October 2014
Beginner to intermediate
348 pages
6h 55m
English
Content preview from Python Data AnalysisBecome 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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Summary
We looked over the borders of Python in this chapter. Outside the Python ecosystem, programming languages such as R, C, Java, and Fortran are fairly popular. We checked out libraries that provide glue to connect Python with external code—rpy2 for R, SWIG and Boost for C, JPype for Java, and f2py for Fortran. Cloud computing aims to deliver computing power as a utility over the Internet. A brief overview of current Cloud computing services specialized in Python, including Google App Engine, PythonAnywhere, and Wakari was also given.
The next chapter, Chapter 12, Performance Tuning, Profiling, and Concurrency, gives hints on improving performance. Typically, we can speed up Python code by optimizing our code by using parallelization or rewriting ...
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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.