Python For Automation & Scripting: From Local Scripts to Scheduled, Production-Grade Infrastructure Automation (The Applied Python Library) - Softcover

Inhaltsangabe

Stop Repeating Tasks. Start Building Automation That Works.

Every developer has experienced it.

Renaming hundreds of files. Cleaning spreadsheets. Downloading reports. Managing servers. Monitoring logs. Running the same commands every day. Updating cloud resources. Creating backups. Checking system health.

Most of these tasks shouldn't be done manually.

They should be automated.

Python for Automation & Scripting is a practical guide for Python developers who want to move beyond simple scripts and build reliable automation systems that can run safely, efficiently, and unattended in real-world environments. Instead of focusing on isolated examples, this book teaches you how professional engineers design automation tools that are secure, maintainable, and production-ready.

Throughout the book, you'll build Foreman, a complete automation platform that grows chapter by chapter. Beginning with filesystem operations and command-line tools, you'll progressively develop a professional automation toolkit capable of managing files, interacting with APIs, automating cloud resources, administering remote servers, scheduling recurring jobs, monitoring systems, handling failures, and deploying automation services that can be trusted to run without constant supervision.

Unlike many automation books that simply show how to make scripts work, this guide focuses on something even more important: making automation safe. Automation amplifies everything it does—including mistakes. That's why you'll learn how to write defensive code, build idempotent workflows, implement structured logging, recover gracefully from failures, and create automation systems that remain reliable long after they leave your laptop.

Inside you'll learn how to:

• Automate repetitive tasks using modern Python
• Build professional command-line applications
• Work safely with files, directories, and operating systems
• Consume REST APIs and automate web-based workflows
• Perform responsible web scraping
• Schedule recurring jobs and background services
• Manage remote servers using SSH and Fabric
• Automate AWS cloud infrastructure with Python
• Build Docker and infrastructure automation workflows
• Implement logging, monitoring, error handling, and resilient automation
• Package, distribute, and deploy production-ready automation tools

Every chapter combines practical projects, fully explained Python code, engineering best practices, and realistic scenarios inspired by the daily work of developers, DevOps engineers, system administrators, and IT professionals.

Whether your goal is to eliminate repetitive work, automate infrastructure, improve operational efficiency, or build powerful internal tools, this book provides the practical knowledge required to transform Python into one of your most valuable productivity tools.

By the end of the book, you won't simply know how to write scripts.

You'll know how to engineer automation systems that are reliable, scalable, and trusted to run in production.

Build once.

Automate forever.

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