Python for AI Agents: Practical Programming for Building Intelligent and Autonomous Agents
Language: English
Published by Independently published, 2026
- Softcover
- New
Seller: California Books, Miami, FL, U.S.A.California Books
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- Title
- Python for AI Agents: Practical Programming for Building Intelligent and Autonomous Agents
- Author
- Hodnett, Jorge
- Publisher
- Independently published
- Publication year
- 2026
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 13
- 9798171993009
Python for AI Agents: Practical Programming for Building Intelligent and Autonomous Agents gives you a clear, practical path from basic Python concepts to building complete AI agent applications.
Rather than treating agents as mysterious systems, this book shows you how their essential components work together. You will learn how Python controls the model, tools, APIs, memory, retrieval, workflows, and external services that make an agent useful.
Inside, you will learn how to:
• Build the core agent loop that manages decisions, actions, and results
• Connect Python applications to large language models
• Create safe, reusable Python functions that agents can use as tools
• Work with external APIs and services
• Add short-term and persistent memory to your agents
• Build knowledge-aware agents with embeddings, vector search, and RAG
• Design multi-step agent workflows with state, retries, and failure handling
• Use the Model Context Protocol (MCP) to connect agents with tools and resources
• Build specialized agents that communicate, delegate, and coordinate tasks
• Protect APIs, credentials, tools, memory, and sensitive data
• Test agent decisions, tools, workflows, and unexpected behavior
• Add logging and monitoring while controlling performance and model costs
• Deploy and maintain a production-ready Python agent
The book focuses on the engineering behind AI agents instead of locking you into one framework. You will see practical Python patterns and code examples that help you understand what is happening beneath higher-level agent libraries. This gives you knowledge you can continue using even as models, frameworks, and development tools change.
You will also learn an important principle of reliable agent development: the model can reason and propose actions, but your Python application should control what is actually allowed to happen. This approach helps you build agents that are easier to test, secure, debug, and maintain.
Whether you are a Python developer exploring agentic AI, an AI developer moving beyond simple chat applications, or a programmer who wants to understand how autonomous agents are actually built, this book gives you a practical foundation you can build on.
You will also receive useful quick-reference material covering Python for agent development, common agent patterns, troubleshooting, security and testing checks, and a production-readiness checklist.
Stop piecing together disconnected tutorials and start understanding how complete AI agents are built. Get your copy of Python for AI Agents today and start building intelligent Python agents that can reason, use tools, retrieve knowledge, coordinate tasks, and operate as real software applications.
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