Welcome to the world of Streamlit, where creating interactive web applications with Python is as simple as writing a script. In this blog post, we’ll embark on a journey to discover the power of Streamlit, from installation to building your first “Hello World” app.
1. Introduction to Streamlit
What is Streamlit?
Streamlit is a Python library designed for data scientists and developers to effortlessly create web applications for data exploration, visualization, and machine learning. What sets Streamlit apart is its emphasis on simplicity and minimal code.
Why Streamlit?
- Ease of Use: You can create powerful web apps with just a few lines of code.
- Rapid Prototyping: Quickly turn data scripts into interactive applications.
- Focus on Data: Streamlit allows you to focus on your data and insights, not the complexities of web development.
2. Installation
System Requirements:
Ensure Python is installed on your system.
Installation:
Open your terminal or command prompt and run:
pip install streamlitThis command installs Streamlit and its dependencies.
Verify Installation:
To confirm a successful installation, run:
streamlit --version3. Hello World in Streamlit
Creating a Simple “Hello World” App:
Create a new Python script (e.g., hello_streamlit.py) and add the following code:
import streamlit as st
# Streamlit "Hello World" app
st.title("Hello, Streamlit!")
Running the App:
Save the script and in your terminal, run:
streamlit run hello_streamlit.pyVisit the provided URL in your web browser to see your “Hello World” app in action.
4. What’s Next?
Congratulations! You’ve successfully installed Streamlit and created your first app. But this is just the beginning. In future blog posts, we’ll delve into more advanced features, such as adding interactive widgets, creating data visualizations, and deploying your apps for the world to see.
Stay tuned for more Streamlit tips and tricks, and let the journey into web app development with Streamlit begin!
