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Become a Python Data Analyst

You're reading from   Become a Python Data Analyst Perform exploratory data analysis and gain insight into scientific computing using Python

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Product type Paperback
Published in Aug 2018
Publisher Packt
ISBN-13 9781789531701
Length 178 pages
Edition 1st Edition
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Author (1):
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Alvaro Fuentes Alvaro Fuentes
Author Profile Icon Alvaro Fuentes
Alvaro Fuentes
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Pandas - Everyone's Favorite Data Analysis Library

In this chapter, we will introduce the pandas library. We will talk about Pandas, its capabilities, and its importance in the Python data science stack. We will also talk about series and DataFrames, the main objects in the pandas library. We will discuss their properties, and some of the operations and manipulations that we can do with these objects when doing data analysis. Further on, we will see some examples of how to use the objects in this library using a real-world dataset and answer some simple questions about datasets. The chapter will cover the following topics:

  • The pandas library
  • The operation and manipulation of pandas
  • Answering simple questions about datasets with examples
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