About Streamlit :
Streamlit is a library/framework in python that helps you make interactive data driven web application without writing any complicated codes.
Special Advantages:
Streamlit can help you achieve complicated workings with minimalistic (few lines) of code. More than that there are other advantages of using streamlit like :
- Connecting it with react framework is lucid and a piece of cake.
- The in-built framework is completely responsive.
- Integrating ML models had never been easier.
- You can also make CRUD (Create Read Update Delete) applications using streamlit and it also support data base connectivity.
- Facilitates interfaces to drive data uploads in various file formats.
Resources To Use:
Books and Projects
Apart from the official page of streamlit recently I just received a copy of a book from Shifa Ansari and this book is your one stop solution for learning python. The link to the book is here :
Getting Started with Streamlit for Data Science
I'm also going to share a few project links to my gitHub repos that have data science based apps created using streamlit. Go through the codebases and I'm sure it will be helpful for you all.
- Movie Recommendation System
- Emotion Detector
- Laptop Price Predictor
- To Do App
- Automated ML App
- Auto KMeans Cluster Creator and Analysis Project
Online Tutorials:
Beginner Framework Familiarity Stuff
Underrated Channel With end to end tutorials
Advanced and Moderate Data Science Stuff
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