August 2015
Beginner to intermediate
294 pages
5h 20m
English
Content preview from Mastering Python for Data ScienceBecome 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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Empowering data analysis with pandas
The pandas library was developed by Wes McKinny when he was working at AQR Capital Management. He wanted a tool that was flexible enough to perform quantitative analysis on financial data. Later, Chang She joined him and helped develop the package further.
The pandas library is an open source Python library, specially designed for data analysis. It has been built on NumPy and makes it easy to handle data. NumPy is a fairly low-level tool that handles matrices really well.
The pandas library brings the richness of R in the world of Python to handle data. It's has efficient data structures to process data, perform fast joins, and read data from various sources, to name a few.
The data structure of pandas
The pandas ...
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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.