The document introduces Streamlit, a Python library for creating interactive web applications with minimal code, compatible with major data science libraries. It emphasizes Streamlit's versatility, rapid prototyping capabilities, and ease of deployment. Instructions for installation and running a basic Streamlit app are also provided.

1. Introduction to
Streamlit
Karthik Venkatachalam
Data Science- Subject Matter

2. What is Streamlit ?
Streamlit is a Python library that allows you to
create interactive web applications with
minimal code.
You can use Streamlit to display and style data,
create widgets, plot charts, and more.
 Streamlit is compatible with major Python
libraries such as scikit-learn, Keras, PyTorch,
SymPy (latex), NumPy, pandas, Matplotlib etc.

3. Why Streamlit?
Streamlit is a versatile framework designed for
building data applications in Python.
It enables rapid prototyping and iteration, making
development efficient.
Supports a wide range of interactive web elements,
including charts, maps, tables, sliders, buttons, and
more.
Deployment is simple - you can deploy your app with a
single command or host it in the cloud.
With a large and active community of users and
developers, you'll always have the support and resources
you need.

4. Streamlit Installation
Open Anaconda
Prompt in
Windows start
menu
1
In terminal type:
pip install
streamlit
2
Check Status :
streamlit hello
3

5. Creating Your First Streamlit
App
import streamlit as st
# Display a title
st.write("# My first app Hello
*world!*")

6. Running a
Streamlit
App
Create
• Create Your Streamlit App
• Write your Streamlit app in a Python script, e.g.,
"my_first_app.py".
Open
• Open a Terminal
• Open a terminal or command prompt on your computer.
Navigat
e
• Navigate to Your Script
• Use the 'cd' command to navigate to the directory where your
Streamlit app script is located.
Run
• Run Your Streamlit App
• Execute the following command:streamlit run my_first_app.py
Access
• Access Your Streamlit App
• After running the command, a URL will be displayed in the
terminal.
• Open your web browser and visit the provided URL (usually
something like http://localhost:8501)

7. Result

8. Thank You
Any Query : Contact me at
svkarthik86@gmail.com