Richards Getting Started with Streamlit for Data Science

Create and deploy Streamlit web applications from scratch in Python
1. Auflage 2021
ISBN: 978-1-80056-320-9
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 282 Seiten

No detailed description available for "Getting Started with Streamlit for Data Science".

Autoren/Hrsg.

Richards, Tyler

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse

Inhaltsverzeichnis

Table of Contents - An Introduction to Streamlit

- Uploading, Downloading, and Manipulating Data
- Data Visualization
- Using Machine Learning with Streamlit
- Deploying Streamlit with Streamlit Sharing
- Beautifying Streamlit Apps
- Exploring Streamlit Components
- Deploying Streamlit Apps with Heroku and AWS
- Improving Job Applications With Streamlit
- The Data Project - Prototyping Projects in Streamlit
- Using Streamlit for Teams
- Streamlit Power Users

Über Autor(innen)

Richards Tyler:

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.