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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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Summary

In this chapter, we learned about numpy, a library designed to do vectorized operations. We also learned about NumPy arrays, which are the main objects in NumPy. We learned how to create them, looked into their various attributes, explored which arrays are used in basic math, and did some manipulation with arrays. Then, we learned how to perform and run simple simulations using NumPy.

In the next chapter, we will look at pandas, the most popular library for doing data analysis in Python.

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