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Python算法交易
book

Python算法交易

by Yves Hilpisch
November 2022
Intermediate to advanced
392 pages
10h 8m
Chinese
China Electric Power Press Ltd.
Content preview from Python算法交易
58
|
第
2
章
云实例(例如
DigitalOcean
)和
Jupyter Lab
(由
Jupyter Notebook
服
务器提供支持)是
Python
开发人员和算法交易从业人员进行工作并利用
专业计算和存储基础设施的强大组合。专业的云和数据中心提供商确保
你的(虚拟)计算机在物理上是安全的并且具有高可用性。使用云实例
还可以使探究和开发阶段保持相当低的成本,因为通常按小时收费,而
无需签订长期协议。
2.5
小结
Python
不仅是本书的首选语言,而且是几乎所有领先的金融机构都选择的编程语言
和技术平台。但是,
Python
部署可能是棘手的,有时甚至是乏味且令人不安的。
幸运的是,当今可以使用的技术(几乎所有这些技术都还不到十年)可以帮助解决
部署问题。开源软件
conda
有助于
Python
软件包和虚拟环境管理。
Docker
容器的
优势甚至在于,可以在技术屏蔽的“沙盒”或容器中轻松创建完整的文件系统和运
行时环境。更进一步,
DigitalOcean
等云提供商提供了可以在数分钟内就可到位的
有专业管理和安全保护的数据中心的计算和存储能力,
并且是按小时计费。这与
Python 3.8
和安全的
Jupyter book/lab
服务器相结合,为在
Python
上下文中用于
算法交易项目的
Python
开发和部署提供了专业的环境。
2.6
参考资料和延伸资源
对于
Python
包管理,可参考下面的资源:
•
pip
包管理页面(
https://pypi.python.org/pypi/pip
)。
•
conda
包管理页面(
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Publisher Resources

ISBN: 9787519869694