September 2018
Intermediate to advanced
472 pages
12h 2m
English
book
Python Data Science Essentials - Third Edition
by Alberto Boschetti, Luca Massaron, Pietro Marinelli, Matteo Malosetti
Content preview from Python Data Science Essentials - Third Edition
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From a standalone machine to a bunch of nodes
Handling big data is not just a matter of size; it's actually a multifaceted phenomenon. In fact, according to the 3V model (volume, velocity and variety), systems operating on big data can be classified using three (orthogonal) criteria:
- The first criterion to consider is the velocity that the system achieves to process the data. Although a few years ago, speed was used to indicate how quickly a system was able to process a batch, nowadays, velocity indicates whether a system can provide real-time outputs on streaming data.
- The second criterion is volume; that is, how much information is available to be processed. It can be expressed in the number of rows or features, or just a bare count of ...
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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.Julian F.
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.
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.Amir M.
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.