5 AI Prompt Engineering Habits for Perfect Python Data Visualizations
Last Updated on July 15, 2023 by Editorial Team
Author(s): John Loewen, PhD
Originally published on Towards AI.
Fine-tuning your prompting skills for easy and efficient visuals
Dall-E image: impressionist painting in rich deep color of a bar chart
Data visualization is a cornerstone of data analysis, and Python is the preferred tool for this task.
The ability to use modular prompt engineering with ChatGPT has removed entry barriers for some, and expedited for others, the process of generating Python code for data visualization.
Here are 5 prompt engineering habits that you can engrain in your brain to enhance your proficiency with ChatGPT to aid in Python data visualization code creation.
When using Modular Prompting ChatGPT, the specificity of your prompts directly influences the quality of the generated code. Make it… Read the full blog for free on Medium.
Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.
Published via Towards AI
Towards AI Academy
We Build Enterprise-Grade AI. We'll Teach You to Master It Too.
15 engineers. 100,000+ students. Towards AI Academy teaches what actually survives production.
Start free — no commitment:
→ 6-Day Agentic AI Engineering Email Guide — one practical lesson per day
→ Agents Architecture Cheatsheet — 3 years of architecture decisions in 6 pages
Our courses:
→ AI Engineering Certification — 90+ lessons from project selection to deployed product. The most comprehensive practical LLM course out there.
→ Agent Engineering Course — Hands on with production agent architectures, memory, routing, and eval frameworks — built from real enterprise engagements.
→ AI for Work — Understand, evaluate, and apply AI for complex work tasks.
Note: Article content contains the views of the contributing authors and not Towards AI.
Related posts
Recent Posts
