Výsledky vyhľadávania - Efficient Data Science in Python

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    Blink: Towards Efficient RDMA-based Communication Coroutines for Parallel Python Applications Autor Shafi, Aamir, Hashmi, Jahanzeb Maqbool, Subramoni, Hari, Panda, Dhabaleswar K.

    ISSN: 2640-0316
    Vydavateľské údaje: IEEE 01.12.2020
    “…Python is emerging as a popular language in the data science community due to its ease-of-use, vibrant community, and rich set of libraries…”
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    Konferenčný príspevok..
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    PyTond: Efficient Python Data Science on the Shoulders of Databases Autor Shahrokhi, Hesam, Kaboli, Amirali, Ghorbani, Mahdi, Shaikhha, Amir

    ISSN: 2375-026X
    Vydavateľské údaje: IEEE 13.05.2024
    Vydané v Data engineering (13.05.2024)
    “…Python data science libraries such as Pandas and NumPy have recently gained immense popularity…”
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    Konferenčný príspevok..
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    Python data science essentials: become an efficient data science practitioner by thoroughly understanding the key concepts of Python Autor Boschetti, Alberto, Massaron, Luca

    ISBN: 1785280422, 9781785287893, 1785287893, 9781785280429
    Vydavateľské údaje: Birmingham PACKT Publishing 2015
    “…The book starts by introducing you to setting up your essential data science toolbox…”
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    E-kniha
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    pyKVFinder: an efficient and integrable Python package for biomolecular cavity detection and characterization in data science Autor Guerra, João Victor da Silva, Ribeiro-Filho, Helder Veras, Jara, Gabriel Ernesto, Bortot, Leandro Oliveira, Pereira, José Geraldo de Carvalho, Lopes-de-Oliveira, Paulo Sérgio

    ISSN: 1471-2105, 1471-2105
    Vydavateľské údaje: London BioMed Central 20.12.2021
    Vydané v BMC bioinformatics (20.12.2021)
    “… To fulfill this need, we developed pyKVFinder, a Python package to detect and characterize cavities in biomolecular structures for data science and automated pipelines…”
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    Journal Article
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    PyTond: Efficient Python Data Science on the Shoulders of Databases Autor Shahrokhi, Hesam, Kaboli, Amirali, Ghorbani, Mahdi, Shaikhha, Amir

    ISSN: 2331-8422
    Vydavateľské údaje: Ithaca Cornell University Library, arXiv.org 16.07.2024
    Vydané v arXiv.org (16.07.2024)
    “…Python data science libraries such as Pandas and NumPy have recently gained immense popularity…”
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    Paper
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    Hands-on data science and Python machine learning: perform data mining and machine learning efficiently using Python and Spark Autor Kane, Frank

    ISBN: 9781787280748, 1787280748
    Vydavateľské údaje: Birmingham PACKT Publishing 2017
    “… Hands-On Data Science and Python Machine Learning gives you the tools that you need to understand and explore the core topics in the field, and the confidence and practice to build and analyze your…”
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    E-kniha Kniha
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    Hands-on Data Science and Python Machine Learning Autor Kane Frank

    ISBN: 9781787280748, 1787280748
    Vydavateľské údaje: Packt Publishing 2017
    “… them. Based on author successful data science course, this book empowers you to conduct data analysis and perform efficient machine learning using Python…”
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    E-kniha
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    Python for Everyone: Learn and polish your coding skills in Python (English Edition) Autor Saurabh Chandrakar, Dr. Nilesh Bhaskarrao Bahadure

    ISBN: 9789355518170, 935551817X
    Vydavateľské údaje: Los Angeles BPB Publications 2023
    “… ? Get familiar with the core and advanced Python concepts. ? Work with the most used Data Science libraries in Python…”
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    E-kniha
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    TorchIO: A Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning Autor Pérez-García, Fernando, Sparks, Rachel, Ourselin, Sébastien

    ISSN: 0169-2607, 1872-7565, 1872-7565
    Vydavateľské údaje: Elsevier B.V 01.09.2021
    “…•Open-source Python library for preprocessing, augmentation and sampling of medical images for deep learning…”
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    Journal Article
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    ZMPY3D: accelerating protein structure volume analysis through vectorized 3D Zernike moments and Python-based GPU integration Autor Lai, Jhih-Siang, Burley, Stephen K, Duarte, Jose M

    ISSN: 2635-0041, 2635-0041
    Vydavateľské údaje: England Oxford University Press 2024
    Vydané v Bioinformatics advances (2024)
    “… As the volume of experimental and computationally-predicted protein structure information continues to increase, structural biology has become a “big data…”
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    Journal Article
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    zeus: a python implementation of ensemble slice sampling for efficient Bayesian parameter inference Autor Karamanis, Minas, Beutler, Florian, Peacock, John A

    ISSN: 0035-8711, 1365-2966, 1365-2966
    Vydavateľské údaje: London Oxford University Press 01.12.2021
    “…ABSTRACT We introduce zeus, a well-tested Python implementation of the Ensemble Slice Sampling (ESS…”
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    Journal Article
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    Efficient access to qualitative data: a case of MD&A analysis from 10-K with Python via SEC's API Autor Lee, Joo Hyung, Lee, Seung Jae

    ISSN: 1350-4851, 1466-4291
    Vydavateľské údaje: London Routledge 15.12.2023
    Vydané v Applied economics letters (15.12.2023)
    “…: using Python with 10-K filings via the U.S. Securities and Exchange Commission's application programming interface, we show how to broaden the source of data available for research…”
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    Journal Article
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    Efficient Multiple Imputation for Diverse Data in Python and R : MIDASpy and rMIDAS Autor Lall, Ranjit, Robinson, Thomas

    ISSN: 1548-7660, 1548-7660
    Vydavateľské údaje: Foundation for Open Access Statistics 01.10.2023
    Vydané v Journal of statistical software (01.10.2023)
    “…This paper introduces software packages for efficiently imputing missing data using deep learning methods in Python (MIDASpy) and R (rMIDAS…”
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    Journal Article
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    HiPy: Extracting High-Level Semantics from Python Code for Data Processing Autor Jungmair, Michael, Engelke, Alexis, Giceva, Jana

    ISSN: 2475-1421, 2475-1421
    Vydavateľské údaje: New York, NY, USA ACM 08.10.2024
    “…Data science workloads frequently include Python code, but Python's dynamic nature makes efficient execution hard…”
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    Journal Article
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    Omilayers: a Python package for efficient data management to support multi-omic analysis Autor Kioroglou, Dimitrios

    ISSN: 1471-2105, 1471-2105
    Vydavateľské údaje: London BioMed Central 06.02.2025
    Vydané v BMC bioinformatics (06.02.2025)
    “…Multi-omic integration involves the management of diverse omic datasets. Conducting an effective analysis of these datasets necessitates a data management…”
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    Journal Article
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    PxBLAT: an efficient python binding library for BLAT Autor Li, Yangyang, Yang, Rendong

    ISSN: 1471-2105, 1471-2105
    Vydavateľské údaje: London BioMed Central 19.06.2024
    Vydané v BMC bioinformatics (19.06.2024)
    “…Background With the surge in genomic data driven by advancements in sequencing technologies, the demand for efficient bioinformatics tools for sequence analysis has become paramount…”
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    Journal Article
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    PecanPy: a fast, efficient and parallelized Python implementation of node2vec Autor Liu, Renming, Krishnan, Arjun

    ISSN: 1367-4803, 1367-4811, 1367-4811
    Vydavateľské údaje: England Oxford University Press 11.10.2021
    Vydané v Bioinformatics (Oxford, England) (11.10.2021)
    “… We have developed PecanPy, a new Python implementation of node2vec that uses cache-optimized compact graph data structures and precomputing/parallelization to result in fast, high-quality node…”
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    Journal Article
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    easySCF: a tool for enhancing interoperability between R and Python for efficient single-cell data analysis Autor Zhang, Haoyun, Zhang, Wentao, Zhao, Shuai, Xu, Guangyu, Shen, Yi, Jiang, Feng, Qin, An, Cui, Lei

    ISSN: 1367-4811, 1367-4803, 1367-4811
    Vydavateľské údaje: England Oxford University Press 28.11.2024
    Vydané v Bioinformatics (Oxford, England) (28.11.2024)
    “…Summary This study introduces easySCF, a tool designed to enhance the interoperability of single-cell data between the two major bioinformatics platforms, R and Python…”
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    Journal Article