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  1. 1

    cwepr – A Python package for analysing cw-EPR data focussing on reproducibility and simple usage by Schröder, Mirjam, Biskup, Till

    ISSN: 1090-7807, 1096-0856, 1096-0856
    Published: United States Elsevier Inc 01.02.2022
    Published in Journal of magnetic resonance (1997) (01.02.2022)
    “…[Display omitted] •Open-source software package for processing and analysis of cw-EPR data…”
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    Journal Article
  2. 2

    Percolation theory using Python by Malthe-Sørenssen, Anders

    ISBN: 3031598997, 9783031598999, 3031599004, 9783031599002
    Published: Cham Springer 2024
    “… 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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    eBook Book
  3. 3

    Statistics Using Python by Campesato, Oswald

    ISBN: 9781683928805, 1683928806
    Published: Berlin Mercury Learning and Information 2024
    “…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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    eBook
  4. 4

    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

    ISSN: 2178-9010, 2178-9010
    Published: Sindicato das Secretarias e Secretarios do Estado de Sao Paulo 01.10.2023
    Published in GeSec : Revista de Gestão e Secretariado (01.10.2023)
    “… This application enables the comparison of triggered alarms with the resultant logical states obtained during the analysis…”
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    Journal Article
  5. 5

    A Python Multiscale Thermochemistry Toolbox (pMuTT) for thermochemical and kinetic parameter estimation by Lym, Jonathan, Wittreich, Gerhard R., Vlachos, Dionisios G.

    ISSN: 0010-4655, 1879-2944
    Published: United States Elsevier 17.08.2019
    Published in Computer physics communications (17.08.2019)
    “… Its open-source implementation in Python leverages existing scientific codes, encourages users to write scripts for their needs, and allows the code to be expanded easily…”
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    Journal Article
  6. 6

    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

    ISSN: 1738-5733, 2234-358X
    Published: 2025
    “…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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    Journal Article
  7. 7

    Computational Tools for the Multiscale Analysis of Hi-C Data in Bacterial Chromosomes by Varoquaux, Nelle, Lioy, Virginia S, Boccard, Frédéric, Junier, Ivan

    ISSN: 1940-6029, 1940-6029
    Published: United States 2022
    “… Our objective is twofold. On the one hand, we aim at providing a full, understandable Python/Jupyter-based code which can be used by both computer scientists and biologists with no advanced computational background…”
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    Journal Article
  8. 8

    Sensitivity and uncertainty analysis in pebble-bed reactors: A study using the High-Temperature Code Package (HCP) by Yaseen, Mahmoud, Sadek, Amr, Osman, Wafaa, Altahhan, Muhammad, Wu, Xu, Avramova, Maria, Ivanov, Kostadin

    ISSN: 0306-4549
    Published: Elsevier Ltd 01.09.2025
    Published in Annals of nuclear energy (01.09.2025)
    “…) and Sensitivity Analysis (SA). This research aims to implement a statistical framework within HCP by leveraging the DAKOTA toolkit and Python libraries, thereby enabling UQ/SA workflows to evaluate how uncertainties influence…”
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    Journal Article
  9. 9

    A demonstration of modularity, reuse, reproducibility, portability and scalability for modeling and simulation of cardiac electrophysiology using Kepler Workflows by Yang, Pei-Chi, Purawat, Shweta, Ieong, Pek U., Jeng, Mao-Tsuen, DeMarco, Kevin R., Vorobyov, Igor, McCulloch, Andrew D., Altintas, Ilkay, Amaro, Rommie E., Clancy, Colleen E.

    ISSN: 1553-7358, 1553-734X, 1553-7358
    Published: United States Public Library of Science 01.03.2019
    Published in PLoS computational biology (01.03.2019)
    “… It invariably involves specific and detailed sequences of data analysis and simulation, often with multiple tools and datasets, and the community recognizes improved modularity, reuse…”
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    Journal Article
  10. 10

    Using DeepLabCut for 3D markerless pose estimation across species and behaviors by Nath, Tanmay, Mathis, Alexander, Chen, An Chi, Patel, Amir, Bethge, Matthias, Mathis, Mackenzie Weygandt

    ISSN: 1754-2189, 1750-2799, 1750-2799
    Published: England Nature Publishing Group 01.07.2019
    Published in Nature protocols (01.07.2019)
    “… We recently introduced an open-source toolbox called DeepLabCut that builds on a state-of-the-art human pose-estimation algorithm to allow a user to train a deep neural network with limited training…”
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    Journal Article
  11. 11

    Is Multitask Deep Learning Practical for Pharma? by Ramsundar, Bharath, Liu, Bowen, Wu, Zhenqin, Verras, Andreas, Tudor, Matthew, Sheridan, Robert P, Pande, Vijay

    ISSN: 1549-960X, 1549-960X
    Published: United States 28.08.2017
    “… Our implementation enables simple python scripts to construct, fit, and evaluate sophisticated deep models…”
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    Journal Article
  12. 12

    Error correction schemes for fully correlated quantum channels protecting both quantum and classical information by Li, Chi-Kwong, Lyles, Seth, Poon, Yiu-Tung

    ISSN: 1570-0755, 1573-1332
    Published: New York Springer US 01.05.2020
    Published in Quantum information processing (01.05.2020)
    “… + 1 , we describe a quantum error correction scheme using one arbitrary qubit σ to protect the data state ρ…”
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    Journal Article
  13. 13

    SnoVault and encodeD: A novel object-based storage system and applications to ENCODE metadata by Hitz, Benjamin C., Rowe, Laurence D., Podduturi, Nikhil R., Glick, David I., Baymuradov, Ulugbek K., Malladi, Venkat S., Chan, Esther T., Davidson, Jean M., Gabdank, Idan, Narayana, Aditi K., Onate, Kathrina C., Hilton, Jason, Ho, Marcus C., Lee, Brian T., Miyasato, Stuart R., Dreszer, Timothy R., Sloan, Cricket A., Strattan, J. Seth, Tanaka, Forrest Y., Hong, Eurie L., Cherry, J. Michael

    ISSN: 1932-6203, 1932-6203
    Published: United States Public Library of Science 12.04.2017
    Published in PloS one (12.04.2017)
    “… and transcriptional landscape of the H. sapiens and M. musculus genomes. All ENCODE experimental data, metadata, and associated computational analyses are submitted to the ENCODE Data Coordination Center (DCC…”
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    Journal Article
  14. 14

    Disentangling signal and noise in neural responses through generative modeling by Kay, Kendrick, Prince, Jacob S., Gebhart, Thomas, Tuckute, Greta, Zhou, Jingyang, Naselaris, Thomas, Schütt, Heiko H.

    ISSN: 1553-7358, 1553-734X, 1553-7358
    Published: United States Public Library of Science 21.07.2025
    Published in PLoS computational biology (21.07.2025)
    “…Measurements of neural responses to identically repeated experimental events often exhibit large amounts of variability. This noise is distinct from signal ,…”
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    Journal Article
  15. 15

    ROOT — A C++ framework for petabyte data storage, statistical analysis and visualization by Antcheva, I., Ballintijn, M., Bellenot, B., Biskup, M., Brun, R., Buncic, N., Canal, Ph, Casadei, D., Couet, O., Fine, V., Franco, L., Ganis, G., Gheata, A., Maline, D. Gonzalez, Goto, M., Iwaszkiewicz, J., Kreshuk, A., Segura, D. Marcos, Maunder, R., Moneta, L., Naumann, A., Offermann, E., Onuchin, V., Panacek, S., Rademakers, F., Russo, P., Tadel, M.

    ISSN: 0010-4655, 1879-2944, 1386-9485
    Published: Elsevier B.V 2011
    Published in Computer physics communications (2011)
    “…A new stable version (“production version”) v5.28.00 of ROOT [1] has been published [2]. It features several major improvements in many areas, most noteworthy…”
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    Journal Article
  16. 16

    Study on Exploratory Data Analysis Applied to Education by Otero-Escobar, Alma Delia, Velasco-Ramirez, Maria Luisa

    Published: IEEE 23.10.2023
    “… Exploratory data analysis is a key stage of data mining, where statistics and graphical tools are used to understand the data, identify errors, detect outliers, and find relationships between variables…”
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    Conference Proceeding
  17. 17

    Evaluating sentence representations for biomedical text: Methods and experimental results by Tawfik, Noha S., Spruit, Marco R.

    ISSN: 1532-0464, 1532-0480, 1532-0480
    Published: United States Elsevier Inc 01.04.2020
    Published in Journal of biomedical informatics (01.04.2020)
    “…[Display omitted] •MedSentEval is a python-based toolkit for evaluating representations in the biomedical domain…”
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    Journal Article
  18. 18
  19. 19

    Spatial Analysis Using Big Data by Hajime Seya, Yoshiki Yamagata

    ISBN: 0128131322, 9780128131329
    Published: Academic Press 03.11.2019
    “…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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  20. 20

    Machine learning : a Bayesian and optimization perspective by Theodoridis, Sergios

    ISBN: 9780128188033, 0128188030
    Published: London Academic Press 2020
    “…Machine Learning: A Bayesian and Optimization Perspective, Second Edition, gives a unifying perspective on machine learning by covering both probabilistic and…”
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