Streamlit for Data Science: Create interactive data apps in Python 2nd ed

An easy-to-follow and comprehensive guide to creating data apps with Streamlit, including how-to guides for working with cloud data warehouses like Snowflake, using pretrained Hugging Face and OpenAI models, and creating apps for job interviews.

Key Features

• Create machine learning apps with random forest, Hugging Face, and GPT-3.5 turbo models
• Gain an insight into how experts harness Streamlit with in-depth interviews with Streamlit power users
• Discover the full range of Streamlit's capabilities via hands-on exercises to effortlessly create and deploy well-designed apps

Book Description

If you work with data in Python and are looking to create data apps that showcase ML models and make beautiful interactive visualizations, then this is the ideal book for you.