December 2015
Beginner to intermediate
202 pages
4h
English
Content preview from Python Business Intelligence CookbookBecome 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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Importing a CSV file into a Pandas DataFrame
Pandas is an open-source, high-performance library that provides easy-to-use data structures and data analysis tools for Python. Pandas was created to aid in the analysis of time series data, and has become a standard in the Python community. Not only does it provide data structures, such as a Series and a DataFrame, that help with all aspects of data science, it also has built-in analysis methods which we'll use later in the book.
Before we can start cleaning and standardizing data using Pandas, we need to get the data into a Pandas DataFrame, the primary data structure of Pandas. You can think of a DataFrame like an Excel document—it has rows and columns. Once data is in a DataFrame, we can use the ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.