Streamlit Applications: Building Interactive Data Science Dashboards and Machine Learning Web Apps with Python: Convert Your Python Data Analysis & Machine ... Series – Learn. Build. Master. Book 7)

by Muhammad Sohail

Transform Your Data Analysis into Interactive Web Applications – No Web Development Experience Required

Are you a data scientist, analyst, or machine learning engineer who wants to share your insights through beautiful, interactive applications but lacks web development skills? This comprehensive guide to Streamlit shows you how to convert Python data analysis and ML models into production-ready web applications using only the Python you already know.

What You'll Learn

FOUNDATIONS & CORE CONCEPTS
- Master Streamlit's unique execution model and component system
- Build interactive interfaces with widgets, forms, and dynamic layouts
- Implement professional UI/UX design patterns without CSS or JavaScript
- Create responsive multi-page applications with navigation and state management

REAL-WORLD PROJECTS YOU'LL BUILD
✓ Titanic Survival Prediction App – Interactive ML classifier with user inputs and probability displays
✓ Heart Disease Risk Assessment Dashboard – Medical-grade application with visualizations and recommendations
✓ Universal EDA Tool – Generic data exploration application that works with any dataset

ADVANCED TECHNIQUES & DEPLOYMENT
- Performance optimization through intelligent caching strategies
- Session state management for complex multi-step workflows
- Database integration and external API connectivity
- Deploy to Streamlit Cloud, Heroku, Render, or Docker containers
- Implement secrets management and production-ready configurations

Why This Book Stands Out

✓ PROJECT-BASED Build four complete, deployable applications from scratch
✓ PRODUCTION Learn deployment, optimization, and best practices—not just basic features
✓ NO WEB DEVELOPMENT Perfect for data professionals without frontend experience
✓ REAL-WORLD Connect ML models, databases, APIs, and geospatial data

Who This Book Is For
This book is perfect
- Data Scientists wanting to deploy machine learning models as web applications
- Business Analysts creating interactive dashboards and reports
- Python Developers building data-driven applications quickly
- Students and Researchers visualizing data analysis results

What's Inside

PART Streamlit Fundamentals and Setup
Complete coverage of installation, core components, widgets, layout systems, and the Streamlit execution model

PART Building Real-World Applications
Three comprehensive projects covering classification, regression, and generic EDA tools with full source code

PART Advanced Topics and Deployment
Session state, caching optimization, callbacks, external integrations, and deployment to multiple platforms

Practical Skills You'll Gain

- Convert Jupyter notebooks into interactive web applications in hours
- Deploy ML models with user-friendly interfaces for non-technical stakeholders
- Create data

256 pages, Kindle Edition

Published December 2, 2025