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,
O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.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.I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.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.
Chapter 12. Leveraging Python in the World of Big Data
We are generating more and more data day by day. We have generated more data this century than in the previous century and we are currently only 15 years into this century. big data is the new buzz word and everyone is talking about it. It brings new possibilities. Google Translate is able to translate any language, thanks to big data. We are able to decode our human genome due to it. We can predict the failure of a turbine and do the required maintenance on it because of big data.
There are three Vs of big data and they are defined as follows:
- Volume: This defines the size of the data. Facebook has petabytes of data on its users.
- Velocity: This is the rate at which data is generated.
- Variety ...
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