July 2017
Intermediate to advanced
398 pages
11h 54m
Chinese
Content preview from Python数据处理
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编程语言对比
｜
335
A.2
R
或
MATLAB
与
Python
Python
有许多库（补充代码），能够实现与
R
和
MATLAB
相同的功能。这些库的名字
是
pandas
（
http://pandas.pydata.org/
）和
numpy
（
http://www.numpy.org/
）。这些库可以处
理与大数据和统计分析相关的任务。如果你想学习更多这方面的内容，你应该查阅
Wes
McKinney
的《利用
Python
进行数据分析》一书。如果你在
R
或
MATLAB
方面有较强的
专业背景，可以继续用这些工具来处理数据。在这种情况下，
Python
是一个很好的补充工
具。但是，用同一种语言负责工作流程中的每一个环节，可以让数据处理过程更容易，维
护起来也更加方便。同时学习
R
（或
MATLAB
）和
Python
，你可以根据具体项目需求来
选择使用哪种语言，这样可以更好地满足项目的需求，也更加方便。
A.3
HTML
与
Python
解释为什么不用
HTML
处理数据，就如同解释为什么不把水放到油箱里一样，你就是不会
这么做。
HTML
的用途不在于此。
HTML
代表
HyperText Markup Language
（超文本标记
语言），用来为浏览器中显示的网页提供基本结构。我们在第
3
章中讨论过
XML
，与此类
似，我们也可以用
Python
解析
HTML
，但反过来却不行。
A.4
JavaScript
与
Python
JavaScript
是一种向网页添加交互与功能的语言，不要与
Java
混为一谈。
JavaScript
运行在
浏览器中。
Python
与浏览器分离，运行在计算机系统上。 ...
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