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Python数据处理
book

Python数据处理

by Jacqueline Kazil, Katharine Jarmul
July 2017
Intermediate to advanced
398 pages
11h 54m
Chinese
Posts & Telecom Press
Content preview from Python数据处理
自动化和规模化
319
了一系列的工具,你可以用来迅速编写、部署和管理代码。你可以使用
Ansible
来迁移项目,
备份远程机器上的数据。你还可以使用它根据需要来使用安全补丁或新的包更新服务器。
Ansible
有一个快速开始的视频(
http://docs.ansible.com/quickstart.html
),可用来了解所有
的基础知识,但是我们同样想强调文档中描述的几个最有用的特性:
MySQL
数据库管理(
http://docs.ansible.com/mysql_db_module.html
Digital Ocean
基本单元和键管理(
http://docs.ansible.com/ansible/list_of_cloud_modules.
html#digital-ocean
滚动升级和部署指南(
http://docs.ansible.com/guide_rolling_upgrade.html
同样建议你查看
Justin Ellingwood
的关于
Ansible
操作的介绍(
https://www.digitalocean.
com/community/tutorials/how-to-create-ansible-playbooks-to-automate-system-configuration-
on-ubuntu
)和
Servers for Hackers
关于
Ansible
的扩展介绍(
https://serversforhackers.com/an-
ansible-tutorial ...
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Publisher Resources

ISBN: 9787115459190