September 2015
Intermediate to advanced
260 pages
5h 2m
English
Content preview from Mastering Python High PerformanceBecome 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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The pandas tool
The second tool that we'll discuss in this chapter is called pandas (http://pandas.pydata.org/). It is an open source library that provides high-performance, easy-to-use data structures, and data-analysis tools for Python.
This tool was invented back in 2008 by developer Wes McKinney while needing a performant solution to perform quantitative analysis on financial data. The library has become one of the most popular and active projects in the Python community.
One thing to note regarding the performance of code written using pandas is that parts of its critical code paths were written using Cython (we covered Cython in Chapter 6, Generic Optimization Options).
Installing pandas
Given the popularity of pandas, there are many ways to ...
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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.