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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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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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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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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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Automated Estimation of Aquifer Parameters from Arbitrary‐Rate Pumping Tests in Python and MATLAB by Benson, David A.

“…Inspired by the analysis by Mishra et al. (2012) of variable pumping rate tests using piecewise…”
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PyTy: Repairing Static Type Errors in Python by Chow, Yiu Wai, Di Grazia, Luca, Pradel, Michael

“… As more and more code bases get type-annotated, static type checkers detect an increasingly large number of type errors…”
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NIFTy 3 – Numerical Information Field Theory: A Python Framework for Multicomponent Signal Inference on HPC Clusters by Steininger, Theo, Dixit, Jait, Frank, Philipp, Greiner, Maksim, Hutschenreuter, Sebastian, Knollmüller, Jakob, Leike, Reimar, Porqueres, Natalia, Pumpe, Daniel, Reinecke, Martin, Šraml, Matevž, Varady, Csongor, Enßlin, Torsten

“…NIFTy, “Numerical Information Field Theory,” is a software framework designed to ease the development and implementation of field inference algorithms. Field…”
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Integrated reliability analysis procedure for spatially variable soil slopes using recursive FORM algorithm enhanced by importance sampling: Abaqus via Python implementations by Ji, Jian, Liao, Wenwang, Hu, Yining, Lü, Qing

“… The improved Hasofer-Lind-Rackwitz-Fiessler (iHLRF) recursive algorithm is adopted to implement the FORM procedure when coupled with finite element codes for slope stability analysis, and the KL is used to reduce the dimension of random variables…”
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Constrained Optimization for Decision Making in Health Care Using Python: A Tutorial by Leung, K H Benjamin, Yousefi, Nasrin, Chan, Timothy C Y, Bayoumi, Ahmed M

“… Python.Two examples are presented to illustrate how constrained optimization is used in health applications, with accompanying Python code provided…”
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Using web2py Python framework for creating data-driven web applications in the academic library by Miles, Mathew

“… web2py follows a strict MVC framework where the controls and web templates are all written in pure Python…”
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Unleashing the Giants: Enabling Advanced Testing for Infrastructure as Code by Sokolowski, Daniel, Spielmann, David, Salvaneschi, Guido

“…Infrastructure as Code (IaC) programs are written in imperative programming languages like Python or TypeScript while declar-atively defining the target state of software deployments, which the IaC solution then sets up, e.g…”
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Is ChatGPT a Good Geospatial Data Analyst? Exploring the Integration of Natural Language into Structured Query Language within a Spatial Database by Jiang, Yongyao, Yang, Chaowei

“… Traditionally, humans interact with geospatial data through software (e.g., ArcGIS 10.3) and programming languages (e.g., Python…”
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High-Fidelity Modeling and Stability Analysis of Microgrids by Considering Time Delay by Kuyumcu, Ali, Karabacak, Murat, Boz, Ali Fuat

“…). However, the design, control, and stability analysis of inverter-interfaced MGs present significant challenges, as numerous system parameters influence the overall stability of these MGs…”
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CRISPR/Cas9 cleavage efficiency regression through boosting algorithms and Markov sequence profiling by Peng, Hui, Zheng, Yi, Blumenstein, Michael, Tao, Dacheng, Li, Jinyan

“…Abstract Motivation CRISPR/Cas9 system is a widely used genome editing tool. A prediction problem of great interests for this system is: how to select optimal…”
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Leveraging machine learning for accurate DNBR prediction using python by Mohamed Y.M. Mohsen, Meshari Al Meshari, Yasser Alzamil, Abdulrahman Alhammad, Khaled Alenazi, Atef El-Taher, Tarek F. Nagla, Mohamed A.E. Abdel-Rahman

“…This study investigates the viability of using Python scikit-learn packages, specifically regression techniques, to forecast the departure from nucleate boiling ratio (DNBR…”
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Analysis and Forecasting the Price of the S P 500 Index Using the Arima Model by Vadym Dun

“…The results of the research allowed to determine that the chosen S&P 500 index can serve as a reflection of the state and forecasts of economic development of the United States…”
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USING THE SYNERGY OF QFIELD FOR COLLECTING DATA ON-SITE AND QGIS FOR INTERACTIVE MAP CREATION BY ALKIS® DATA EXTRACTION AND IMPLEMENTATION IN POSTGRESQL FOR URBAN PLANNING PROCESSES by Ostadabbas, H., Weippert, H., Behr, F.-J.

“…The German law concerning Urban Development Promotion (Städtebauförderungsgesetz; StBauFG) is an important component of the Building Law (Baugesetzbuch). It…”
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PYInfer: Deep Learning Semantic Type Inference for Python Variables by Cui, Siwei, Zhao, Gang, Dai, Zeyu, Wang, Luochao, Huang, Ruihong, Huang, Jeff

“…Python type inference is challenging in practice. Due to its dynamic properties and extensive dependencies on third-party libraries without type annotations, the performance of traditional static analysis techniques is limited…”
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Prot-2S: a new python web tool for protein secondary structure studies by Munteanu, Cristian R, Magalhães, Alexandre L

“…/). The tool is built on the RCSB Protein Data Bank PDB and DSSP application/files and includes calculation/graphical display of amino acid propensities in 2S motifs based on any user amino acid classification/code…”
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pyComBat, a Python tool for batch effects correction in high-throughput molecular data using empirical Bayes methods by Behdenna, Abdelkader, Haziza, Julien, Azencott, Chloé-Agathe, Nordor, Akpéli

“… In this technical note, we present a new Python implementation of ComBat. While the mathematical framework is strictly the same, we show here that our implementation…”
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