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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 the Anaconda distribution. We also installed all the software that we will use in the course, which is contained in the Anaconda distribution, and we learned about Jupyter Notebook and the basics of working with Jupyter Notebooks; about the code cells, the markdown cells, and the most useful keyboard command shortcuts to work with Jupyter and make our workflow more efficient.

In the next chapter, we will learn about NumPy, which is the core library for doing numerical computing and is at the core of every scientific computing project in the PythonX system.

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