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

Streamlit for Data Science: Create interactive data apps in Python 2nd ed. Edition
by 作者: Tyler Richards (Author), Adrien Treuille (Foreword)
Publisher Finelybook 出版社: Packt Publishing; 2nd ed. edition (September 29, 2023)
Language 语言: English
Pages 页数: 300 pages
ISBN-10 书号: 180324822X
ISBN-13 书号: 9781803248226

Book Description
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. Streamlit for Data Science, Second Edition, shows you how to create and deploy data apps quickly, all within Python. This helps you create prototypes in hours instead of days!
Written by a prolific Streamlit user and senior data scientist at Snowflake, this fully updated second edition builds on the practical nature of the previous edition with exciting updates, including connecting Streamlit to data warehouses like Snowflake, integrating Hugging Face and OpenAI models into your apps, and connecting and building apps on top of Streamlit databases. Plus, there is a totally updated code repository on GitHub to help you practice your newfound skills.
You'll start your journey with the fundamentals of Streamlit and gradually build on this foundation by working with machine learning models and producing high-quality interactive apps. The practical examples of both personal data projects and work-related data-focused web applications will help you get to grips with more challenging topics such as Streamlit Components, beautifying your apps, and quick deployment.
By the end of this book, you'll be able to create dynamic web apps in Streamlit quickly and effortlessly.

What you will learn
Set up your first development environment and create a basic Streamlit app from scratch
Create dynamic visualizations using built-in and imported Python libraries
Discover strategies for creating and deploying machine learning models in Streamlit
Deploy Streamlit apps with Streamlit Community Cloud, Hugging Face Spaces, and Heroku
Integrate Streamlit with Hugging Face, OpenAI, and Snowflake
Beautify Streamlit apps using themes and components
Implement best practices for prototyping your data science work with Streamlit

Who this book is for
This book is for data scientists and machine learning enthusiasts who want to get started with creating data apps in Streamlit. It is terrific for junior data scientists looking to gain some valuable new skills in a specific and actionable fashion and is also a great resource for senior data scientists looking for a comprehensive overview of the library and how people use it. Prior knowledge of Python programming is a must, and you’ll get the most out of this book if you’ve used Python libraries like Pandas and NumPy in the past.
Table of
1. An Introcuction to Streamlit
2. Uploading, Downloading, and vlanipulating Data
3. Data visualization
4. Ivlachine Learning and Al with Streamlit
5. Deploying Streamlit with Streamlit Community Cloud
6. Beautifying Streamlit Apps
7. Exploring Streamlit Components
8. Deploying Streamlit Apps with Hugging Face and Heroku
9. Connecting to Databases
10. Improving Job Applications with Streamlit
11. The Data Project - Prototyping Projects in Streamlit
12. Streamlit Power Users

About the Author
Tyler Richards is a senior data scientist at Snowflake, working on a variety of Streamlit-related projects. Before this, he worked on integrity as a data scientist for Meta and non-profits like Protect Democracy. While at Facebook, he launched the first version of this book and subsequently started working at Streamlit, which was acquired by Snowflake early in 2022. Amazon page

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