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  1. 1941
    “…PURPOSE: The present study proposed a simple method to voxelize CAD mesh format files by using a Python‐based script and establishing geometric models in FLUKA. …”
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    Online Artículo Texto
    A simple method to import CAD mesh format models in FLUKA
  2. 1942
    “…The priority of the project is to provide an easy and intuitive way of extending and customizing software using the Python language.…”
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    Online Artículo Texto
    STSE: Spatio-Temporal Simulation Environment Dedicated to Biology
  3. 1943
    “…Users just need to replace the URL in the Python scripts to export other annotations from iCn3D. …”
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    iCn3D: From Web-Based 3D Viewer to Structural Analysis Tool in Batch Mode
  4. 1944
    “…The target audience are Python developers with basic knowledge of web2py who want to gain further knowledge of web2py…”
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    web2py Application Development Cookbook
  5. 1945
    por Lau, Ben
    Publicado 2013
    “…A concise guide written in an easy-to follow style using the Starter guide approach.This book is aimed at automation and testing professionals who want to use Sikuli to automate GUI. Some Python programming experience is assumed.…”
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    Instant Sikuli test automation
  6. 1946
    por Sankar, Krishna, Karau, Holden
    Publicado 2015
    “…This book assumes knowledge of either Java, Scala, or Python.…”
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    Fast data processing with Spark
  7. 1947
    “…The client is implemented as a python module, and includes all the functionality required by the LHCb physicists. …”
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    New developments on the LHCb bookkeeping
  8. 1948
    “…It is managed using an ATLAS-customized python based tool set. Conditions data are required for every reconstruction and simulation job, so access to them is crucial for all aspects of ATLAS data taking and analysis, as well as by preceding tasks to derive optimal corrections to reconstruction. …”
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    A Tool for Conditions Tag Management in ATLAS
  9. 1949
    por Iraoui, Imane
    Publicado 2021
    “…DB12 however has some issues: • It does not support Python 3, as it is entirely written in Python 2. • Does not include CI/CD. • Copy pasted, instead of imported, within DIRAC. • Does not run well in multi-core environments: There is a function included in DB12 to run it on multiple cores in parallel, but it takes a lot of time to run and the accuracy of the scores is not certain. …”
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    Analysis and improvement of the DIRAC CPU Performance Benchmarking tool
  10. 1950
    “…A modular research data management toolbox based on the programming language Python, the widely used computing platform Jupyter Notebook, the standardized data exchange format for analytical data (AnIML) and the generic repository Dataverse has been established and applied to analyze small-angle X-ray scattering (SAXS) data according to the FAIR data principles (findable, accessible, interoperable and reusable). …”
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    Online Artículo Texto
    FAIR and scalable management of small-angle X-ray scattering data
  11. 1951
    “…We here present DagSim, a Python-based framework for DAG-based data simulation without any constraints on variable types or functional relations. …”
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    DagSim: Combining DAG-based model structure with unconstrained data types and relations for flexible, transparent, and modularized data simulation
  12. 1952
    “…We have developed FRETraj, a Python module to predict FRET distributions based on accessible-contact volumes (ACV) and simulated photon statistics. …”
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    Online Artículo Texto
    FRETraj: integrating single-molecule spectroscopy with molecular dynamics
  13. 1953
    “…We have developed AIRRSHIP, a flexible and fast Python package that produces synthetic human B cell receptor sequences. …”
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    Online Artículo Texto
    AIRRSHIP: simulating human B cell receptor repertoire sequences
  14. 1954
    “…We have developed a versatile and flexible software package, PySoftK (Python Soft Matter at King’s College London) that provides flexible, automated computational workflows to create, model, and curate libraries of polymers with minimal user intervention. …”
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    Online Artículo Texto
    Modular Software for Generating and Modeling Diverse Polymer Databases
  15. 1955
    “…RESULTS: We propose LSMMD-MA, a large-scale Python implementation of the MMD-MA method for multimodal data integration. …”
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    LSMMD-MA: scaling multimodal data integration for single-cell genomics data analysis
  16. 1956
    “…Here we equip ethoscopes with a Python framework for data analysis, ethoscopy, designed to be a user-friendly yet powerful platform, meeting the requirements of researchers with limited coding expertise as well as experienced data scientists. …”
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    Online Artículo Texto
    Ethoscopy and ethoscope-lab: a framework for behavioural analysis to lower entrance barrier and aid reproducibility
  17. 1957
    “…Here, we present Pynapple, the PYthon Neural Analysis Package, a lightweight python package designed to process a broad range of time-resolved data in systems neuroscience. …”
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    Pynapple, a toolbox for data analysis in neuroscience
  18. 1958
    “…Tissue Forge includes an extensive Python API for model and simulation specification via Python scripts, an IPython console and a Jupyter Notebook, as well as C and C++ APIs for integrated applications with other software tools. …”
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    Tissue Forge: Interactive biological and biophysics simulation environment
  19. 1959
    “…Upon conducting the experiments, it was observed that Logistic Regression outperformed the other techniques, exhibiting the highest precision of 81 percent using Python and 80.43 percent using WEKA. These findings shed light on the efficacy of machine learning in predicting diabetes and highlight the potential of Logistic Regression as a valuable tool in this domain.…”
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    Revolutionizing Diabetes Diagnosis: Machine Learning Techniques Unleashed
  20. 1960
    “…Integration with tools from the scientific Python community allows the leveraging of numerous existing libraries for powerful connectome data mining, exploration, and comparison. …”
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    Online Artículo Texto
    The Connectome Viewer Toolkit: An Open Source Framework to Manage, Analyze, and Visualize Connectomes
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