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Python数据处理
book

Python数据处理

by Jacqueline Kazil, Katharine Jarmul
July 2017
Intermediate to advanced
398 pages
11h 54m
Chinese
Posts & Telecom Press
Content preview from Python数据处理
4
1
1.1
 为什么选择
Python
有那么多种编程语言,本书为什么选择使用
Python
?你可能听说过以下这些语言中的一种
或多种:
R
MATLAB
Java
C/C++
HTML
JavaScript
Ruby
,这取决于你的专业背
景。这些语言都有一种或多种主要用途,有些还可以用于数据处理。你也可以用
Excel
程序进行数据处理。用
Excel
Python
编程,通常会得到相同的结果,但其中一种语言的
效率更高。然而有时候,像
Excel
这样的程序无法完成任务。我们选择
Python
而不是其他
语言,是因为
Python
很容易上手,处理数据的过程也简单明了。
如果你想了解
Python
和其他语言的技术性区别,可查阅附录
A
。看完里面的解释,你就
可以告诉其他分析师或开发人员你使用
Python
的原因。我们相信作为开发新人,你会从
Python
的易用性中受益,同时我们希望本书能成为你的数据处理工具箱中有参考价值的一
本书。
Python
除了上述作为语言的优点,
Python
社区还是最开放和最乐于助人的社区之一。世上
没有完美的社区,但
Python
社区为新人创造了一个良好的环境:有时会有本地的教程、免
费课堂、线下聚会等,有时还会举办大型会议,人们聚在一起解决问题并分享知识。
拥有大型社区的好处显而易见——有人能回答你的问题,有人能为你的代码或模块的结构
出谋划策,有人能让你学习借鉴,还有共享代码供你在其之上构建自己的代码。想了解更
多的内容,可查阅附录
B
社区因成员的支持而存在。刚开始使用
Python
时,你从社区中得到的帮助会多于你的付 ...
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Publisher Resources

ISBN: 9787115459190