May 2018
Beginner
472 pages
15h 3m
English
Content preview from The Quick Python Book, Third EditionBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Chapter 24. Exploring data
This chapter covers
- Python’s advantages for handling data
- Jupyter Notebook
- pandas
- Data aggregation
- Plots with matplotlib
Over the past few chapters, I’ve dealt with some aspects of using Python to get and clean data. Now it’s time to look at a few of the things that Python can help you do to manipulate and explore data.
24.1. Python tools for data exploration
In this chapter, we’ll look at some common Python tools for data exploration: Jupyter notebook, pandas, and matplotlib. I can only touch briefly on a few features of these tools, but the aim is to give you an idea of what is possible and some initial tools to use in exploring data with Python.
24.1.1. Python’s advantages for exploring data
Python has become ...
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