July 2017
Intermediate to advanced
398 pages
11h 54m
Chinese
Content preview from Python数据处理
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结论
｜
331
•
使用你的知识、技术和能力，用于公正和有益的事情；
•
为你周围的人贡献知识；
•
回馈帮助你的社区；
•
挑战迄今为止你学到的道德的反面，并且继续开发。
我们鼓励你在数据处理者的职业生涯中迎接这些挑战。你是否喜欢同其他人一起工作，分
享知识？成为一名导师！你是否喜欢某个开源包？成为一个代码或文档的贡献者！你是否
研究过重要的社会或健康问题？将你的发现贡献给学术团体或社区！你是否经历过来自某
个社区或代码的难题？向全世界分享你的故事吧。
15.2
数据处理之上
本书的课程提高了你的技能，但是你还有很多要学习的东西。根据你的技术栈和兴趣，有
许多领域值得进一步探索。
15.2.1
成为一名更优秀的数据分析师
本书介绍了统计和数据分析。如果你想要真正地夯实统计和分析技能，需要花更多的时间
阅读方法背后的科学知识，同样还要学习一些更专业的
Python
包，这样你在分析数据集时
会有更多的能力和灵活性。
为了学习更高级的统计学知识，回归模型和数据分析背后的数学知识是必须学习的。如
果你没有上过任何统计学课程，
Edx
有一个很棒的来自加州大学伯克利分校的存档课程
（
https://courses.edx.org/courses/BerkeleyX/Stat_2.1x/1T2014/info
）。如果你想通过读书来探
索，
Allen Downey
的《统计思维：程序员数学之概率统计（第
2
版 ）》
1
很好地介绍了统计数
学概念并且使用了
Python
。
Cathy O
’
Neill
和
Rachel Schutt
的《数据科学实战》 ...
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and much more.
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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.