Beginning ChatGPT for Python: Build Intelligent Applications with OpenAI APIs

Build with ChatGPT, not just around it 💻

Beginning ChatGPT for Python: Build Intelligent Applications with OpenAI APIs is a hands-on guide for Python developers who want to start working directly with OpenAI APIs. The book begins with the fundamentals—ChatGPT concepts, tokens, temperature, the Playground, and the system role—then steadily moves into practical application building.

What makes this title especially useful is its project-driven structure. Instead of staying abstract, it shows how to put the API to work in real Python tools: a chat client, a Slack message summarizer, a podcast visualizer built with Whisper and DALL·E, and Discord bots for Q&A and moderation. That progression gives the book a clear rhythm: learn a concept, apply it, and then extend it into something useful.

What the book covers

• Getting started with the OpenAI library and basic chat completions
• Prompt engineering ideas that support more useful outputs
• Building small Python apps around API calls and model responses
• Using audio transcription, image generation, and moderation workflows
• Creating bot-style automation for Slack and Discord

A practical fit for developers

This is a strong match for Python programmers who want a structured introduction to ChatGPT-style workflows and prefer learning through real examples. The chapters build from fundamentals toward more advanced integrations, so the book can work as both a guided start and a reference for specific API-driven projects.

Why it stands out

Rather than treating AI as a buzzword, the book focuses on implementation details that matter: how requests are shaped, how responses are handled, and how different OpenAI capabilities can be combined inside a working application. For readers who want to move from experimentation to usable code, that practical emphasis is the real draw.