May 2025
Intermediate to advanced
506 pages
6h 56m
Chinese
Overview
本作品已使用人工智能进行翻译。欢迎您提供反馈和意见：translation-feedback@oreilly.com
在过去的十年里，技术发生了翻天覆地的变化。数据成为热门话题，云无处不在，许多组织都需要某种形式的自动化。在这些转变中，Python 已成为世界上最受欢迎的编程语言之一。这本实用资源向您展示了如何使用 Python 和当今最实用的 DevOps 工具（包括 Docker、Kubernetes 和 Terraform）完成日常的 Linux 系统管理任务。
对于数百万专业人士而言，学习如何与 Linux 进行交互和自动化是必不可少的。Python 使这一切变得更轻松。通过本书，您将学习如何使用容器开发软件和解决问题，以及如何监控、测量、负载测试和运行软件。正在寻找在 Python 中"完成工作"的有效方法？本书是您的指南。
- Python 基础知识，包括语言简介
- 如何自动化文本处理、编写命令行工具及自动化文件系统
- Linux 实用程序、软件包管理、构建系统、监控和仪器、自动化测试
- 云计算、基础设施即代码、Kubernetes 和无服务器
- 从 DevOps 的角度看机器学习操作和数据工程
- 构建、部署和运营机器学习项目
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