November 2022
Intermediate to advanced
392 pages
10h 8m
Chinese
Content preview from Python算法交易
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Python
基础架构
｜
31
户通常只为实际使用小时付费。另一个优势是，如果需要，此类云实例实际上
在一两分钟内就可用，这对敏捷开发和可伸缩性都很有帮助。
本章的结构如下。“
Conda
作为软件包管理器”介绍了
conda
作为
Python
的软件
包管理器。“作为虚拟环境管理器的
Conda
”专注于虚拟环境管理的
conda
功能。
“使用
Docker
容器”对
Docker
作为一种容器化技术做了简要概述，并着重于通过
Python 3.8
安装构建基于
Ubuntu
的容器。“使用云实例”展示了如何部署
Python
和
Jupyter Lab
（
https://oreil.ly/4LqUS
），这是一个用于在云中进行
Python
开发和
部署的功能强大的基于浏览器的工具套件。
本章的目标是能在专业基础架构上正确完成可用的最重要的工具以及数值，数据分
析和可视化软件包的
Python
安装。在以后的章节中，无论是交互式金融分析代码还
是脚本和模块形式的代码，这种组合都将成为实现和部署
Python
代码的基础。
2.1 Conda
作为软件包管理器
尽管
conda
可以单独安装，但有效的方法是通过
Miniconda
（一种最小的
Python
发
行版），其中包括
conda
作为软件包和虚拟环境管理器。
2.1.1
安装
Miniconda
你可以在
Miniconda
页面（
https://oreil.ly/-Z_6H
）上下载不同版本的
Miniconda
。接
下来，我们假定使用
Python 3.8 64
位版本，该版本可用于
Linux
，
Windows
和
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.