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Python for MATLAB Development - Extend MATLAB with 300,000+ Modules from the Python Package Index

by Danial, Albert
Year of Publication 2022

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eBook

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pySAPC, a python package for sparse affinity propagation clustering: Application to odontogenesis whole genome time series gene-expression data

by Cao, Huojun, Amendt, Brad A.
Published in Biochimica et biophysica acta (01.11.2016)

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COBRApy: COnstraints-Based Reconstruction and Analysis for Python

by Ebrahim, Ali, Lerman, Joshua A, Palsson, Bernhard O, Hyduke, Daniel R
Published in BMC systems biology (08.08.2013)

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Optimization of water distribution network by genetic algorithm with EPANET-Python Toolkit: ptimization of water distribution network

by Pavansimha, M N, Yusuf Javeed
Published in Journal of earth system science (06.10.2025)

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Comprehensive Evaluation of Satellite-Based Rainfall Measurements Through Rain Gauge Validation Using Advanced Statistical Regression and Machine Learning Models by Using Python: Comprehensive Evaluation of Satellite-Based Rainfall Measurements Through Rain Gauge Validation Using Advanced Statistical Regression and Machine Learning Models by Using Python

by Sumith, K V
Published in Water resources management (01.07.2025)

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CFPy —A Python Package for Pre‐ and Postprocessing of the Conduit Flow Process of MODFLOW

by Reimann, Thomas, Rudolph, Max Gustav, Grabow, Leonard, Noffz, Torsten
Published in Ground water (01.11.2023)

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Journal Article

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Deep Learning with Python - Learn Best Practices of Deep Learning Models with PyTorch (2nd Edition)

by Ketkar, Nikhil, Moolayil, Jojo
Year of Publication 2021

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eBook Book

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Practical Explainable AI Using Python - Artificial Intelligence Model Explanations Using Python-Based Libraries, Extensions, and Frameworks

by Mishra, Pradeepta
Year of Publication 2022

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eBook Book

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Music Representation and Transformation in Software: Structure and Algorithms in Python

by Pazel, Donald P
Year of Publication 2022

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eBook

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Hands-on Machine Learning with Python - Implement Neural Network Solutions with Scikit-Learn and PyTorch

by Ashwin Pajankar, Aditya Joshi
Year of Publication 2022

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eBook

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Optimization of water distribution network by genetic algorithm with EPANET-Python Toolkit

by Pavansimha, M N, Yusuf Javeed
Published in Journal of Earth System Science (01.12.2025)

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Machine learning algorithms for predicting electrical load demand: an evaluation and comparison

by Goswami, Kakoli, Kandali, Aditya Bihar
Published in Sadhana (Bangalore) (25.01.2024)

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Algorithm in Python for Simulating Hydraulic Network for Educational Purposes

by Pizzo, Henrique, Santos, Victor, Evangelista, Marina
Published in Hidraulica (01.07.2022)

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FastTENET: an accelerated TENET algorithm based on manycore computing in Python

by Sung, Rakbin, Kim, Hyeonkyu, Kim, Junil, Lee, Daewon
Published in Bioinformatics (Oxford, England) (28.11.2024)

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Estimating the similarity of alternative Affymetrix probe sets using transcriptional networks

by Bellis, Michel
Published in BMC research notes (21.03.2013)

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Causal Inference and Discovery in Python: Unlock the secrets of modern causal machine learning with DoWhy, EconML, PyTorch and more

by Molak, Aleksander
Year of Publication 2023

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eBook

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PANINIpy: Package of Algorithms for Nonparametric Inference with Networks In Python

by Kirkley, Alec, He, Baiyue
Published in Journal of open source software (14.11.2024)

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Strategic Placement of In-line Turbines for Optimum Power Generation and Leakage Reduction in Water Supply Networks

by Jain, Priyanshu, Khare, Ruchi
Published in Water resources management (01.08.2024)

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Optimizing surgical efficiency: predicting case duration of common general surgery procedures using machine learning

by Kwong, Michelle, Noorchenarboo, Mohammad, Grolinger, Katarina, Hawel, Jeff, Schlachta, Christopher M., Elnahas, Ahmad
Published in Surgical endoscopy (01.08.2025)

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Combining Deep Neural Network with Genetic Algorithm for Axial Flow Fan Design and Development

by Liu, Yu-Ling, Nisa, Elsa Chaerun, Kuan, Yean-Der, Luo, Win-Jet, Feng, Chien-Chung
Published in Processes (01.01.2023)

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