January 2022
Beginner to intermediate
602 pages
13h 51m
English
Content preview from Hands-On Data Preprocessing in Python
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Chapter 1: Review of the Core Modules of NumPy and Pandas
NumPy and Pandas modules are capable of meeting your needs for the majority of data analytics and data preprocessing tasks. Before we start reviewing these two valuable modules, I would like to let you know that this chapter is not meant to be a comprehensive teaching guide to these modules, but rather a collection of concepts, functions, and examples that will be invaluable, as we will cover data analytics and data preprocessing in proceeding chapters.
In this chapter, we will first review the Jupyter Notebooks and their capability as an excellent coding User Interface (UI). Next, we will review the most relevant data analytic resources of the NumPy and Pandas Python modules.
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