Details zum E-Book

Getting Started with Streamlit for Data Science. Create and deploy Streamlit web applications from scratch in Python

Getting Started with Streamlit for Data Science. Create and deploy Streamlit web applications from scratch in Python

Tyler Richards

E-book
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.
By the end of this book, you’ll be able to create dynamic web apps in Streamlit quickly and effortlessly using the power of Python.
  • 1. An Introduction to Streamlit
  • 2. Uploading, Downloading, and Manipulating Data
  • 3. Data Visualization
  • 4. Using Machine Learning with Streamlit
  • 5. Deploying Streamlit with Streamlit Sharing
  • 6. Beautifying Streamlit Apps
  • 7. Exploring Streamlit Components
  • 8. Deploying Streamlit Apps with Heroku and AWS
  • 9. Improving Job Applications With Streamlit
  • 10. The Data Project - Prototyping Projects in Streamlit
  • 11. Using Streamlit for Teams
  • 12. Streamlit Power Users
  • Titel: Getting Started with Streamlit for Data Science. Create and deploy Streamlit web applications from scratch in Python
  • Autor: Tyler Richards
  • Originaler Titel: Getting Started with Streamlit for Data Science. Create and deploy Streamlit web applications from scratch in Python
  • ISBN: 9781800563209, 9781800563209
  • Veröffentlichungsdatum: 2021-08-20
  • Format: E-book
  • Artikelkennung: e_2a86
  • Verleger: Packt Publishing