Getting Started with Taipy
The definitive guide to creating production-ready Python applications for data professionals
Created by Eric Narro
Learn how to build interactive, production-ready data applications using Python and Taipy. You'll discover how to turn your data models and analyses into user-friendly apps that deliver real business impact. Gain practical skills for deploying machine learning models and visualizations in environments like the cloud or Docker.
Packt | Oct 2025 | 370 min
What You Will Learn
You'll work through practical coding exercises that guide you from the basics of Taipy to advanced features. By building complete applications, you'll see how to integrate machine learning models, connect to different data sources, and polish your apps for performance and usability. Each step helps you apply concepts to real-world scenarios.
Key Features
- Build interactive data apps that visualize KPIs, charts, and maps for end users
- Deploy machine learning models and data pipelines in production environments
- Streamline workflows by connecting to various data sources and services
Target Audience
This content is ideal for data analysts, data scientists, BI analysts, and developers who want to create production-ready Python data apps. If you have experience with Python and want to make your models and analyses accessible to non-technical users, you'll find clear guidance for building, deploying, and scaling impactful applications.
