Webapps with StreamLit || Faster webapps with python StreamLit

Streamlit is an open source app framework in Python language. It helps us create web apps for data science and machine learning in a short time. It is compatible with major Python libraries such as scikit-learn, Keras, PyTorch, SymPy(latex), NumPy, pandas, Matplotlib etc. With Streamlit, no callbacks are needed since widgets are treated as variables. Data caching simplifies and speeds up computation pipelines. Streamlit watches for changes on updates of the linked Git repository and the application will be deployed automatically in the shared link.

This Course is designed to get started with python library called Streamlit for developing webapps on the go. It helps students to learn python and code some python projects into webapps with simple and few lines of code.

We will start from the scratch that what is StreamLit and the installation etc.

Requirements

Please ensure that you have the following

Basic understanding of Programming

Python Programming Skills

Mid to high range PC/ Laptop

Windows 10/Ubuntu/Mac

What you’ll learn

Build a StreamLit Number Tracker App

Integrate Computer Vision into StreamLit

Implement Widgets, buttons and camera inputs

Python and StreamLit WebApp Development on Heroku

Are there any course requirements or prerequisites?

Python Programming Experience

Who this course is for

Students who want to create presentable web apps

Students who want to learn StreamLit and how to integrate it with amazing libraries in python

This is a practice along course. You can code along for maximum learning.