Interactive Data Science Projects with PyTorch, Shiny, and Pandas
Build Interactive Data Science Apps with PyTorch, Shiny, and Pandas in Python
Created by Ron Erez
Explore how to build interactive data science applications using PyTorch, Shiny, and Pandas in Python. Gain hands-on experience creating dynamic dashboards, visualizing data, and integrating machine learning models into web apps. Develop practical skills for building powerful, interactive data projects.
Packt | Nov 2025 | 245 min
What You Will Learn
You will learn by building real interactive applications, starting with simple dashboards and progressing to more advanced projects that combine data visualization and machine learning. Each step introduces new tools and techniques, helping you connect concepts and apply them to practical data science challenges.
Key Features
- Create interactive dashboards and data visualizations with Shiny and Python
- Integrate PyTorch machine learning models into web-based data apps
- Analyze and visualize CSV data using dynamic charts and tables
Target Audience
Designed for data scientists, analysts, and developers with some Python experience who want to expand their skills in building interactive data apps. If you are looking to combine machine learning with dynamic web dashboards, or want to work more efficiently with data in Python, you will find these projects valuable and approachable.
