Prompting Python Data Visualization

Turn natural language into production-ready Python charts

Key Features

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? End-to-end Python visualization workflow, from data handling to production.

? Hands-on Matplotlib and Seaborn mastery, from fundamentals to advanced use.

? AI-powered visualization workflows using prompts, automation, and templates.

Book Description

Data visualization turns complex data into insight, alignment, and action-and it is a core skill for modern data, analytics, and engineering roles. Prompting Python Data Visualization shows you how to design clear, trustworthy visuals in Python, while accelerating the entire workflow by translating natural-language intent into working visualization code with AI.

You begin with the foundations of visual thinking and data handling, then build strong technical skills using Matplotlib and Seaborn. The book takes you from basic plots to advanced layouts, styling, annotations, time-series analysis, and publication-ready exports, grounded in real-world analytics and reporting use cases.

What you will learn

? Apply visual thinking principles to design meaningful charts

? Build and customize Matplotlib visualizations for real-world use

? Use Seaborn to explore distributions, categories, and relationships

Table of Contents

1. The Foundation of Visual Thinking

2. Setting Up Your Visualization Environment

3. Data Handling Essentials

4. Matplotlib Fundamentals

5. Customizing Matplotlib Aesthetics

6. Arranging Matplotlib Plots

7. Advanced Matplotlib Techniques

8. Preparing Matplotlib for Production

9. Introduction to Seaborn

10. Seaborn for Distribution and Categorical Data

11. Seaborn for Relationships and Matrix Plots

12. Advanced Seaborn Features

13. Prompting for Visualization Code

14. Refining AI-Generated Visualizations

15. Automation with AI Prompts

16. Building Reusable Prompt Templates

17. Data Storytelling and Ethics

18. The Future of Visualization AI

Index