October 2014
Beginner to intermediate
348 pages
6h 55m
English
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Summary
In this chapter, we tuned the performance of the sentiment analysis script from Chapter 9, Analyzing Textual Data and Social Media. Using profiling, Cython, and various improvements, we doubled the execution speed of that example. We also used multiprocessing, Joblib, Jug, and MPI via IPython Parallel to take advantage of parallelization.
This was the last chapter of this book. After the appendices and the index, there is only the back cover. Of course, the learning process will not stop. Change the code to suit your needs. It's always nice to have a private data analysis project, even if it is just for practice. If you can't think of a project, join a competition on http://www.kaggle.com/. They have several competitions with nice prizes. ...
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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.