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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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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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Spatial Analysis Using Big Data by Hajime Seya, Yoshiki Yamagata

“…Spatial Analysis Using Big Data: Methods and Urban Applications helps readers understand the most powerful, state-of-the-art spatial econometric methods, focusing particularly on urban research problems…”
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Solving Spatial Optimization Problems via Lagrangian Relaxation and Automatic Gradient Computation by Lei, Zhen, Lei, Ting L

“…Spatial optimization is an integral part of GIS and spatial analysis. It involves making various decisions in space, ranging from the location of public facilities to vehicle routing and political districting…”
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Microbench: Automated metadata management for systems biology benchmarking and reproducibility in Python by Alexander Lyulph Robert Lubbock, Lopez, Carlos F

“…) currently requires repetitious code and is difficult to store centrally for analysis. Even where virtual environments and containers are used, updates over time mean…”
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The art of R programming: tour of statistical software design by Matloff, Norman S

“…R is the world's most popular language for developing statistical software: Archaeologists use it to track the spread of ancient civilizations, drug companies…”
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Machine learning for physicists: a hands-on approach by Raeisi, Sadegh

“… All chapters start with a simple introduction to the basics and the foundations, followed by some examples, and then proceeds to provide concrete examples with associated codes from a GitHub repository…”
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Microbiome Toolbox: Methodological approaches to derive and visualize microbiome trajectories by Dogra, Shaillay Kumar, Banjac, Jelena, Sprenger, Norbert

“… To analyze and understand such changes we present a microbiome analysis toolbox. We implemented several methods for analysis and exploration to provide interactive visualizations for easy comprehension and reporting of longitudinal microbiome data…”
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Umibato: estimation of time-varying microbial interaction using continuous-time regression hidden Markov model by Hosoda, Shion, Fukunaga, Tsukasa, Hamada, Michiaki

“…Motivation: Accumulating evidence has highlighted the importance of microbial interaction networks. Methods have been developed for estimating microbial…”
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Modelo de series de tiempo para predecir la demanda de atención de pacientes con enfermedad renal crónica, 2022 by Espinoza Melgarejo, José Luis

“…The main objective of this study is to forecast the demand for patients with chronic kidney disease in state-run healthcare facilities in Peru in 2022 using time series models, and to conduct…”
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Scirpy: A Scanpy extension for analyzing single-cell T-cell receptor sequencing data by Sturm, Gregor, Szabo, Tamas G, Fotakis, Georgios, Haider, Marlene, Rieder, Dietmar, Trajanoski, Zlatko, Finotello, Francesca

“… Here we propose Scirpy, a scalable Python toolkit that provides simplified access to the analysis and visualization of immune repertoires from single cells and seamless integration with transcriptomic data. Scirpy source code and documentation are available at https://github.com/icbi-lab/scirpy. Competing Interest Statement The authors have declared no competing interest. Footnotes * https://github.com/icbi-lab/scirpy…”
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