Python for Data Analysis, Third Edition

Data Wrangling with pandas, NumPy, and Jupyter

Author: Wes McKinney

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9789355421906
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    This product will be shipped on 12-09-2022

    Best book on Python Data Analysis

    AuthorWes McKinney Leadtime to ship in days (default)ships in 1-2 days

    All Indian Reprints of O'Reilly are Printed in Grayscale.

    Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.10 and pandas 1.4, the third edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You'll learn the latest versions of pandas, NumPy, and Jupyter in the process.

    Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It's ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub.

    • Use the Jupyter notebook and IPython shell for exploratory computing
    • Learn basic and advanced features in NumPy
    • Get started with data analysis tools in the pandas library
    • Use flexible tools to load, clean, transform, merge, and reshape data
    • Create informative visualizations with matplotlib
    • Apply the pandas groupby facility to slice, dice, and summarize datasets
    • Analyze and manipulate regular and irregular time series data
    • Learn how to solve real-world data analysis problems with thorough, detailed examples
    Books
    Author
    Wes McKinney
    Binding
    Paperback
    Condition Type
    New
    Country Origin
    India
    Edition
    Third
    Gift Wrap
    No
    Lead time to ship in days (if not in stock)
    ships in 12-15 days
    Leadtime to ship in days (default)
    ships in 1-2 days
    Pages
    584
    Publication Date
    12/09/2022
    Publisher
    Shroff/O'Reilly
    Year
    2022
    Dimensions
    Dimensions (W x H x D)
    7 x 9 x 1.1 inches

    Table of Contents (9789355421906_toc.pdf, 57 Kb) [Download]

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