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  1. 1481
    por Kronika, Jake, Bendoraitis, Aidas
    Publicado 2018
    Enlace del recurso
    Django 2 web development cookbook: 100 practical recipes on building scalable Python web apps with Django 2
  2. 1482
    por Combs, Alexander T, Roman, Michael
    Publicado 2019
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    Python machine learning blueprints: put your machine learning concepts to the test by developing real-world smart projects
  3. 1483
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    Ensemble machine learning cookbook: over 35 practical recipes to explore ensemble machine learning techniques using Python
  4. 1484
    por Freeman, Richard Takashi
    Publicado 2019
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    Building serverless microservices in Python: a complete guide to building, testing, and deploying microservices using serverless computing on AWS
  5. 1485
    por Miller, James D
    Publicado 2019
    Enlace del recurso
    Hands-on machine learning with IBM Watson: leverage IBM Watson to implement machine learning techniques and algorithms using Python
  6. 1486
    por Greeneltch, Nathan
    Publicado 2019
    “…With this book, you will be able to extract useful insights using common Python libraries. You will also learn key stages like data loading, cleaning, analysis, visualization to build an efficient data mining pipeline.…”
    Enlace del recurso
    Python data mining quick start guide: a beginner's guide to extracting valuable insights from your data
  7. 1487
    por Mengle, Saket S R, Gurmendez, Maximo
    Publicado 2019
    Enlace del recurso
    Mastering machine learning on AWS: advanced machine learning in Python using SageMaker, Apache Spark, and TensorFlow
  8. 1488
    Enlace del recurso
    Hands-on ensemble learning with Python: build highly optimized ensemble machine learning models using scikit-learn and Keras
  9. 1489
    por Galli, Soledad
    Publicado 2020
    “…In this book, you will work with the best Python tools to streamline your feature engineering pipelines, feature engineering techniques and simplify and improve the quality of your code.…”
    Enlace del recurso
    Python feature engineering cookbook: over 70 recipes for creating, engineering, and transforming features to build machine learning models
  10. 1490
    “…RESULTS: We present the ERStruct Python Package, which enables the inference of population structure using whole-genome sequencing data. …”
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    Online Artículo Texto
    ERStruct: a fast Python package for inferring the number of top principal components from whole genome sequencing data
  11. 1491
    por Chèvremont, William
    Publicado 2023
    “…The graphical user interface (GUI) Python software that is used to implement this method is available under a GPLv3 license on ESRF GitLab, and produces a spline file that is usable with data-reduction software such as FIT2D or pyFAI.…”
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    Online Artículo Texto
    SpatDistCalib: a GUI Python software for spatial-distortion correction of 2D detectors using splines
  12. 1492
    “…The toolbox is registered with the Python Package Index and includes example data sets from various multiprimary systems. …”
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    Online Artículo Texto
    PySilSub: An open-source Python toolbox for implementing the method of silent substitution in vision and nonvisual photoreception research
  13. 1493
    “…MitoHiFi is written in python and is freely available on GitHub (https://github.com/marcelauliano/MitoHiFi). …”
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    Online Artículo Texto
    MitoHiFi: a python pipeline for mitochondrial genome assembly from PacBio high fidelity reads
  14. 1494
    “…Here we introduce pyCaverDock, a Python3 API designed to improve user experience with the tool and further facilitate the ligand transport analyses. …”
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    Online Artículo Texto
    pyCaverDock: Python implementation of the popular tool for analysis of ligand transport with advanced caching and batch calculation support
  15. 1495
    “…It modularly builds on the established stack of Python scientific libraries and is accompanied by a rigorous testing framework with 98% test coverage. …”
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    Online Artículo Texto
    AlphaPeptStats: an open-source Python package for automated and scalable statistical analysis of mass spectrometry-based proteomics
  16. 1496
    por Soibam, Benjamin
    Publicado 2023
    “…RESULTS: We develop a Python tool, ChromNetMotif, offering an easy-to-use command line interface to extract chromatin-state-marked motifs from a chromatin interaction network. …”
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    Online Artículo Texto
    ChromNetMotif: a Python tool to extract chromatin-sate marked motifs in a chromatin interaction network
  17. 1497
    “…A good cell atlas includes all major stages in a species’ ontogeny, and soon, they will be standard even for nonmodel species. Here, we propose a Python package called oggmap, which allows for the easy extraction of an orthomap (gene ages per orthogroup) for any given query species from OrthoFinder and other gene family data resources, like homologous groups from eggNOG or PLAZA. oggmap provides extracted gene ages for more than thousand eukaryotic species which can be further used to calculate gene age-weighted expression data from scRNA sequencing objects using the Python Scanpy toolkit. …”
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    Online Artículo Texto
    oggmap: a Python package to extract gene ages per orthogroup and link them with single-cell RNA data
  18. 1498
    “…It is implemented in Python and makes extensive use of the scientific Python stack (numpy, scipy, networkx, scikit-learn, scikit-image, and others). …”
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    Online Artículo Texto
    Graph-based active learning of agglomeration (GALA): a Python library to segment 2D and 3D neuroimages
  19. 1499
    “…In this article, we describe the use of Python for large-scale automated server-based bio-image analysis in FARSIGHT, a free and open-source toolkit of image analysis methods for quantitative studies of complex and dynamic tissue microenvironments imaged by modern optical microscopes, including confocal, multi-spectral, multi-photon, and time-lapse systems. …”
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    Online Artículo Texto
    Large-scale automated image analysis for computational profiling of brain tissue surrounding implanted neuroprosthetic devices using Python
  20. 1500
    “…Code examples using the MNE-Python package are provided at each step, guiding the reader through a complete analysis of the freely available openfMRI ds000117 “familiar vs. unfamiliar vs. scrambled faces” dataset. …”
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    Online Artículo Texto
    Analysis of Functional Connectivity and Oscillatory Power Using DICS: From Raw MEG Data to Group-Level Statistics in Python
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