November 2022
Intermediate to advanced
392 pages
10h 8m
Chinese
Content preview from Python算法交易
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6
｜
前言
本书的读者对象
本书适用希望在迷人的算法交易领域应用
Python
的学生、学者和从业者。本书假设
你至少在基本层面上具有
Python
编程和金融交易方面的背景知识。作为参考和回顾，
附录介绍了重要的
Python
、
NumPy
、
matplotlib
和
pandas
主题。以下是很好的参考
资料，可以帮助你充分理解对本书很重要的
Python
主题。大多数读者至少可以阅读
Hilpisch
（
2018
）作为参考。关于应用于算法交易的机器和深度学习方法，
Hilpisch
（
2020
）
提供了丰富的背景信息和大量的具体例子。有关
Python
应用于金融、金
融数据科学和人工智能的背景信息可以在以下书籍中找到：
Hilpisch, Yves. 2018.
Python for Finance: Mastering Data-Driven Finance
. 2nd ed.
Sebastopol: O
’
Reilly.
——
. 2020.
Artificial Intelligence in Finance: A Python-Based Guide
. Sebastopol:
O
’
Reilly.
McKinney, Wes. 2017.
Python for Data Analysis: Data Wrangling with Pandas, NumPy,
and IPython
. 2nd ed. Sebastopol: O
’
Reilly.
Ramalho, Luciano. 2021.
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