Search Results - python code

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  1. 1

    Accurate 3D fireball trajectory and orbit calculation using the 3D-firetoc automatic Python code by Peña-Asensio, Eloy, Trigo-Rodríguez, Josep Maria, Gritsevich, Maria, Rimola, Albert

    ISSN: 0035-8711, 1365-2966
    Published: Oxford University Press 01.07.2021
    “…), an automatic Python code for detection, trajectory reconstruction of meteors, and heliocentric orbit computation from video recordings…”
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    Journal Article
  2. 2

    PyScribe–Learning to describe python code by Guo, Juncai, Liu, Jin, Liu, Xiao, Wan, Yao, Zhao, Yanjie, Li, Li, Liu, Kui, Klein, Jacques, Bissyandé, Tegawendé F.

    ISSN: 0038-0644, 1097-024X
    Published: Bognor Regis Wiley Subscription Services, Inc 01.03.2024
    Published in Software, practice & experience (01.03.2024)
    “… Particularly, the triplet position is designed and integrated into the node‐level and edge‐level structural features of AST for producing Python code comments automatically…”
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    Journal Article
  3. 3

    iSTARMOD: A Python Code to Quantify Chromospheric Activity by Using the Spectral Subtraction Technique by Labarga, Fernando, Montes, David

    ISSN: 0004-6256, 1538-3881, 1538-3881
    Published: Madison The American Astronomical Society 02.01.2026
    Published in The Astronomical journal (02.01.2026)
    “… iSTARMOD is presented in this paper as a Python code developed to quantify chromospheric activity by using the spectral subtraction technique…”
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    Journal Article
  4. 4

    WimPyDD: An object–oriented Python code for the calculation of WIMP direct detection signals by Jeong, Injun, Kang, Sunghyun, Scopel, Stefano, Tomar, Gaurav

    ISSN: 0010-4655, 1879-2944
    Published: Elsevier B.V 01.07.2022
    Published in Computer physics communications (01.07.2022)
    “…We introduce WimPyDD, a modular, object–oriented and customizable Python code that calculates accurate predictions of nuclear scattering expected rates for Weakly Interacting Massive Particle (WIMP) direct…”
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    Journal Article
  5. 5

    Generating highly customizable python code for data processing with large language models: Generating Highly Customizable Python Code for Data Processing by Trummer, Immanuel

    ISSN: 1066-8888, 0949-877X
    Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.03.2025
    Published in The VLDB journal (01.03.2025)
    “…CARD (Coding Assistant for Relational Data analysis) generates Python code that processes relational queries on raw data…”
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    Journal Article
  6. 6

    The Pythonic Way: An Architect's Guide to Conventions and Best Practices for the Design, Development, Testing, and Management of Enterprise Python Code by Raj, Sonal

    ISBN: 9391030122, 9789391030124
    Published: Los Angeles BPB Publications 2021
    “…Learn to build and manage better software with clean, intuitive, scalable, maintainable, and high-performance Python code. Key Features…”
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  7. 7

    Pytest Quick Start Guide: Write Better Python Code with Simple and Maintainable Tests by Oliveira, Bruno

    ISBN: 1789347564, 9781789347562
    Published: Birmingham Packt Publishing, Limited 2018
    “…Python's built-in unittest module is showing it's age; hard to extend, debug and track what's going…”
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  8. 8

    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

    ISBN: 9781839218859, 1839218851, 1838984534, 9781838984533
    Published: Birmingham Packt Publishing, Limited 2019
    “…More than just a Python guide for beginners, The Python Workshop takes you through the full spectrum of basic to advanced topics, equipping you with the skills you need to get started with data science…”
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    eBook
  9. 9

    Python code for modeling ARIMA-LSTM architecture with random forest algorithm by Lama, Achal, Ray, Soumik, Biswas, Tufleuddin, Narsimhaiah, Lakshmi, Raghav, Yashpal Singh, Kapoor, Promil, Singh, K.N., Mishra, Pradeep, Gurung, Bishal

    ISSN: 2665-9638, 2665-9638
    Published: Elsevier B.V 01.05.2024
    Published in Software impacts (01.05.2024)
    “… Here, we present a Python script that builds a combined architecture of the ARIMA-LSTM model with random forest technique to generate a high-accuracy prediction…”
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    Journal Article
  10. 10
  11. 11

    ChromStruct 4: A Python Code to Estimate the Chromatin Structure from Hi-C Data by Caudai, Claudia, Salerno, Emanuele, Zoppe, Monica, Merelli, Ivan, Tonazzini, Anna

    ISSN: 1545-5963, 1557-9964, 1557-9964
    Published: United States IEEE 01.11.2019
    “…A method and a stand-alone Python code to estimate the 3D chromatin structure from chromosome conformation capture data are presented…”
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    Journal Article
  12. 12

    MHSXtraPy – a Python code for the extrapolation of magnetohydrostatic fields on the Sun using analytical solutions by Nadol, L, Neukirch, T

    ISSN: 2752-8200, 2752-8200
    Published: 01.01.2025
    Published in RAS techniques and instruments (01.01.2025)
    “…We present a Python code for calculating and displaying magnetic field extrapolations from given 2D boundary conditions, specifically from solar surface magnetograms…”
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    Journal Article
  13. 13

    GWFAST: A Fisher Information Matrix Python Code for Third-generation Gravitational-wave Detectors by Iacovelli, Francesco, Mancarella, Michele, Foffa, Stefano, Maggiore, Michele

    ISSN: 0067-0049, 1538-4365
    Published: Saskatoon The American Astronomical Society 01.11.2022
    “…We introduce GWFAST ( https://github.com/CosmoStatGW/gwfast ), a Fisher information matrix Python code that allows for easy and efficient estimation of signal…”
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  14. 14

    Clean Code in Python: Refactor Your Legacy Code Base by Anaya, Mariano

    ISBN: 9781788835831, 1788835832
    Published: Birmingham Packt Publishing, Limited 2018
    “…Python is currently used in many different areas. In all of these areas, experienced professionals can find examples of inefficiency, problems, and other perils, as a result of bad code…”
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  15. 15

    An extensive study of the effects of different deep learning models on code vulnerability detection in Python code by Wang, Rongcun, Xu, Senlei, Ji, Xingyu, Tian, Yuan, Gong, Lina, Wang, Ke

    ISSN: 0928-8910, 1573-7535
    Published: New York Springer US 01.05.2024
    Published in Automated software engineering (01.05.2024)
    “… However, few studies empirically studied the impacts of different deep learning models on code vulnerability detection in Python…”
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  16. 16

    cij: A Python code for quasiharmonic thermoelasticity by Luo, Chenxing, Deng, Xin, Wang, Wenzhong, Shukla, Gaurav, Wu, Zhongqing, Wentzcovitch, Renata M.

    ISSN: 0010-4655, 1879-2944
    Published: Netherlands Elsevier B.V 01.10.2021
    Published in Computer physics communications (01.10.2021)
    “… Here we introduce the cij package, a Python implementation of the SAM-Cij formalism. It enables a thermoelasticity calculation to be initiated from a single command…”
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  17. 17

    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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  18. 18

    p-winds: An open-source Python code to model planetary outflows and upper atmospheres by Dos Santos, Leonardo A., Vidotto, Aline A., Vissapragada, Shreyas, Alam, Munazza K., Allart, Romain, Bourrier, Vincent, Kirk, James, Seidel, Julia V., Ehrenreich, David

    ISSN: 0004-6361, 1432-0746
    Published: Heidelberg EDP Sciences 01.03.2022
    Published in Astronomy and astrophysics (Berlin) (01.03.2022)
    “… S) at 1083 nm has emerged as a reliable technique for observing and measuring escape. To aid in the prediction and interpretation of metastable He transmission spectroscopy observations, we developed the code p-winds…”
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  19. 19

    An Open‐Source Python Version of Power Spectral Density Periodicity Detection and Background Estimation Using the Adaptive Multitaper Method by Salinas, Hector A., Di Matteo, Simone, Viall, Nicholeen M., Kepko, Larry, Wilder, Victoria D.

    ISSN: 2169-9380, 2169-9402
    Published: Washington Blackwell Publishing Ltd 01.12.2025
    “…‐tested and widely used. Differences from the IDL code emerged due to how Python estimated the aMTM PSD and modeled the background…”
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  20. 20

    Introduction to computational causal inference using reproducible Stata, R, and Python code: A tutorial by Smith, Matthew J., Mansournia, Mohammad A., Maringe, Camille, Zivich, Paul N., Cole, Stephen R., Leyrat, Clémence, Belot, Aurélien, Rachet, Bernard, Luque‐Fernandez, Miguel A.

    ISSN: 0277-6715, 1097-0258, 1097-0258
    Published: England Wiley Subscription Services, Inc 30.01.2022
    Published in Statistics in medicine (30.01.2022)
    “…The main purpose of many medical studies is to estimate the effects of a treatment or exposure on an outcome. However, it is not always possible to randomize…”
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