Build practical automation skills through an expanded third edition featuring new chapters on AI models, MCP, and intelligent agents, guiding you from core Python workflows to modern agentic automation.

Key Features

Apply proven Python automation recipes to solve real-world tasks
Integrate AI models and build intelligent agents for business workflows
Extend automation across systems using MCP and modern integrations

Book Description

Automating repetitive tasks and integrating systems efficiently becomes increasingly complex as workflows scale. This book helps you solve that problem with practical Python recipes that guide you from foundational automation to advanced, AI-powered workflows.

You start by building a strong base in Python automation, exploring tested solutions for file handling, web scraping, APIs, testing, and system operations, and learning how to design reliable automation workflows. The cookbook approach enables you to quickly apply solutions to real problems while building a deeper understanding through hands-on practice.

This third edition expands the scope of automation by introducing AI-powered capabilities. You learn how to call AI models within your scripts, use and implement the Model Context Protocol (MCP) for system integration, and design intelligent agents that automate decision-making processes. New chapters provide real-world examples of AI agents in business automation, helping you move beyond scripts to adaptive systems. This book combines practical knowledge with modern techniques to ensure you stay current with evolving automation practices.

By the end of this book, you will be able to design, build, and extend Python automation workflows, including AI-driven solutions, to handle complex real-world tasks with confidence.

What you will learn

Automate file, system, and network tasks using Python
Build robust scripts for web scraping and API integration
Design scalable automation workflows for real use cases
Integrate AI models into automation pipelines
Implement MCP for system-level automation integration
Develop intelligent agents for business automation
Apply testing and debugging techniques for automation
Create real-world AI-driven automation solutions

Who this book is for

Python developers, automation engineers, DevOps professionals, and system administrators who want to streamline workflows and integrate modern AI capabilities into automation. A basic understanding of Python programming is recommended.

Let's Begin Our Automation Journey
Automating Tasks Made Easy
Building Your First Web Scraping Application
Searching and Reading Local Files
Generating Fantastic Reports
Fun with Spreadsheets
Cleaning and Processing Data
Developing Stunning Graphs
Dealing with Communication Channels
Why Not Automate Your Marketing Campaign?
Calling AI Models
Adding Tools to GenAI
Building AI Agents for Business Automation
Real-World AI Example
Automatic Testing Routines
Debugging Techniques

"Synopsis" may belong to another edition of this title.

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Python Automation Cookbook - Third Edition

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