Getting Started with Streamlit for Data Science
- Paperback: 282 pages
- Publisher: WOW! eBook (August 20, 2021)
- Language: English
- ISBN-10: 180056550X
- ISBN-13: 978-1800565500
Getting Started with Streamlit for Data Science: Create, deploy, and test your Python applications, analyses, and models with ease using Streamlit
Streamlit shortens the development time for the creation of data-focused web applications, allowing data scientists to create web app prototypes using Python in hours instead of days. Getting Started with Streamlit for Data Science takes a hands-on approach to helping you learn the tips and tricks that will have you up and running with Streamlit in no time.
You’ll start with the fundamentals of Streamlit by creating a basic app and gradually build on the foundation by producing high-quality graphics with data visualization and testing machine learning models. As you advance through the chapters, you’ll walk through practical examples of both personal data projects and work-related data-focused web applications, and get to grips with more challenging topics such as using Streamlit Components, beautifying your apps, and quick deployment of your new apps.
- Set up your first development environment and create a basic Streamlit app from scratch
- Explore methods for uploading, downloading, and manipulating data in Streamlit apps
- Create dynamic visualizations in Streamlit using built-in and imported Python libraries
- Discover strategies for creating and deploying machine learning models in Streamlit
- Use Streamlit sharing for one-click deployment
- Beautify Streamlit apps using themes, Streamlit Components, and Streamlit sidebar
- Implement best practices for prototyping your data science work with Streamlit
By the end of this Getting Started with Streamlit for Data Science book, you’ll be able to create dynamic web apps in Streamlit quickly and effortlessly using the power of Python.
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