Výsledky vyhledávání - Efficient Data Science in Python

Upřesnit hledání
  1. 1

    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
    Vydáno: 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…”
    Získat plný text
    Konferenční příspěvek
  2. 2

    PyTond: Efficient Python Data Science on the Shoulders of Databases Autor Shahrokhi, Hesam, Kaboli, Amirali, Ghorbani, Mahdi, Shaikhha, Amir

    ISSN: 2375-026X
    Vydáno: IEEE 13.05.2024
    Vydáno v Data engineering (13.05.2024)
    “…Python data science libraries such as Pandas and NumPy have recently gained immense popularity…”
    Získat plný text
    Konferenční příspěvek
  3. 3

    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
    Vydáno: Birmingham PACKT Publishing 2015
    “…The book starts by introducing you to setting up your essential data science toolbox…”
    Získat plný text
    E-kniha
  4. 4

    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
    Vydáno: London BioMed Central 20.12.2021
    Vydáno 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…”
    Získat plný text
    Journal Article
  5. 5

    PyTond: Efficient Python Data Science on the Shoulders of Databases Autor Shahrokhi, Hesam, Kaboli, Amirali, Ghorbani, Mahdi, Shaikhha, Amir

    ISSN: 2331-8422
    Vydáno: Ithaca Cornell University Library, arXiv.org 16.07.2024
    Vydáno v arXiv.org (16.07.2024)
    “…Python data science libraries such as Pandas and NumPy have recently gained immense popularity…”
    Získat plný text
    Paper
  6. 6

    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
    Vydáno: 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…”
    Získat plný text
    E-kniha Kniha
  7. 7
  8. 8

    Hands-on Data Science and Python Machine Learning Autor Kane Frank

    ISBN: 9781787280748, 1787280748
    Vydáno: 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…”
    Získat plný text
    E-kniha
  9. 9

    Python for Everyone: Learn and polish your coding skills in Python (English Edition) Autor Saurabh Chandrakar, Dr. Nilesh Bhaskarrao Bahadure

    ISBN: 9789355518170, 935551817X
    Vydáno: Los Angeles BPB Publications 2023
    “… ? Get familiar with the core and advanced Python concepts. ? Work with the most used Data Science libraries in Python…”
    Získat plný text
    E-kniha
  10. 10

    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
    Vydáno: Elsevier B.V 01.09.2021
    “…•Open-source Python library for preprocessing, augmentation and sampling of medical images for deep learning…”
    Získat plný text
    Journal Article
  11. 11

    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
    Vydáno: England Oxford University Press 2024
    Vydáno 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…”
    Získat plný text
    Journal Article
  12. 12

    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
    Vydáno: London Oxford University Press 01.12.2021
    “…ABSTRACT We introduce zeus, a well-tested Python implementation of the Ensemble Slice Sampling (ESS…”
    Získat plný text
    Journal Article
  13. 13

    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
    Vydáno: London Routledge 15.12.2023
    Vydáno 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…”
    Získat plný text
    Journal Article
  14. 14

    Efficient Multiple Imputation for Diverse Data in Python and R : MIDASpy and rMIDAS Autor Lall, Ranjit, Robinson, Thomas

    ISSN: 1548-7660, 1548-7660
    Vydáno: Foundation for Open Access Statistics 01.10.2023
    Vydáno 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…”
    Získat plný text
    Journal Article
  15. 15

    HiPy: Extracting High-Level Semantics from Python Code for Data Processing Autor Jungmair, Michael, Engelke, Alexis, Giceva, Jana

    ISSN: 2475-1421, 2475-1421
    Vydáno: New York, NY, USA ACM 08.10.2024
    “…Data science workloads frequently include Python code, but Python's dynamic nature makes efficient execution hard…”
    Získat plný text
    Journal Article
  16. 16

    Omilayers: a Python package for efficient data management to support multi-omic analysis Autor Kioroglou, Dimitrios

    ISSN: 1471-2105, 1471-2105
    Vydáno: London BioMed Central 06.02.2025
    Vydáno 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…”
    Získat plný text
    Journal Article
  17. 17

    PxBLAT: an efficient python binding library for BLAT Autor Li, Yangyang, Yang, Rendong

    ISSN: 1471-2105, 1471-2105
    Vydáno: London BioMed Central 19.06.2024
    Vydáno 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…”
    Získat plný text
    Journal Article
  18. 18
  19. 19

    PecanPy: a fast, efficient and parallelized Python implementation of node2vec Autor Liu, Renming, Krishnan, Arjun

    ISSN: 1367-4803, 1367-4811, 1367-4811
    Vydáno: England Oxford University Press 11.10.2021
    Vydáno 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…”
    Získat plný text
    Journal Article
  20. 20

    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
    Vydáno: England Oxford University Press 28.11.2024
    Vydáno 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…”
    Získat plný text
    Journal Article