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Streamlit for Data Science

You're reading from   Streamlit for Data Science Create interactive data apps in Python

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Product type Paperback
Published in Sep 2023
Publisher Packt
ISBN-13 9781803248226
Length 300 pages
Edition 2nd Edition
Languages
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Author (1):
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Tyler Richards Tyler Richards
Author Profile Icon Tyler Richards
Tyler Richards
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Toc

Table of Contents (15) Chapters Close

Preface 1. An Introduction to Streamlit 2. Uploading, Downloading, and Manipulating Data FREE CHAPTER 3. Data Visualization 4. Machine Learning and AI 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 13. Other Books You May Enjoy
14. Index

Index

A

AgGrid

URL 151

Altair 54, 64, 65

Andrianasolo, Fanilo 245-249

Application Programming Interface (API) 75, 174, 226

B

Bentley, Gerard 252-255

BigQuery account

URL 186

BigQuery Python Connector 186

Blackwood, Zachary 256-261

Bokeh 62, 64

built-in graphing functions 52-58

built-in visualization options 58

C

caching 40-43

color picker

colors, picking with 138-140

columns

working with 123-127

Components

finding 170

D

Dash 58

data manipulation 39, 40

data science ideation 224, 225

discussion forums

reference link 170

drill-down graphs

creating, with streamlit-plotly-events 155-159

E

editable DataFrames 144-147

adding, with streamlit-aggrid 151-155

external AI libraries integration 97

authenticating, with OpenAI 97

generative AI, adding to Streamlit apps 98-103

OpenAI API cost 97

external ML libraries

integrating 95-97

F

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