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  1. 1

    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
  2. 2

    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

    ISSN: 0067-0049, 1538-4365
    Published: United States The American Astronomical Society 01.02.2017
    “…We present an open-source and validated chemical kinetics code for studying hot exoplanetary atmospheres, which we name VULCAN…”
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    Journal Article
  3. 3

    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

    ISSN: 1932-6203, 1932-6203
    Published: San Francisco Public Library of Science 21.07.2021
    Published in PloS one (21.07.2021)
    “…PHOTONAI is a high-level Python API designed to simplify and accelerate machine learning model development…”
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    Journal Article
  4. 4

    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

    ISSN: 1471-2105, 1471-2105
    Published: London BioMed Central 07.12.2023
    Published in BMC bioinformatics (07.12.2023)
    “… Results In this technical note, we present a new Python implementation of ComBat and ComBat-Seq…”
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    Journal Article
  5. 5

    stk: A python toolkit for supramolecular assembly by Turcani, Lukas, Berardo, Enrico, Jelfs, Kim E.

    ISSN: 0192-8651, 1096-987X, 1096-987X
    Published: Hoboken, USA John Wiley & Sons, Inc 05.09.2018
    Published in Journal of computational chemistry (05.09.2018)
    “… stk is a modular, extensible and open‐source Python library that provides a simple Python API and integration with third party computational codes…”
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    Journal Article
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  8. 8

    Python code smells detection using conventional machine learning models by Sandouka, Rana, Aljamaan, Hamoud

    ISSN: 2376-5992, 2376-5992
    Published: United States PeerJ. Ltd 29.05.2023
    Published in PeerJ. Computer science (29.05.2023)
    “… This article proposes a Python code smell dataset for Large Class and Long Method code smells…”
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    Journal Article
  9. 9

    Methods and Benchmark for Detecting Cryptographic API Misuses in Python by Frantz, Miles, Xiao, Ya, Pias, Tanmoy Sarkar, Meng, Na, Yao, Danfeng

    ISSN: 0098-5589, 1939-3520
    Published: New York IEEE 01.05.2024
    Published in IEEE transactions on software engineering (01.05.2024)
    “… The current static code analysis tools for Python are unable to scan the increasing complexity of the source code…”
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    Journal Article
  10. 10

    Functional Python Programming: Use a functional approach to write succinct, expressive, and efficient Python code by Lott, Steven F

    Published: Packt Publishing 2022
    “…Python isn’t all about object-oriented programming. Discover a valuable way of thinking about code design through a function-first approach…”
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    eBook
  11. 11

    SBML2HYB: a Python interface for SBML compatible hybrid modeling by Pinto, José, Costa, Rafael S, Alexandre, Leonardo, Ramos, João, Oliveira, Rui

    ISSN: 1367-4811, 1367-4803, 1367-4811
    Published: England Oxford University Press 01.01.2023
    Published in Bioinformatics (Oxford, England) (01.01.2023)
    “…Abstract Summary Here, we present sbml2hyb, an easy-to-use standalone Python tool that facilitates the conversion of existing mechanistic models of biological systems in Systems Biology Markup Language (SBML…”
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    Journal Article
  12. 12

    pyMBE: The Python-based molecule builder for ESPResSo by Beyer, David, Torres, Paola B, Pineda, Sebastian P, Narambuena, Claudio F, Grad, Jean-Noël, Košovan, Peter, Blanco, Pablo M

    ISSN: 1089-7690
    Published: United States 14.07.2024
    Published in The Journal of chemical physics (14.07.2024)
    “…We present the Python-based Molecule Builder for ESPResSo (pyMBE), an open source software application to design custom coarse-grained (CG…”
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    Journal Article
  13. 13

    Bridging Python to Silicon: The SODA Toolchain by Agostini, Nicolas Bohm, Curzel, Serena, Zhang, Jeff Jun, Limaye, Ankur, Tan, Cheng, Amatya, Vinay, Minutoli, Marco, Castellana, Vito Giovanni, Manzano, Joseph, Brooks, David, Wei, Gu-Yeon, Tumeo, Antonino

    ISSN: 0272-1732, 1937-4143
    Published: Los Alamitos IEEE 01.09.2022
    Published in IEEE MICRO (01.09.2022)
    “…Systems performing scientific computing, data analysis, and machine learning tasks have a growing demand for application-specific accelerators that can provide high computational performance…”
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    Journal Article
  14. 14

    LiPydomics: A Python Package for Comprehensive Prediction of Lipid Collision Cross Sections and Retention Times and Analysis of Ion Mobility-Mass Spectrometry-Based Lipidomics Data by Ross, Dylan H, Cho, Jang Ho, Zhang, Rutan, Hines, Kelly M, Xu, Libin

    ISSN: 1520-6882
    Published: United States 17.11.2020
    Published in Analytical chemistry (Washington) (17.11.2020)
    “… Existing solutions for these data analysis challenges (i.e., multivariate statistics and lipid identification…”
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    Journal Article
  15. 15

    PyCG: Practical Call Graph Generation in Python by Salis, Vitalis, Sotiropoulos, Thodoris, Louridas, Panos, Spinellis, Diomidis, Mitropoulos, Dimitris

    ISBN: 1665402962, 9781665402965
    ISSN: 1558-1225
    Published: IEEE 01.05.2021
    “… We propose a pragmatic, static approach for call graph generation in Python. We compute all assignment relations between program identifiers of functions, variables, classes, and modules through an inter-procedural analysis…”
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    Conference Proceeding
  16. 16

    Dedenser: A Python Package for Clustering and Downsampling Chemical Libraries by Beck, Armen G, Fine, Jonathan, Lam, Yu-Hong, Sherer, Edward C, Regalado, Erik L, Aggarwal, Pankaj

    ISSN: 1549-960X
    Published: United States 10.02.2025
    “…The screening of chemical libraries is an essential starting point in the drug discovery process. While some researchers desire a more thorough screening of…”
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    Journal Article
  17. 17

    ABrox—A user-friendly Python module for approximate Bayesian computation with a focus on model comparison by Mertens, Ulf Kai, Voss, Andreas, Radev, Stefan

    ISSN: 1932-6203, 1932-6203
    Published: United States Public Library of Science 08.03.2018
    Published in PloS one (08.03.2018)
    “…We give an overview of the basic principles of approximate Bayesian computation (ABC), a class of stochastic methods that enable flexible and likelihood-free…”
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    Journal Article
  18. 18

    Domain Knowledge Matters: Improving Prompts with Fix Templates for Repairing Python Type Errors by Peng, Yun, Gao, Shuzheng, Gao, Cuiyun, Huo, Yintong, Lyu, Michael R.

    ISSN: 1558-1225
    Published: ACM 14.04.2024
    “…As a dynamic programming language, Python has become increasingly popular in recent years…”
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    Conference Proceeding
  19. 19

    Cardio PyMEA: A user-friendly, open-source Python application for cardiomyocyte microelectrode array analysis by Dunham, Christopher S., Mackenzie, Madelynn E., Nakano, Haruko, Kim, Alexis R., Nakano, Atsushi, Stieg, Adam Z., Gimzewski, James K.

    ISSN: 1932-6203, 1932-6203
    Published: United States Public Library of Science 26.05.2022
    Published in PloS one (26.05.2022)
    “…Open source analytical software for the analysis of electrophysiological cardiomyocyte data offers a variety of new functionalities to complement closed-source, proprietary tools…”
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    Journal Article
  20. 20

    COBRApy: COnstraints-Based Reconstruction and Analysis for Python by Ebrahim, Ali, Lerman, Joshua A, Palsson, Bernhard O, Hyduke, Daniel R

    ISSN: 1752-0509, 1752-0509
    Published: London BioMed Central 08.08.2013
    Published in BMC systems biology (08.08.2013)
    “…Background COnstraint-Based Reconstruction and Analysis (COBRA) methods are widely used for genome-scale modeling of metabolic networks in both prokaryotes and eukaryotes…”
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    Journal Article