What this book covers
Chapter 1, Introduction to pandas and Data Analysis, will introduce pandas and explain where it fits in the data analysis pipeline. We will also look into some of the popular applications of pandas and how Python and pandas can be used for data analysis.
Chapter 2, Installation of pandas and Supporting Software, will deal with the installation of Python (if necessary), the pandas library, and all necessary dependencies for the Windows, macOS X, and Linux platforms. We will also look into the command-line tricks and options and settings for pandas as well.
Chapter 3, Using NumPy and Data Structures with pandas, will give a quick tour of the power of NumPy and provide a glimpse of how it makes life easier when working ...
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