Python for Automation

Python for Automation

From HTTP Clients to Production Services — Build Real Automation Tools

Repetitive tasks consume time, introduce errors, and make workflows harder to maintain. Python for Automation shows you how to build practical automation tools that do more than execute a few commands: they can communicate with APIs, process files, manage data, run concurrently, and operate as dependable services.

Designed for readers who already know Python fundamentals, this book takes you from standalone scripts to structured automation systems with the reliability and organization needed for real-world use.

What You Will Learn

• Design maintainable automation tools using object-oriented programming.
• Manage files, folders, command-line arguments, and subprocesses.
• Use logging and configuration to make automation easier to monitor.
• Build HTTP clients and interact with REST APIs.
• Store and retrieve information using SQLite.
• Understand threading, multiprocessing, and asynchronous programming with asyncio.
• Handle errors, retries, resilience, and observability.
• Test automation code with pytest and manage dependencies.
• Package and deploy Python automation tools.
• Run a Python service on Linux using systemd.

Build an Automation Suite

Throughout the book, you will develop a continuous project based on a realistic business scenario. The project brings together automated reporting, email generation, Excel updates, scheduling, and deployment. Each stage introduces techniques that help make your automation more structured, testable, and dependable.

Who Is This Book For?

• Python developers who want to automate repetitive business tasks.
• IT professionals and analysts building internal automation tools.
• Developers who want to integrate APIs, databases, and file operations.
• Readers ready to move from small scripts to deployed automation services.

Go beyond simple scripts and learn to build automation tools that are structured, testable, observable, and ready to run in practical environments.

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