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Getting Started with Streamlit for Data Science

You're reading from Getting Started with Streamlit for Data Science Create and deploy Streamlit web applications from scratch in Python

Product type Paperback

Published in Aug 2021

Publisher Packt

ISBN-13 9781800565500

Length 282 pages

Edition 1st Edition

Languages

Python

Tools

Streamlit

Concepts

Data Science

Author (1):

Tyler Richards

View More author details

Table of Contents (17) Chapters

Preface

1. Section 1: Creating Basic Streamlit Applications

2. Chapter 1: An Introduction to Streamlit FREE CHAPTER

3. Chapter 2: Uploading, Downloading, and Manipulating Data

4. Chapter 3: Data Visualization

5. Chapter 4: Using Machine Learning with Streamlit

6. Chapter 5: Deploying Streamlit with Streamlit Sharing

7. Section 2: Advanced Streamlit Applications

8. Chapter 6: Beautifying Streamlit Apps

9. Chapter 7: Exploring Streamlit Components

10. Chapter 8: Deploying Streamlit Apps with Heroku and AWS

11. Section 3: Streamlit Use Cases

12. Chapter 9: Improving Job Applications with Streamlit

13. Chapter 10: The Data Project – Prototyping Projects in Streamlit

14. Chapter 11: Using Streamlit for Teams

15. Chapter 12: Streamlit Power Users

16. Other Books You May Enjoy

Chapter 12: Streamlit Power Users

Welcome to the final chapter of this book! In this chapter, we will learn from the best, from Streamlit creators with experience creating dozens of apps and components, Streamlit power users turned Streamlit employees, and even the founder of the Streamlit library who now runs the fledgling company supporting the library's development. We sat down and interviewed four different users and learned about their backgrounds, their experience with Streamlit, and what tips they have for users of all experience levels. From these interviews, we will learn how they use Streamlit on a day-to-day basis at work, for teaching, and also about where Streamlit is going from here.

This chapter is grouped into four interviews:

Fanilo Andrianasolo, Streamlit creator and tech lead at Worldline
Johannes Rieke, Streamlit creator turned engineer
Adrien Treuille, Streamlit founder and CEO
Charly Wargnier, Streamlit creator and SEO consultant...

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Authors (1)

Tyler Richards

Tyler Richards

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.

See other products by Tyler Richards

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