In this tutorial we will explore streamlit components and build a simple EDA web app using Pandas Profiling and Sweetviz for analysis. We will be using streamlit version 0.63 and up.


Official Docs:[ Ссылка ]
Article on Streamlit Components by @streamlit :
[ Ссылка ]
Code: [ Ссылка ]

== Installation==
pip install -U streamlit
pip install pandas_profiling streamlit-pandas-profiling sweetviz

Credits:
@streamlitofficial
@ghasel
@tconkling

Udemy Course : Building ML Web Appshttps://www.udemy.com/course/building-machine-learning-web-apps-with-python/?referralCode=0708D7CBFE0B755E3869

Tutorial Outline:
0:50 Demo
04:00 Types of Streamlit Components
04:18 Static Components
05:18 Bi-Directional Components
07:00 Setup & Installation of version 0.63
09:00 Basic App structure
12:48 Streamlit Components
15:52 Components.html()
18:34 Image Slider/Carousel with components.html()
23:00 Pandas Profiling Section
24:38 Streamlit Pandas Profiling Components
29:49 Sweetviz Section
32:00 Custom Fxn with Components.html() for Sweetviz
40:00 Recap of App
40:40 Components.iframe()
41:55 Custom Footer with Components.html()


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J-Secur1ty JCharisTech

Jesus Saves


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