November 2022
Intermediate to advanced
392 pages
10h 8m
Chinese
Content preview from Python算法交易
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335
附录
Python
、
NumPy
、
matplotlib
和
pandas
不要空谈，给我看你的代码就好。
——Linus Tovalds
在过去几年中，
Python
变成了一门强大的编程语言，并发展成了一个庞大包含很多
有用软件包的生态系统。本附录简要概述了
Python
和所谓的科学计算或数据科学计
算技术栈的三个主要支柱：
•
NumPy
（参见
https://numpy.scipy.org
）。
•
Matplotlib
（参见
https://matplotlib.org
）。
•
Pandas
（参见
https://pandas.pydata.org
）。
NumPy
提供对大型同类数值数据集的高性能数组操作，而
Pandas
主要设计用于高效
处理表格数据，例如金融时序数据。
作为介绍性附录（本章仅涉及选定的与本课程其余内容相关的主题），当然它不能
取代对
Python
和其所涵盖的包的全面介绍。但是，如果你对
Python
或一般编程比
较陌生，你可能会对
Python
有一个初步的了解和感受。如果你已经熟悉量化金融中
常用的另一种语言（例如
Matlab
、
R
、
C++
或
VBA
），你就会看到
Python
中的典
型数据结构、编程范式和习语是怎样的。
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and much more.
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