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    3. Hands-On Data Analysis with NumPy and pandas: Implement Python packages from data manipulation to processing

    Hands-On Data Analysis with NumPy and pandas: Implement Python packages from data manipulation to processing

    Posted By: AlenMiler
    Date: 4 Jul 2018 09:40:19
    Hands-On Data Analysis with NumPy and pandas: Implement Python packages from data manipulation to processing

    Hands-On Data Analysis with NumPy and pandas: Implement Python packages from data manipulation to processing by Curtis Miller
    English | 29 Jun. 2018 | ISBN: 1789530792 | 168 Pages | EPUB | 4.56 MB

    Get to grips with the most popular Python packages that make data analysis possible

    Key Features
    Explore the tools you need to become a data analyst
    Discover practical examples to help you grasp data processing concepts
    Walk through hierarchical indexing and grouping for data analysis

    Book Description
    Python, a multi-paradigm programming language, has become the language of choice for data scientists for visualization, data analysis, and machine learning.

    Hands-On Data Analysis with NumPy and Pandas starts by guiding you in setting up the right environment for data analysis with Python, along with helping you install the correct Python distribution. In addition to this, you will work with the Jupyter notebook and set up a database. Once you have covered Jupyter, you will dig deep into Python's NumPy package, a powerful extension with advanced mathematical functions. You will then move on to creating NumPy arrays and employing different array methods and functions. You will explore Python's pandas extension which will help you get to grips with data mining and learn to subset your data. Last but not the least you will grasp how to manage your datasets by sorting and ranking them.

    By the end of this book, you will have learned to index and group your data for sophisticated data analysis and manipulation.

    What you will learn
    Understand how to install and manage Anaconda
    Read, sort, and map data using NumPy and pandas
    Find out how to create and slice data arrays using NumPy
    Discover how to subset your DataFrames using pandas
    Handle missing data in a pandas DataFrame
    Explore hierarchical indexing and plotting with pandas

    Who This Book Is For
    Hands-On Data Analysis with NumPy and Pandas is for you if you are a Python developer and want to take your first steps into the world of data analysis. No previous experience of data analysis is required to enjoy this book.

    Table of Contents
    Setting Up a Python Data Analysis Environment
    Diving into NumPY
    Operations on NumPy Arrays
    Pandas Are Fun! What Is pandas?
    Arithmetic, Function Application and Mapping with pandas
    Managing, Indexing, and Plotting

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