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Machine Learning Guide for Oil and Gas Using Python - A Step-by-Step Breakdown with Data, Algorithms, Codes, and Applications

by Belyadi, Hoss, Haghighat, Alireza
Year of Publication 2021

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A comparative evaluation of the generalised predictive ability of eight machine learning algorithms across ten clinical metabolomics data sets for binary classification

by Mendez, Kevin M., Reinke, Stacey N., Broadhurst, David I.
Published in Metabolomics (01.12.2019)

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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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Machine Learning with Spark™ and Python® - Essential Techniques for Predictive Analytics (2nd Edition)

by Bowles, Michael
Year of Publication 2020

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PyNoetic: A modular python framework for no-code development of EEG brain-computer interfaces

by Singh, Gursimran, Chharia, Aviral, Upadhyay, Rahul, Kumar, Vinay, Longo, Luca
Published in PloS one (06.08.2025)

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Data on Vulnerability Detection in Android

by Garg, Shivi, Baliyan, Niyati
Published in Data in brief (01.02.2019)

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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
Published in Nature methods (01.03.2020)

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Design of Heuristic Algorithms for Hard Optimization: With Python Codes for the Travelling Salesman Problem

by Taillard, Eric D
Year of Publication 2023

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Bioinformatic pipelines in Python with Leaf

by Napolitano, Francesco, Mariani-Costantini, Renato, Tagliaferri, Roberto
Published in BMC bioinformatics (21.06.2013)

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Mahakala: A Python-based Modular Ray-tracing and Radiative Transfer Algorithm for Curved Spacetimes

by Sharma, Aniket, Medeiros, Lia, Wong, George N., Chan, Chi-kwan, Halevi, Goni, Mullen, Patrick D., Stone, James M.
Published in The Astrophysical journal (20.05.2025)

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Biotite: a unifying open source computational biology framework in Python

by Kunzmann, Patrick, Hamacher, Kay
Published in BMC bioinformatics (01.10.2018)

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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
Published in PloS one (21.07.2021)

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The Python Workshop: Learn to Code in Python and Kickstart Your Career in Software Development or Data Science

by Pons, Olivier, Bird, Andrew, Han, Lau Cher, Jiménez, Mario Corchero, Lee, Graham, Wade, Corey
Year of Publication 2019

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MEG and EEG data analysis with MNE-Python

by Gramfort, Alexandre
Published in Frontiers in neuroscience (26.12.2013)

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A List-Based Parallel Bacterial Foraging Algorithm for the Multiple Sequence Alignment Problem

by Rios-Willars, Ernesto, Delabra-Salinas, María Magdalena, Reyes-Acosta, Alfredo
Published in Biomimetics (Basel, Switzerland) (23.07.2025)

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ShoRAH: estimating the genetic diversity of a mixed sample from next-generation sequencing data

by Zagordi, Osvaldo, Bhattacharya, Arnab, Eriksson, Nicholas, Beerenwinkel, Niko
Published in BMC bioinformatics (26.04.2011)

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Data Structures and Program Design Using Python - A Self-Teaching Introduction

by Malhotra, D, Malhotra, N
Year of Publication 2021

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FalseColor-Python: A rapid intensity-leveling and digital-staining package for fluorescence-based slide-free digital pathology

by Serafin, Robert, Xie, Weisi, Glaser, Adam K., Liu, Jonathan T. C.
Published in PloS one (01.10.2020)

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Using python libraries and k-Nearest neighbors algorithms to delineate syn-sedimentary faults in sedimentary porous media

by Martín-Martín, Manuel, Bullejos, Manuel, Cabezas, David, Alcalá, Francisco Javier
Published in Marine and petroleum geology (01.07.2023)

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Artificial Intelligence with Python Cookbook - Proven Recipes for Applying AI Algorithms and Deep Learning Techniques Using TensorFlow 2.x and PyTorch 1.6

by Kumar, Ritesh, Auffarth, Ben
Year of Publication 2020

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