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Pandas in 7 Days: Utilize Python to Manipulate Data, Conduct Scientific Computing, Time Series Analysis, and Exploratory Data Analysis

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Publisher: BPB Publications

Language: ENGLISH

Publication date: Sat Apr 2024

Pages: 428

ISBN: 9789355512130

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Product Details

  • Make data analysis fast, reliable, and clean with Python, Pandas and Matplotlib.

     

    KEY FEATURES

    ● A detailed walk-through of the Pandas library's features with multiple examples.

    ● Numerous graphical representations and reporting capabilities using popular Matplotlib.

    ● A high-level overview of extracting data from including files, databases, and the web.

     

    DESCRIPTION

    No matter how large or small your dataset is, the author 'Fabio Nelli' simply used this book to teach all the finest technical coaching on applying Pandas to conduct data analysis with zero worries.

     

    Both newcomers and seasoned professionals will benefit from this book. It teaches you how to use the pandas library in just one week.

     

    WHAT YOU WILL LEARN

    ●Extract, cleanse, and process data from databases, text files, HTML pages, and JSON data.

    ●Work with DataFrames and Series, and apply functions to scale data manipulations.

    ●Graph your findings using charts typically used in modern business analytics.

    ●Learn to use all of the pandas basic and advanced features independently.

     

    WHO THIS BOOK IS FOR

    If you're looking to expedite a data science or sophisticated data analysis project, you've come to the perfect place. Each data analysis topic is covered step-by-step with real-world examples. Python knowledge isn't required however, knowing a little bit helps.

    Product Name Pandas in 7 Days: Utilize Python to Manipulate Data, Conduct Scientific Computing, Time Series Analysis, and Exploratory Data Analysis
    Product Sub Title Pandas in 7 Days: Utilize Python to Manipulate Data, Conduct Scientific Computing, Time Series Analysis, and Exploratory Data Analysis
    Author by Fabio Nelli (Author)
    Publisher BPB Publications
    Publishing Year 2022
    Pages 428
    Language ENGLISH
    Product Code RIPIN1654761004
    ISBN13 9789355512130
    Shipping Time 2 Days

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