Motivation This article presents libRoadRunner 2.0, an extensible, high-performance, cross-platform, open-source software library for the simulation and analysis of models expressed using the systems biology markup language (SBML…”
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Identification of Novel Microcystins Using High-Resolution MS and MSn with Python Code by Baliu-Rodriguez, David, Peraino, Nicholas J, Premathilaka, Sanduni H, Birbeck, Johnna A, Baliu-Rodriguez, Tomás, Westrick, Judy A, Isailovic, Dragan

“…Cyanotoxins called microcystins (MCs) are highly toxic and can be present in drinking water sources. Determining the structure of MCs is paramount because of…”
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PyLAT: Python LAMMPS Analysis Tools by Humbert, Michael T, Zhang, Yong, Maginn, Edward J

“… Here we describe a suite of open-source Python-based postprocessing routines we have developed called PyLAT…”
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GSEApy: a comprehensive package for performing gene set enrichment analysis in Python by Fang, Zhuoqing, Liu, Xinyuan, Peltz, Gary

“…Abstract Motivation Gene set enrichment analysis (GSEA) is a commonly used algorithm for characterizing gene expression changes…”
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GPT-4.1 Sets the Standard in Automated Experiment Design Using Novel Python Libraries by Fachada, Nuno, Fernandes, Daniel, Fernandes, Carlos M., Ferreira-Saraiva, Bruno D., Matos-Carvalho, João P.

“… unfamiliar Python APIs for complex computational experiments remains poorly characterized. This study systematically benchmarks a selection of state-of-the-art LLMs in generating functional Python code for two increasingly challenging scenarios…”
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Pyteomics—a Python Framework for Exploratory Data Analysis and Rapid Software Prototyping in Proteomics by Goloborodko, Anton A., Levitsky, Lev I., Ivanov, Mark V., Gorshkov, Mikhail V.

“…Pyteomics is a cross-platform, open-source Python library providing a rich set of tools for MS-based proteomics…”
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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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PypKa: A Flexible Python Module for Poisson-Boltzmann-Based pKa Calculations by Reis, Pedro B P S, Vila-Viçosa, Diogo, Rocchia, Walter, Machuqueiro, Miguel

“…The protonation of titratable residues has a significant impact on the structure and function of biomolecules, influencing many physicochemical and ADME…”
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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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Coherent manipulation of the internal state of ultracold 87Rb133Cs molecules with multiple microwave fields by Blackmore, Jacob A, Gregory, Philip D, Bromley, Sarah L, Cornish, Simon L

“…We explore coherent multi-photon processes in 87Rb133Cs molecules using 3-level lambda and ladder configurations of rotational and hyperfine states, and discuss their relevance to future applications…”
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scFates: a scalable python package for advanced pseudotime and bifurcation analysis from single-cell data by Faure, Louis, Soldatov, Ruslan, Kharchenko, Peter V, Adameyko, Igor

“…Abstract Summary scFates provides an extensive toolset for the analysis of dynamic trajectories comprising tree learning, feature association testing, branch differential expression and with a…”
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The fast azimuthal integration Python library: pyFAI by Ashiotis, Giannis, Deschildre, Aurore, Nawaz, Zubair, Wright, Jonathan P., Karkoulis, Dimitrios, Picca, Frédéric Emmanuel, Kieffer, Jérôme

“… It is written in Python (with binary submodules for improved performance), a language widely accepted and used by the scientific community today, which enables users to easily incorporate the pyFAI library into their processing pipeline…”
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